39 20 16481 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Sowmya, T.; Mary Anita, E.A. Title A name given to the resource A novel stable feature selection algorithm for machine learning based intrusion detection system Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Procedia Computer Science;Volume;252;pp.738-747 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.procs.2025.01.034" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.procs.2025.01.034</a> <a href="https://www.scopus.com/pages/publications/85219199616?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85219199616?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sowmya T., Department of Computer Science and Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India, Department of Computer Science and Engineering, School of Engineering and Technology, Christ(Deemed to Be University), Bangalore, India; Mary Anita E.A., Department of Computer Science and Engineering, CHRIST (Deemed to Be University), Karnataka, Bengaluru, 560074, India Description An account of the resource The advent of new technologies like artificial intelligence, and big data has influenced many cyber attackers to launch their attacks on the network. Hence researchers have already proposed Intrusion Detection Systems by incorporating machine learning as well. Building an effective IDS is still a challenging task because of low accuracy. Managing high dimensional data is another major problem that occurs in IDS. Hence in this paper, an efficient Machine Learning based Intrusion Detection System is developed by means of a novel stable feature selection strategy called IV-RFE. The proposed methodology aims to select only the relevant features that contribute to the attack, which is purely based on relative variance, and weight factor in combination with RFE. This methodology increases the performance in terms of accuracy and maintains a stable set of features. Previous studies only focussed on the feature selection strategy and their performance. The feature stability also has to be considered which is an equally important metric, especially in the field of Intrusion Detection Systems. Hence in the current study, an efficient ML based IDS is proposed which selects only the relevant and stable features. Experimental results also revealed that the proposed IV-RFE outperformed well for three attacks with respect to accuracy and stability metrics also. The results show that stability is also an important indicator in selecting the features in the field of Intrusion Detection Systems. 2025 The Authors. Published by Elsevier B.V. Subject The topic of the resource Feature Selection(FS); Intrusion Detection System(IDS); Machine Learning; Recursive Feature Elimination(RFE) Publisher An entity responsible for making the resource available Elsevier B.V. Relation A related resource ISSN: 18770509; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource All Open Access; Gold Open Access Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Novel Steganographic Approach for Image Encryption Using Watermarking Subject The topic of the resource AES; DCT; DFT; DWT; PSNR; Steganography; SVD; Watermark Description An account of the resource Steganography is a technique for obfuscating secret information by enclosing it in a regular, non-secret file or communication; the information is subsequently extracted at the intended location. Steganography can be used in addition to encryption to further conceal or safeguard data. Watermarking is one such technique practiced in the area of steganography. Watermarking can be practiced via multiple algorithmic techniques like Discrete Wavelength Transform (DWT), Discrete Cosine Transform (DCT), Singular Value Decomposition (SVD), Discrete Fourier Transform (DFT). In this study, a combination of such approaches along with AES encrypted watermarked images has been implemented. Validation of these techniques has been achieved by evaluating the Peak Signal to Noise Ratio (PSNR). 2023 IEEE. Creator An entity primarily responsible for making the resource Nanjundan P.; Singh D.; Vij A.; George J.P. Source A related resource from which the described resource is derived 2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023, pp. 1465-1470. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICACCS57279.2023.10112772" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACCS57279.2023.10112772</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159767750&doi=10.1109%2FICACCS57279.2023.10112772&partnerID=40&md5=01979ddd767e699461a0fc53ae4a8ad4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159767750&doi=10.1109%2fICACCS57279.2023.10112772&partnerID=40&md5=01979ddd767e699461a0fc53ae4a8ad4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039737-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nanjundan P., Christ University, Department of Data Science, Pune, Lavasa, India; Singh D., CIMB AI Labs, Department of Data Science, India; Vij A., Elastic Run, Department of Data Science, India; George J.P., Christ University, Department of Data Science, Pune, Lavasa, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Reviews Review Faculty Publications- Reviews Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A novel survey for young substellar objects with the W-band filter III: Searching for very low-mass brown dwarfs in Serpens South and Serpens Core Subject The topic of the resource binaries: general; brown dwarfs; stars: low-mass Description An account of the resource We present CFHT photometry and IRTF spectroscopy of low-mass candidate members of Serpens South and Serpens Core (?430 pc, ?0.5 Myr), identified using a novel combination of photometric filters, known as the W-band method. We report SC182952+011618, SS182959-020335, and SS183032-021028 as young, low-mass Serpens candidate members, with spectral types in the range M7-M8, M5-L0, and M5-M6.5, respectively. Best-fitting effective temperatures and luminosities imply masses of < 0.12M? for all three candidate cluster members. We also present Hubble Space Telescope imaging data (F127M, F139M, and F850LP) for six targets in Serpens South. We report the discovery of the binary system SS183044-020918AB. The binary components are separated by ?45 AU, with spectral types of M7-M8 and M8-M9, and masses of 0.08-0.1 and 0.05-0.07 M. We discuss the effects of high dust attenuation on the reliability of our analysis, as well as the presence of reddened background stars in our photometric sample. 2021 The Author(s). Creator An entity primarily responsible for making the resource Dubber S.; Biller B.; Allers K.; Jose J.; Albert L.; Pantoja B.; Fontanive C.; Liu M.; Zhang Z.; Chen W.-P.; Lalchand B.; Damian B.; Sharma T. Source A related resource from which the described resource is derived Monthly Notices of the Royal Astronomical Society, Vol-505, No. 3, pp. 4215-4234. Publisher An entity responsible for making the resource available Oxford University Press Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1093/mnras/stab1397" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/mnras/stab1397</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128556871&doi=10.1093%2Fmnras%2Fstab1397&partnerID=40&md5=2c46c6941f4235380e6dc1429e50bc3f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128556871&doi=10.1093%2fmnras%2fstab1397&partnerID=40&md5=2c46c6941f4235380e6dc1429e50bc3f</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 358711; CODEN: MNRAA Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Review Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Dubber S., SUPA, Institute for Astronomy, Royal Observatory, University of Edinburgh, Blackford Hill, Edinburgh, EH93HJ, United Kingdom, Centre for Exoplanet Science, University of Edinburgh, Edinburgh, EH9 3HJ, United Kingdom; Biller B., SUPA, Institute for Astronomy, Royal Observatory, University of Edinburgh, Blackford Hill, Edinburgh, EH93HJ, United Kingdom, Centre for Exoplanet Science, University of Edinburgh, Edinburgh, EH9 3HJ, United Kingdom; Allers K., Department of Physics and Astronomy, Bucknell University, Lewisburg, 17837, PA, United States; Jose J., Indian Institute of Science Education and Research (IISER) Tirupati, Rami Reddy Nagar, Karakambadi Road, Mangalam (P.O.), Tirupati, 517 507, India; Albert L., Institut de recherche sur les exoplanes, Universitde Montrl, Quec, H3C 3J7, QC, Canada; Pantoja B., Department of Physics and Astronomy, Bucknell University, Lewisburg, 17837, PA, United States; Fontanive C., Center for Space and Habitability, University of Bern, Gesellschaftsstrasse 6, Bern, CH-3012, Switzerland; Liu M., Institute for Astronomy, University of Hawaii at Manoa, Honolulu, 96822, HI, United States; Zhang Z., Institute for Astronomy, University of Hawaii at Manoa, Honolulu, 96822, HI, United States; Chen W.-P., Graduate Institute of Astronomy, National Central University, Zhongli, Taoyuan, 32001, Taiwan; Lalchand B., Graduate Institute of Astronomy, National Central University, Zhongli, Taoyuan, 32001, Taiwan; Damian B., CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Sharma T., Graduate Institute of Astronomy, National Central University, Zhongli, Taoyuan, 32001, Taiwan Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A novel survey for young substellar objects with the W-band filter IV: detection and characterization of low-mass brown dwarfs in Serpens Core Subject The topic of the resource brown dwarfs; stars: late-type; stars: low-mass Description An account of the resource We present spectroscopic confirmation of nine M5 or later Serpens Core candidate members, identified using a combination of CFHT WIRCam photometry and IRTF SpeX spectroscopy. Through spectral fitting, we find that the latest of these nine candidate members is best fit by an L0 spectral standard (in the range of M8L2), implying a mass of ?0.010.035M?. If confirmed as a cluster member, this would be one of the lowest mass Serpens Core objects ever discovered. We present analysis of the physical properties of the sample, as well as the likely membership of the candidate Serpens Core members. 2023 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society. Creator An entity primarily responsible for making the resource Dubber S.; Biller B.; Albert L.; Liu M.; Jose J.; Zhang Z.; Chen W.-P.; Lalchand B.; Damian B.; Sharma T.; Allers K. Source A related resource from which the described resource is derived Monthly Notices of the Royal Astronomical Society, Vol-520, No. 3, pp. 3383-3395. Publisher An entity responsible for making the resource available Oxford University Press Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1093/mnras/stad283" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/mnras/stad283</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152257294&doi=10.1093%2Fmnras%2Fstad283&partnerID=40&md5=346d6afc77c6fdd869fe68b3ffaf6956" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152257294&doi=10.1093%2fmnras%2fstad283&partnerID=40&md5=346d6afc77c6fdd869fe68b3ffaf6956</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 358711; CODEN: MNRAA Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Dubber S., SUPA, Institute for Astronomy, Royal Observatory, University of Edinburgh, Blackford Hill, Edinburgh, EH93HJ, United Kingdom, Centre for Exoplanet Science, University of Edinburgh, Edinburgh, EH9 3HJ, United Kingdom; Biller B., SUPA, Institute for Astronomy, Royal Observatory, University of Edinburgh, Blackford Hill, Edinburgh, EH93HJ, United Kingdom, Centre for Exoplanet Science, University of Edinburgh, Edinburgh, EH9 3HJ, United Kingdom; Albert L., Institut de Recherche sur les Exoplanes (iREx), Universitde Montrl, Dartement de Physique, C.P. 6128 Succ. Centre-ville, Montrl, H3C 3J7, QC, Canada; Liu M., Institute for Astronomy, University of Hawaii at Manoa, Honolulu, 96822, HI, United States; Jose J., Indian Institute of Science Education and Research (IISER) Tirupati, Rami Reddy Nagar, Karakambadi Road, Mangalam (P.O.), Tirupati, 517 507, India; Zhang Z., Institute for Astronomy, University of Hawaii at Manoa, Honolulu, 96822, HI, United States; Chen W.-P., Graduate Institute of Astronomy, National Central University, Taoyuan, Zhongli, 32001, Taiwan; Lalchand B., Graduate Institute of Astronomy, National Central University, Taoyuan, Zhongli, 32001, Taiwan; Damian B., CHRIST (Deemed to be University, Hosur Road, Bengaluru, 560029, India; Sharma T., Graduate Institute of Astronomy, National Central University, Taoyuan, Zhongli, 32001, Taiwan; Allers K., Department of Physics and Astronomy, Bucknell University, Lewisburg, 17837, PA, United States Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Novel Survey for Young Substellar Objects with the W-band Filter. V. IC 348 and Barnard 5 in the Perseus Cloud Description An account of the resource We report the discovery of substellar objects in the young star cluster IC 348 and the neighboring Barnard 5 dark cloud, both at the eastern end of the Perseus star-forming complex. The substellar candidates are selected using narrowband imaging, i.e., on and off photometric technique with a filter centered around the water absorption feature at 1.45 ?m, a technique proven to be efficient in detecting water-bearing substellar objects. Our spectroscopic observations confirm three brown dwarfs in IC 348. In addition, the source WBIS 03492858+3258064, reported in this work, is the first confirmed brown dwarf discovered toward Barnard 5. Together with the young stellar population selected via near- and mid-infrared colors using the Two Micron All Sky Survey and the Wide-field Infrared Survey Explorer, we diagnose the relation between stellar versus substellar objects with the associated molecular clouds. Analyzed by Gaia EDR3 parallaxes and kinematics of the cloud members across the Perseus region, we propose the star formation scenario of the complex under influence of the nearby OB association. 2022. The Author(s). Published by the American Astronomical Society. Creator An entity primarily responsible for making the resource Lalchand B.; Chen W.-P.; Biller B.A.; Albert L.; Allers K.; Dubber S.; Zhang Z.; Liu M.C.; Jose J.; Damian B.; Sharma T.; Bonnefoy M.; Oasa Y. Source A related resource from which the described resource is derived Astronomical Journal, Vol-164, No. 4 Publisher An entity responsible for making the resource available American Astronomical Society Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3847/1538-3881/ac8547" target="_blank" rel="noreferrer noopener">https://doi.org/10.3847/1538-3881/ac8547</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137776787&doi=10.3847%2F1538-3881%2Fac8547&partnerID=40&md5=d859d2b0137c7b7de602ff3a543b0cad" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137776787&doi=10.3847%2f1538-3881%2fac8547&partnerID=40&md5=d859d2b0137c7b7de602ff3a543b0cad</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 46256 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Lalchand B., Institute of Astronomy, National Central University, 300 Zhongda Road, Zhongli, Taoyuan, 32001, Taiwan; Chen W.-P., Institute of Astronomy, National Central University, 300 Zhongda Road, Zhongli, Taoyuan, 32001, Taiwan, Department of Physics, National Central University, 300 Zhongda Road, Zhongli, Taoyuan, 32001, Taiwan; Biller B.A., SUPA, Institute for Astronomy, University of Edinburgh, Blackford Hill, Edinburgh, EH9 3HJ, United Kingdom, Centre for Exoplanet Science, University of Edinburgh, Edinburgh, United Kingdom; Albert L., Institut de Recherche sur les Exoplanes (IREx), Universitde Montrl, Dartement de Physique, C.P. 6128 Succ. Centre-ville, Montrl, H3C 3J7, QC, Canada; Allers K., Department of Physics and Astronomy, Bucknell University, Lewisburg, 17837, PA, United States; Dubber S., SUPA, Institute for Astronomy, University of Edinburgh, Blackford Hill, Edinburgh, EH9 3HJ, United Kingdom, Centre for Exoplanet Science, University of Edinburgh, Edinburgh, United Kingdom; Zhang Z., The University of Texas at Austin, Department of Astronomy, C1400, 2515 Speedway, Austin, 78712, TX, United States; Liu M.C., Institute for Astronomy, University of Hawai'i, 2680 Woodlawn Drive, Honolulu, 96822, HI, United States; Jose J., Indian Institute of Science Education and Research (IISER) Tirupati, Rami Reddy Nagar, Karakambadi Road, Mangalam (P.O.), Tirupati, 517 507, India; Damian B., CHRIST (Deemed to Be University), Hosur Road, Bengaluru, 560029, India; Sharma T., Institute of Astronomy, National Central University, 300 Zhongda Road, Zhongli, Taoyuan, 32001, Taiwan; Bonnefoy M., Univ. Grenoble Alpes, CNRS, IPAG, Grenoble, F-38000, France; Oasa Y., Faculty of Education, Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama, 338-8570, Japan Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Novel Survey for Young Substellar Objects with the W-band Filter. VI. Spectroscopic Census of Substellar Members and the IMF of the ? Orionis Cluster Description An account of the resource Low-mass stars and substellar objects are essential in tracing the initial mass function (IMF). We study the nearby young ? Orionis cluster (d ? 408 pc, age ? 1.8 Myr) using deep near-infrared (NIR) photometric data in the J, W, and H bands from WIRCam on the Canada-France-Hawaii Telescope. We use the water absorption feature to select brown dwarfs photometrically and confirm their nature spectroscopically with IRTF-SpeX. Additionally we select candidate low-mass stars for spectroscopy and analyze their membership and those of literature sources using astrometry from Gaia DR3. We obtain NIR spectra for 28 very-low-mass stars and brown dwarfs and estimate their spectral type between M3 and M8.5 (masses ranging between 0.3 and 0.01 M ?). Apart from these, we also identify five new planetary-mass candidates which require further spectroscopic confirmation of youth. We compile a comprehensive catalog of 170 spectroscopically confirmed members in the central region of the cluster, for a wide mass range of ?19-0.004 M ?. We estimate the star-to-brown-dwarf ratio to be ?4, within the range reported for other nearby star-forming regions. With the updated catalog of members we trace the IMF down to 4 M Jup and we find that a two-segment power law fits the substellar IMF better than a log-normal distribution. 2023. The Author(s). Published by the American Astronomical Society. Creator An entity primarily responsible for making the resource Damian B.; Jose J.; Biller B.; Herczeg G.J.; Albert L.; Allers K.; Zhang Z.; Liu M.C.; Dubber S.; Paul K.; Chen W.-P.; Lalchand B.; Sharma T.; Oasa Y. Source A related resource from which the described resource is derived Astrophysical Journal, Vol-951, No. 2 Publisher An entity responsible for making the resource available Institute of Physics Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3847/1538-4357/acd115" target="_blank" rel="noreferrer noopener">https://doi.org/10.3847/1538-4357/acd115</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165409811&doi=10.3847%2F1538-4357%2Facd115&partnerID=40&md5=45f54467d25f74a7434c0d91ff4e0d78" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165409811&doi=10.3847%2f1538-4357%2facd115&partnerID=40&md5=45f54467d25f74a7434c0d91ff4e0d78</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 0004637X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Damian B., Department of Physics and Electronics, CHRIST (Deemed to be University, Hosur Road, Bengaluru, 560029, India; Jose J., Indian Institute of Science Education and Research (IISER) Tirupati, Rami Reddy Nagar, Karakambadi Road, Mangalam (P.O.), Tirupati, 517507, India; Biller B., SUPA, Institute for Astronomy, University of Edinburgh, Blackford Hill, Edinburgh, EH9 3HJ, United Kingdom, Centre for Exoplanet Science, University of Edinburgh, Edinburgh, United Kingdom; Herczeg G.J., Kavli Institute for Astronomy and Astrophysics, Peking University, Yiheyuan 5, Haidian Qu, Beijing, 100871, China, Department of Astronomy, Peking University, Yiheyuan 5, Haidian Qu, Beijing, 100871, China; Albert L., Institut de Recherche sur les Exoplanes (iREx), Universitde Montrl, Dartement de Physique, C.P. 6128 Succ. Centre-ville, Montrl, H3C 3J7, QC, Canada; Allers K., Department of Physics and Astronomy, Bucknell University, Lewisburg, 17837, PA, United States; Zhang Z., Department of Astronomy & Astrophysics, University of California, Santa Cruz, 1156 High St, Santa Cruz, 95064, CA, United States; Liu M.C., Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, 96822, HI, United States; Dubber S., SUPA, Institute for Astronomy, University of Edinburgh, Blackford Hill, Edinburgh, EH9 3HJ, United Kingdom, Centre for Exoplanet Science, University of Edinburgh, Edinburgh, United Kingdom; Paul K., Department of Physics and Electronics, CHRIST (Deemed to be University, Hosur Road, Bengaluru, 560029, India; Chen W.-P., Institute of Astronomy, National Central University, 300 Zhongda Road, Zhongli, Taoyuan, 32001, Taiwan, Department of Physics, National Central University, 300 Zhongda Road, Zhongli, Taoyuan, 32001, Taiwan; Lalchand B., Institute of Astronomy, National Central University, 300 Zhongda Road, Zhongli, Taoyuan, 32001, Taiwan; Sharma T., Institute of Astronomy, National Central University, 300 Zhongda Road, Zhongli, Taoyuan, 32001, Taiwan; Oasa Y., Faculty of Education, Graduate School of Science and Engineering, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama, 338-8570, Japan Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Sharma, Tanvi; Chen, Wen Ping; Biller, Beth; Albert, Lo; Damian, Belinda; Jose, Jessy; Lalchand, Bhavana; Liu, Michael C.; Oasa, Yumiko Title A name given to the resource A Novel Survey for Young Substellar Objects with the W-band Filter. VII. Water-bearing Objects in the Core of the ? Ophiuchi Cloud Complex Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Astrophysical Journal;Volume;980;Issue;2;Article No.;205; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3847/1538-4357/ada3c3" target="_blank" rel="noreferrer noopener">https://doi.org/10.3847/1538-4357/ada3c3</a> <a href="https://www.scopus.com/pages/publications/85217924727?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85217924727?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sharma T., Institute of Astronomy, National Central University, 300 Zhongda Road Zhongli, Taoyuan, 32001, Taiwan; Chen W.P., Institute of Astronomy, National Central University, 300 Zhongda Road Zhongli, Taoyuan, 32001, Taiwan, Department of Physics, National Central University, 300 Zhongda Road Zhongli, Taoyuan, 32001, Taiwan; Biller B., Institute for Astronomy, Royal Observatory, University of Edinburgh, Blackford Hill, Edinburgh, EH93HJ, United Kingdom; Albert L., Institut Trottier de recherche sur les exoplanes, Universitde Montrl, Montrl, H3C 3J7, QC, Canada, Dartement de physique, Universitde Montrl, Montrl, H3C 3J7, QC, Canada; Damian B., SUPA, School of Physics Astronomy, University of St Andrews, North Haugh, St Andrews, KY16 9SS, United Kingdom, Department of Physics and Electronics, CHRIST (Deemed to be University, Hosur Road, Bengaluru, 560029, India; Jose J., Department of Physics, Indian Institute of Science Education and Research Tirupati, Yerpedu Andhra Pradesh, Tirupati, 517619, India; Lalchand B., Institute of Astronomy, National Central University, 300 Zhongda Road Zhongli, Taoyuan, 32001, Taiwan; Liu M.C., Institute for Astronomy, University of Hawaii, 2680 Woodlawn Drive, Honolulu, 96822, HI, United States; Oasa Y., Faculty of Education, Graduate School of Science and Engineering, Saitama University, 255, Shimo-Okubo, Sakura, Saitama, 338-8570, Japan Description An account of the resource We present a study of very low mass stars and brown dwarfs in the rich star-forming core of the ? Ophiuchi cloud complex. The selection of the sample relies on detecting the inherent water absorption characteristic in young substellar objects. Of the 22 water-bearing candidates selected, 15 have a spectral type of M6 or later. Brown dwarf candidates too faint for membership determination by Gaia have their proper motions derived by deep-infrared images spanning 6 yr. Astrometric analysis confirms 21/22 sources as members, with one identified as a contaminant. Infrared colors and the spectral energy distribution of each water-bearing candidate are used to diagnose the mass, age, and possible existence of circumstellar dust. A total of 15 sources exhibit evidence of disks in their spectral energy distributions, as late as in M8-type objects. Spectroscopy for bright candidates has confirmed one as an M8 member and verified two sources (with disks) exhibiting signatures of magnetospheric accretion. 2025. The Author(s). Published by the American Astronomical Society. Publisher An entity responsible for making the resource available Institute of Physics Relation A related resource ISSN: 0004637X; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A novel technique for leaf disease classification using Legion Kernels with parallel support vector machine (LK-PSVM) and fuzzy C means image segmentation Subject The topic of the resource Image segmentation; Leaf disease; Machine learning; Particle swarm optimization and edge feature detection Description An account of the resource Detection of plant disease and classificationare being investigated in many parts of the worldto save precious medical plants from becoming extinct.Major problem in this task, include the lack of advanced and technology driven solution. Manual identification is often time-consuming and prone to inaccuracies. Therefore, there is an urgent need for an automated and efficient method that can accurately identify and classify plant diseases. This article focuses on detecting the disease through classificationthrough a new technique using leaf images for automatic classification. This paper proposes a novel segmentation technique using Fuzzy C means and Particle Swarm Optimization for effective segmentation of leaf images and feature extraction that can help in classification of disease.The approach emphasizes on the integration of techniques such as image processing, segmentation and feature extraction and finally the classification, which offers a comprehensive solution for the disease detection. The work leverages on the advantages of Legion Kernels and Parallal support vector Machine (LK-PSVM) clubbed with fuzzy C means Image segmentation to offer a framework that can handle diverse leaf images and which can effectively differentiate the type of the disease.The proposed method LK-PSVM combined with Fuzzy C means presents a novel approach that is significantly deviated from the conventional methods of leaf disease classification.The proposed wok brings an integrated framework which can synergistically combine the Legion Kernels with the PSVM technique coupled with Fuzzy C Means Image segmentation which can handle the issue of overlapped data sets and support vector machines are used to handle the situation where the number of dimensions are more than the number of samples, which is more probable in the classification problem under consideration.By integrating these components, the proposed method achieves more accuracy and robustness when compared to the existing methods in the literature. The segmentation is carried out using PSO after pre-processing of images. The Gaussian functions are used to eliminate the background subtraction. Different features of the images are then computed. A total of 55,400 images were used for the experiment consisting of various plants leaves spreading across 38 labels. A classifier is then proposed using Machine learning methods for the detection of disease in apple fruit leaves. The experiments prove that the proposed method have high degree of classification accuracy when compared to existing methods. The proposed method not only cater to the need in terms of accuracy but also making it scalable for different types of leaves. 2024 The Authors Creator An entity primarily responsible for making the resource Rajagopal M.; Kayikci S.; Abbas M.; Sivasakthivel R. Source A related resource from which the described resource is derived Heliyon, Vol-10, No. 12 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.heliyon.2024.e32707" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.heliyon.2024.e32707</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196307387&doi=10.1016%2Fj.heliyon.2024.e32707&partnerID=40&md5=a31af7d764bfbfe9d8c0fcb35ce7cdab" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196307387&doi=10.1016%2fj.heliyon.2024.e32707&partnerID=40&md5=a31af7d764bfbfe9d8c0fcb35ce7cdab</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 24058440 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajagopal M., School of Business and Management, Christ (Deemed to be University), Karnataka, Bengaluru, India; Kayikci S., Department of Computer Engineering, Bolu Abant Izzet Baysal University, Bolu, Turkey; Abbas M., Electrical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia; Sivasakthivel R., Department of Computer Science, School of Sciences, Christ (Deemed to be University), Karnataka, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Novel Technique for Magnetic Particle Separation Using Current-Carrying Slotted Plate Description An account of the resource In this paper, a novel method for separating and trapping different magnetic particles is presented. Changes in the current-carrying structure yield disturbing the generated magnetic field. Here, slots were innovatively crafted on the current-carrying plate positioned beneath the microchannel, resulting in a non-uniform magnetic field distribution. This breakthrough enables the separation of different particle types using a constant and low electric current for the very first time, leading to a significant advancement in the field. More importantly, this proposed technique offers several advantages, including the generation of low levels of current and heat, ease of construction, and the ability to control the magnetic field produced by the electric current. In this study, the capability to effectively separate various particle types using a constant electric current was demonstrated with a remarkable separation efficiency of about 100%. By applying a 100[mA] electric current to the plate that carries electric current, the separation of two particle types M-450 and M-280 was achieved at a velocity of 2[?m/s]. 2024 IEEE. Creator An entity primarily responsible for making the resource Asgharivaskasi R.; Mashayekhi V.; Nameni A.; Azadi-Tinat N.; Kumar N.; Koohestani M. Source A related resource from which the described resource is derived IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), pp. 2431-2432. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/AP-S/INC-USNC-URSI52054.2024.10686105" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AP-S/INC-USNC-URSI52054.2024.10686105</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207097321&doi=10.1109%2FAP-S%2FINC-USNC-URSI52054.2024.10686105&partnerID=40&md5=0234777123fa91536175e4125c3ffbb3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207097321&doi=10.1109%2fAP-S%2fINC-USNC-URSI52054.2024.10686105&partnerID=40&md5=0234777123fa91536175e4125c3ffbb3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15223965; ISBN: 979-835036990-8; CODEN: IAPSB Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Asgharivaskasi R., Shahrood University of Technology, Department of Electrical Engineering, Shahrood, Iran; Mashayekhi V., Shahrood University of Technology, Department of Electrical Engineering, Shahrood, Iran; Nameni A., Shahrood University of Technology, Faculty of Mechanical Engineering, Shahrood, Iran; Azadi-Tinat N., Shahrood University of Technology, Department of Electrical Engineering, Shahrood, Iran; Kumar N., Christ University, Department of Electronics and Communication Engineering, Bengaluru, India; Koohestani M., ole Supieure d'ectronique de l'Ouest, Department of Electrical and Electronic Engineering, Angers, France Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Novel Threshold based Method for Vessel Intensity Detection and Extraction from Retinal Images Subject The topic of the resource and segmentation; blood vessel detection; cumulative distribution function introduction; hysteresis thresholding; Retinal images; segmentation Description An account of the resource Retinal vessel segmentation is an active research area in medical image processing. Several research outcomes on retinal vessel segmentation have emerged in recent years. Each method has its own pros and cons, either in the vessel detection stage or in its extraction. Based on a detailed empirical investigation, a novel retinal vessel extraction architecture is proposed, which makes use of a couple of existing algorithms. In the proposed algorithm, vessel detection is carried out using a cumulative distribution function-based thresholding scheme. The resultant vessel intensities are extracted based on the hysteresis thresholding scheme. Experiments are carried out with retinal images from DRIVE and STARE databases. The results in terms of Sensitivity, Specificity, and Accuracy are compared with five standard methods. The proposed method outperforms all methods in terms of Sensitivity and Accuracy for the DRIVE data set, whereas for STARE, the performance is comparable with the best method. 2021. All Rights Reserved. Creator An entity primarily responsible for making the resource Wahid F.F.; K S.; G R.; Swain D.; Acharya B.; Pradhan M.R. Source A related resource from which the described resource is derived International Journal of Advanced Computer Science and Applications, Vol-12, No. 6, pp. 546-554. Publisher An entity responsible for making the resource available Science and Information Organization Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.14569/IJACSA.2021.0120663" target="_blank" rel="noreferrer noopener">https://doi.org/10.14569/IJACSA.2021.0120663</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109160687&doi=10.14569%2FIJACSA.2021.0120663&partnerID=40&md5=5635a3600b11f7e5db4a8067119abec6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109160687&doi=10.14569%2fIJACSA.2021.0120663&partnerID=40&md5=5635a3600b11f7e5db4a8067119abec6</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 2158107X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Wahid F.F., Department of Information Technology, Kannur University, Kannur, Kerala, India; K S., Department of Information Technology, Kannur University, Kannur, Kerala, India; G R., Department of Computer Science and Engineering, Faculty of Engineering, Christ (Deemed to be University), Bengaluru, Karnataka, India; Swain D., Department of Computer Science and Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India; Acharya B., School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India; Pradhan M.R., School of Information Technology, Skyline University College, Sharjah, United Arab Emirates Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Novel Two-Step Bayesian Hyperparameter Optimization Strategy for DoS Attack Detection in IoT Subject The topic of the resource Bayesian Optimization; Comparative analysis of Hyperparameters values in Machine Learning; Denial of Service attack in IoT; Hyperparameter Optimization; Machine Learning Description An account of the resource Variations of Hyperparameter in Machine Learning (ML) algorithm effectively strikes the model's performance in terms of accuracy, loss, F1 score and many others. In the current study a two-step hyperparameter optimization approach is represented to analyse selected ML models' performance in detecting specific Denial of Service attacks in IoT. These attacks are Synchronization Flooding Attack at Transport layer, DIS Flooding attack and Sinkhole attack at Network layer. The two-step approach is a combination of Manual Hyperparameter tuning followed by Bayesian Optimization technique. The first stage manually analyses the hyperparameters of ML algorithms by considering the nature of the attack datasets. This technique is quite rigorous as it demands thorough analysis of the dependencies of the nature of datasets with hyperparameter types. At the same time this process is time consuming. The output of the first stage is the ranges of independent hyperparameter values that give maximum accuracy (minimum error rate). In the next stage Bayesian Hyperparameter tuning is used to specifically derive the single set of all hyperparameters values that give optimized accuracy faster than the BO. The input to the second stage is the ranges of individual hyperparameters that gave maximum accuracy in the first stage. The efficiency of the approach is depicted by comparative analysis of training time between the proposed and existing BO. NetSim simulator is used for generating attack datasets and Python packages are used for executing the two-step approach. 2024 IEEE. Creator An entity primarily responsible for making the resource Sinha S.; Choudhary S.; Paul A. Source A related resource from which the described resource is derived 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024, pp. 112-119. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IDCIoT59759.2024.10467454" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IDCIoT59759.2024.10467454</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190147837&doi=10.1109%2FIDCIoT59759.2024.10467454&partnerID=40&md5=388f0ad447062e86436c1da48a8231cc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190147837&doi=10.1109%2fIDCIoT59759.2024.10467454&partnerID=40&md5=388f0ad447062e86436c1da48a8231cc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835032753-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sinha S., CHRIST (Deemed to Be University), Department of Computer Science, Bengaluru, 560029, India; Choudhary S., Banasthali Vidyapith, Department of Computer Science, Rajasthan, 304022, India; Paul A., Banasthali Vidyapith, Department of Computer Science, Rajasthan, 304022, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A novel two-tier feature selection model for Alzheimers disease prediction Subject The topic of the resource Hybrid regression models; Machine learning algorithms; neural network; Regression model; Statistical validation Description An account of the resource The interdisciplinary research studies of artificial intelligence in health sector is bringing drastic life saving changes in the healthcare domain. One such aspect is the early disease prediction using machine learning and regression algorithms. The purpose of this research is to improve the prediction accuracy of Alzheimers disease by analysing the correlation of unexplored Alzheimer causing diseases. The work proposes Chi square-lasso ridge linear (Chi-LRL) model, a new two-tier feature ranking model which recognizes the significance of including diabetes, blood pressure and body mass index as potential Alzhiemer predictive parameters. The newly added predictive parameters of Alzheimers disease were statistically verified along with the conventional prediction parameters using chi-square method (Chi) as Tier 1 and an embedded model of lasso, ridge and linear (LRL) Regression for feature ranking as Tier 2. The performance of the proposed Chi-LRL model with selected features were then analysed using machine learning algorithms for performance analysis. The result shows a noticeable performance by selecting eleven significant features and a 4.5% increase in the prediction accuracy of Alzheirmer disease. 2024 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Maju S.V.; Pushpam G.P.O.S. Source A related resource from which the described resource is derived Indonesian Journal of Electrical Engineering and Computer Science, Vol-33, No. 1, pp. 227-235. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijeecs.v33.i1.pp227-235" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijeecs.v33.i1.pp227-235</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184578040&doi=10.11591%2Fijeecs.v33.i1.pp227-235&partnerID=40&md5=797901cdc6f140b45bb127bedca8a579" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184578040&doi=10.11591%2fijeecs.v33.i1.pp227-235&partnerID=40&md5=797901cdc6f140b45bb127bedca8a579</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 25024752 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Maju S.V., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, India; Pushpam G.P.O.S., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Verma, Narinder; Kumar, Neerendra; Singh, Kuljeet; Aljohani, Abeer; Sinha, Anurag; Hussain, Syed Abid Title A name given to the resource A novel univariate feature selection with ANOVA F-test-based machine learning model for Intrusion Detection Framework of Robotics system Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Applied Artificial Intelligence;Volume;39;Issue;1;Article No.;2539395; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/08839514.2025.2539395" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/08839514.2025.2539395</a> <a href="https://www.scopus.com/pages/publications/105013234445?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013234445?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Verma N., Department of Computer Science and IT, Central University of Jammu, Jammu, India; Kumar N., Department of Computer Science and IT, Central University of Jammu, Jammu, India; Singh K., Department of Computer Science, Christ University, Delhi, India; Aljohani A., Department of Computer Science, Applied College, Taibah University, Medina, Saudi Arabia; Sinha A., Tech School, Computer Science Department, ICFAI University, Jharkhand, Ranchi, India; Hussain S.A., Department of Computer Science and Engineering, Bakhtar University, Kabul, Afghanistan Description An account of the resource Robotic systems have become popular across various industries, ranging from manufacturing and healthcare to logistics and space exploration. However, increasing the integration of robotic systems into critical infrastructures exposes devices to cybersecurity threats. The intrusion detection system (IDS) plays a vital role in safeguarding the systems from malicious activities and unauthorized access. This paper presents a novel, robotics-aware IDS framework incorporating hybrid feature selection and tailored classification strategies for robotic system. To evaluate the efficacy of the presented framework, an algorithm is also designed and tested using multiple machine-learning techniques. The NSL-KDD dataset is utilized for training and evaluating machine learning models due to the inclusion of a wide range of attack scenarios and normal instances. The results demonstrate that the proposed IDS effectively classifies cyberattacks relevant to robotic systems. The presented framework is also evaluated against existing IDS approaches in robotic systems. The results demonstrate that the proposed approach exhibits better results in terms of accuracy, robustness, and adaptability to emerging cyber threats. 2025 The Author(s). Published with license by Taylor & Francis Group, LLC. Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Relation A related resource ISSN: 8839514; CODEN: AAINE Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Narayanan, Pughazendi; Jeevan Nagendra Kumar, Y.; Chandrasekhar, Rohith Bhat; Kumaresan, Praghash Title A name given to the resource A novel wide slice kronecker forward fractional network for osteoporosis detection using knee X-ray image Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Knowledge-Based Systems;Volume;342;Issue;;Article No.;115806; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.knosys.2026.115806" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.knosys.2026.115806</a> <a href="https://www.scopus.com/pages/publications/105035378381?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035378381?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Narayanan P., Faculty of Science and Humanities, SRM Institute of Science and Technology (Ramapuram Campus), Chennai, 600 089, India; Jeevan Nagendra Kumar Y., Department of Information Technology, Gokaraju Rangaraju Institute of Engineering and Technology, Bachupally, Hyderabad, India; Chandrasekhar R.B., Department of Computer Science and Engineering Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Tamil Nadu, Chennai, India; Kumaresan P., Department of Electronics and Communication Engineering, Christ University, Bengaluru, India Description An account of the resource Osteoporosis is an asymptomatic and progressive skeletal disorder that maximizes the risk of fractures in people aged 50 to 60. Early and accurate detection is critical, yet challenging, due to the fine structural changes in bone that are often difficult to identify in routine medical images. Knee X-rays are commonly used diagnostic tools, but interpreting them for osteoporosis detection remains complex because of variations in bone geometry and trabecular patterns. To solve these challenges, the novel Wide Slice Kronecker Forward Fractional Network (WKFF-Net) is developed to detect osteoporosis efficiently. Initially, the input image is taken from the database for detection. Here, the denoising process is done using the Non-Local Means (NLM) filter, and the Otsu thresholding method is considered for the segmentation process. Further, a template search method is used for analyzing the femur geometry. Next, features, like spatial, adaptive Local Binary Patterns (aLBP), Convolutional Neural Networks (CNN), and medical-level features, are extracted, and osteoporosis detection is accomplished by the hybrid WKFF-Net model that integrates Deep Kronecker Network (DKN), Wide Slice Residual Network (WISeR), and fractional calculus. The experimental results obtained by the WKFF-Net are 90.868% accuracy, 92.876% True Positive Rate (TPR), 87.766% True Negative Rate (TNR), 89.888% precision, and 91.357% F1-score, for 90% of the training samples. 2026 Elsevier B.V. Subject The topic of the resource Deep learning; Knee X-ray images; Non-local means filter; Ostu thresholding; Wide slice kronecker forward fractional network Publisher An entity responsible for making the resource available Elsevier B.V. Relation A related resource ISSN: 9507051; CODEN: KNSYE Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A numerical approach to the coupled atmospheric ocean model using a fractional operator Subject The topic of the resource CaputoFabrizio derivative; El Nino-Southern oscillation model; fixed point theorem Description An account of the resource In the present framework, the coupled mathematical model of the atmosphere-ocean system called El Nino-Southern Oscillation (ENSO) is analyzed with the aid Adams-Bashforth numerical scheme. The fundamental aim of the present work is to demonstrate the chaotic behaviour of the coupled fractional-order system. The existence and uniqueness are demonstrated within the frame of the fixed-point hypothesis with the CaputoFabrizio fractional operator. Moreover, we captured the chaotic behaviour for the attained results with diverse order. The effect of the perturbation parameter and others associated with the model is captured. The obtained results elucidate that, the present study helps to understand the importance of fractional order and also initial conditions for the nonlinear models to analyze and capture the corresponding consequence of the fractional-order dynamical systems. 2021 by the authors. Creator An entity primarily responsible for making the resource Veeresha P. Source A related resource from which the described resource is derived Mathematical Modelling and Numerical Simulation with Applications, Vol-1, No. 1, pp. 1-10. Publisher An entity responsible for making the resource available Mehmet Yavuz Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.53391/mmnsa.2021.01.001" target="_blank" rel="noreferrer noopener">https://doi.org/10.53391/mmnsa.2021.01.001</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116482235&doi=10.53391%2Fmmnsa.2021.01.001&partnerID=40&md5=b0833684613fbb157de85c1bb103ace7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116482235&doi=10.53391%2fmmnsa.2021.01.001&partnerID=40&md5=b0833684613fbb157de85c1bb103ace7</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 27918564 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Veeresha P., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Numerical Investigation on Thermal Gradients and Stresses in High Temperature PEM Fuel Cell During Start-up Subject The topic of the resource Finite element analysis; Fluid-structure interaction; Fuel cell; Start-up; Thermal stress Description An account of the resource The High Temperature Polymer Electrolyte Fuel Cell (HT-PEMFC) stacks using polybenzimidazole (PBI) based membranes have an inability to internally heat up at low temperatures to their nominal operating temperature (160C180C) during the start-up process. Several strategies, such as direct electrical heating, coolant/gas channel heating, catalytic hydrogen-oxygen combustion, etc., are proposed in the literature to assist the heating for quick start-up situations. However, little knowledge exists on the transient thermomechanical stresses induced during the start-up heating process due to non-uniformity in heat supply and disparity in thermal properties of the cell components. The objective of the present research is to analyze the thermal gradients and thermal stresses developed in the HT-PEMFC structure during the start-up with various heating methods discussed in the literature, as well as during the cell operation by exploiting the Fluid-Structure Interaction (FSI) approach. The use of polyalkylene glycol (Fragoltherm S-15-A) based Heat Transfer Fluid (HTF) in the coolant channel has substantially improved the start-up time due to the high Nusselt number. However, a significant gradient in temperature distribution is observed during the preheating process, which resulted in great inhomogeneous stresses in the membrane, particularly in the in-plane direction. Interestingly, the degree of uniformity in membrane current density distribution during cell operation is increased. A detailed heat analysis in the cell showed that the heat generated in the cell due to electrochemical reactions is sufficient to raise the cell temperature from 120C to operating temperature in a short time. Being subjected to a compressive stress of above 40 MPa, which is higher than the ultimate strength of a typical acid doped PBI membrane, the electrolyte is the most vulnerable component during the start-up. Hence, to inhibit the concomitant effect on cell performance and degradation, a novel start-up strategy should be implemented. 2021 Elsevier Ltd Creator An entity primarily responsible for making the resource Varghese G.; Babu?K.P. V.; Joseph T.V.; Chippar P. Source A related resource from which the described resource is derived International Journal of Heat and Mass Transfer, Vol-175 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.ijheatmasstransfer.2021.121365" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ijheatmasstransfer.2021.121365</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105331960&doi=10.1016%2Fj.ijheatmasstransfer.2021.121365&partnerID=40&md5=8685eb6ed9564cc310e26e2d24b8c149" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105331960&doi=10.1016%2fj.ijheatmasstransfer.2021.121365&partnerID=40&md5=8685eb6ed9564cc310e26e2d24b8c149</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 179310; CODEN: IJHMA Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Varghese G., CHRIST (Deemed to be University), Bengaluru, 560 029, India; Babu?K.P. V., CHRIST (Deemed to be University), Bengaluru, 560 029, India; Joseph T.V., CHRIST (Deemed to be University), Bengaluru, 560 029, India; Chippar P., St Joseph Engineering College (Affiliated to Visvesvaraya Technological University, Belagavi), VamanjoorMangaluru, 575 028, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A pair of kinematically related space curves Subject The topic of the resource Axode; constant pitch; Frenet-Serret motion; Mannheim curve; moving frame; pitch Description An account of the resource We investigate the relation between two types of space curves, the Mannheim curves and constant-pitch curves and primarily explicate a method of deriving Mannheim curves and constant-pitch curves from each other by means of a suitable deformation of a space curve. We define a "radius" function and a "pitch" function for any arbitrary regular space curve and use these to characterize the two classes of curves. A few non-trivial examples of both Mannheim and constant pitch curves are discussed. The geometric nature of Mannheim curves is established by using the notion of osculating helices. The Frenet-Serret motion of a rigid body in theoretical kinematics is studied for the special case of a Mannheim curve and the axodes in this case are deduced. In particular, we show that the fixed axode is developable if and only if the motion trajectory is a Mannheim curve. 2018 World Scientific Publishing Company. Creator An entity primarily responsible for making the resource Bhat V.S.; Haribaskar R. Source A related resource from which the described resource is derived International Journal of Geometric Methods in Modern Physics, Vol-15, No. 10 Publisher An entity responsible for making the resource available World Scientific Publishing Co. Pte Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1142/S0219887818501803" target="_blank" rel="noreferrer noopener">https://doi.org/10.1142/S0219887818501803</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052965182&doi=10.1142%2FS0219887818501803&partnerID=40&md5=0a7ea822012c1aa9460e3fc694f808ae" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052965182&doi=10.1142%2fS0219887818501803&partnerID=40&md5=0a7ea822012c1aa9460e3fc694f808ae</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2198878 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bhat V.S., Department of Mathematics, Christ University, Hosur Road, Bangalore, Karnataka, 560078, India; Haribaskar R., Department of Mathematics, Christ University, Hosur Road, Bangalore, Karnataka, 560078, India https://archives.christuniversity.in/files/original/8f949a5ca4a404e8a521c00eda0bff47.jpg 9fbfdca2ec80ff09dab28d799a07cfba Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Paradigm shift in Family therapy in India : Exploration from Socioeconomic, Cultural and Spiritual Perspectives Subject The topic of the resource Psychology Description An account of the resource International Journal of Physical and Social Sciences Vol. 3, Issue 3,pp. 153-166 , ISSN No. 2249-5894 Creator An entity primarily responsible for making the resource Antony George William Publisher An entity responsible for making the resource available International Journal of Physical and Social Sciences Language A language of the resource English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Baruah, Anganabha Title A name given to the resource A Paradigmatic Shift: Telehealth Counselling's Expansion and Challenges in India Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Journal of Evaluation in Clinical Practice;Volume;31;Issue;3;Article No.;e70089; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1111/jep.70089" target="_blank" rel="noreferrer noopener">https://doi.org/10.1111/jep.70089</a> <a href="https://www.scopus.com/pages/publications/105002238491?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002238491?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Baruah A., Department of Psychology, Christ University, Bangalore, India Description An account of the resource Background: This study provides a comprehensive analysis of the rapid expansion and transformative impact of telehealth counselling in India, a trend significantly propelled by the challenges posed by the COVID-19 pandemic. Methodology: This paper presents a perspective on the current telehealth landscape, synthesizing insights from an extensive literature review. The investigation integrates qualitative insights from health care practitioners and clients, allowing for a multifaceted understanding of the emerging obstacles linked to telehealth implementation. The synthesis is structured around several key concepts identified in the literature, including the efficacy of telehealth counselling services compared to traditional face-to-face interactions, the resilience of mental health services during crises, and the growing acceptance of digital modalities among patients. Additionally, it explores significant challenges such as disparities in technological access, the need for comprehensive regulatory frameworks, varying levels of patient receptivity, infrastructural limitations, and the readiness of health care professionals to adopt telehealth technologies. Results: By focusing on these areas, the paper elucidates the complex interplay of technical, regulatory, and cultural factors shaping the telehealth ecosystem in India. It advocates for urgent policy enhancements and the continuous integration of technology to effectively address these barriers. Discussion: This perspective underscores the potential for telehealth counselling to evolve into a permanent and essential component of India's mental health service delivery model, ultimately contributing to a more resilient and accessible health care system. Conclusion: The conclusions drawn emphasize the necessity for targeted policy interventions and the establishment of robust technological infrastructures to foster a more inclusive and effective telehealth environment, ensuring mental health services reach all segments of the population. 2025 John Wiley & Sons Ltd. Subject The topic of the resource COVID-19 pandemic; digital health care; technological integration; telehealth counselling Publisher An entity responsible for making the resource available John Wiley and Sons Inc Relation A related resource ISSN: 13561294; CODEN: JECPF Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A parallel approach for region-growing segmentation Subject The topic of the resource Graphical Processing Unit; Image Segmentation; Parallel Processing; Region Growing Description An account of the resource Image Segmentations play a heavy role in areas such as computer vision and image processing due to its broad usage and immense applications. Because of the large importance of image segmentation a number of algorithms have been proposed and different approaches have been adopted. In this theme I tried to parallelize the image segmentation using a region growing algorithm. The primary goal behind this theme is to enhance performance or speed up the image segmentation on large volume image data sets, i.e. Very high resolution images (VHR). In parliamentary law to get the full advantage of GPU computing, equally spread the workload among the available threads. Threads assigned to individual pixels iteratively merge with adjacent segments and always ensuring the standards that the heterogeneity of image objects should be belittled. An experimental analysis upon different orbital sensor images has made out in order to assess the quality of results. 2015 IEEE. Creator An entity primarily responsible for making the resource Baby A.S.; Balachandran K. Source A related resource from which the described resource is derived Conference Proceeding - 2015 International Conference on Advances in Computer Engineering and Applications, ICACEA 2015, pp. 196-200. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2015-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICACEA.2015.7164694" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACEA.2015.7164694</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947996743&doi=10.1109%2FICACEA.2015.7164694&partnerID=40&md5=abc1e9b0378914dc8109ac581482a7cb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947996743&doi=10.1109%2fICACEA.2015.7164694&partnerID=40&md5=abc1e9b0378914dc8109ac581482a7cb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-146736911-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Baby A.S., Dept. of CSE, Christ University, Bengaluru, India; Balachandran K., Dept. of CSE, Christ University, Bengaluru, India