40 20 11858 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 Modeling of the LiouvilleGreen method to approximate the mechanical waves in functionally graded and piezo material with a comparative study Subject The topic of the resource analytical modeling; approximation method; Liouville-Green; mechanical surface waves; smart materials Description An account of the resource The present research article studies and compares the surface waves transmission through the functionally graded piezoelectric material (FGPM) club between the piezomagnetic (PM) layer -and half-space, and for a comparative study, lower half-space is assumed to be piezoelectric material. The transmission of mechanical waves in a smart structure is analyzed by following the elastic wave theory of magneto-electro-elasticity. The Liouville-Green (LG) approximation technique is used to solve the differential equation in the FGPM stratum, where exponential variation is assumed in material gradients. It is noticed that the material gradients depend considerably on the angular frequency, which should be a crucial factor in regulating the dispersion characteristics of functionally graded materials (FGM) waveguides. In closed determinant form, the dispersion relation has been obtained for FGPM plate for electrically open and short cases. The profound effect of parameters, such as material gradient, a width of the layer on phase velocity, coupled electromechanical factor, and angular velocity, is observed and delineated graphically. Different parametric plots are sub-plotted into a single figure to increase the readability of the graphs. 2022 Informa UK Limited, trading as Taylor & Francis Group. Creator An entity primarily responsible for making the resource Ansari A.Z.; Saeed A.M.; Singhal A.; Tiwari R.; Shujat F.; Kumar B. Source A related resource from which the described resource is derived Waves in Random and Complex Media Publisher An entity responsible for making the resource available Taylor and Francis Ltd. 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/10.1080/17455030.2022.2049921" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/17455030.2022.2049921</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127197241&doi=10.1080%2F17455030.2022.2049921&partnerID=40&md5=42e95b89def4ac15918c91040d9f69e6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127197241&doi=10.1080%2f17455030.2022.2049921&partnerID=40&md5=42e95b89def4ac15918c91040d9f69e6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17455030 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 Ansari A.Z., Department of Mathematics, Faculty of Science, Islamic University of Madinah, Madinah, Saudi Arabia; Saeed A.M., Department of Mathematics, College of Science, Qassim University, Buraydah, Saudi Arabia; Singhal A., School of Sciences, Christ (Deemed to be University), NCR, Delhi, India; Tiwari R., Nitishwar College, Babasaheb Bhimrao Ambedkar University, Muzzaffarpur, India; Shujat F., Department of Mathematics, Faculty of Science, Taibah University, Madinah, Saudi Arabia; Kumar B., School of Mathematics, Thapar Institute of Engineering and Technology, Patiala, 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 Examining the consumption of oil on total factor productivity and CO2 emissions: an analysis of highly oil-consuming countries Subject The topic of the resource CO2 emission; Oil consumption; TFP; Top oil-consuming countries Description An account of the resource Purpose: This study aims to examine the impact of oil consumption on carbon dioxide (CO2) emissions and total factor productivity (TFP) in highly oil-consuming countries of the world from 1995 to 2019. Design/methodology/approach: For this purpose, fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) are applied. Findings: FMOLS and DOLS models reveal that oil consumption, human capital, population, trade openness and nonrenewable energy have a significant positive effect on CO2 emissions. While information and communication technology (ICT), as proxied by mobile and natural resources, has a significant negative effect on CO2 emissions. In the case of TFP, oil consumption, ICT and natural resources have a significant positive effect on the TFP. On the other hand, trade openness, population, human capital and nonrenewable energy have a significant negative effect on TFP. The results of this study can help to provide policy recommendations to reduce CO2 emissions in studied highly oil-consuming countries of the world. Originality/value: Due to the threat to sustainable development, climate change has become a major topic for debate around the world. The influence of oil consumption on CO2 emission and TFP is less known in the available literature. Another significance of this study is that many researchers considered aggregate energy consumption to study this relationship, but the authors have studied the effect of energy consumption, particularly from oil in the top oil-consuming countries, which is a significant shortcoming of the present research. 2023, Emerald Publishing Limited. Creator An entity primarily responsible for making the resource Ansari M.A.; Ahmad M.R.; Kumar P.; Yadav A.K.; Ritu R.K. Source A related resource from which the described resource is derived International Journal of Energy Sector Management, Vol-18, No. 6, pp. 1244-1262. Publisher An entity responsible for making the resource available Emerald Publishing 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/10.1108/IJESM-05-2023-0016" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/IJESM-05-2023-0016</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180513860&doi=10.1108%2FIJESM-05-2023-0016&partnerID=40&md5=d02ab17809c6a98bcd06cfa72154a56a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180513860&doi=10.1108%2fIJESM-05-2023-0016&partnerID=40&md5=d02ab17809c6a98bcd06cfa72154a56a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17506220 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 Ansari M.A., School of Humanities and Social Sciences, GITAM Deemed University, Hyderabad, India; Ahmad M.R., Department of Economics and Finance, University of Hail, Hail, Saudi Arabia; Kumar P., Akal University, Bathinda, India; Yadav A.K., Department of Economics, CHRIST (Deemed to be University), Bangalore, India; Ritu R.K., Punjab School of Economics, Guru Nanak Dev University, Amritsar, 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 Facial Emotion Detection Using Deep Learning: A Survey Subject The topic of the resource Convolutional Neural Network; Deep Learning; Facial Emotion Description An account of the resource The long history of facial expression analysis has influenced current research and public interest. The scientific study and comprehension of emotion are credited to Charles Darwin's 19th-century publication The Representation of the Sentiment in Man and Animals (originally published in 1872). As Recognition of human emotions from images is one of the utmost important and difficult societal connection study assignments. One advantage of using a deep learning strategy is its independence from human intervention while undertaking feature engineering. This approach involves an algorithm that scans the data for features that connect, then combines them to promote quicker learning without being explicitly told to. Deep learning (DL) based emotion detection outperforms traditional image processing methods in terms of performance. In this analytical study, the creation of an artificial intelligence (AI) system that can recognize emotions from facial expressions is presented. It discusses the various techniques for doing so, which generally involve three steps: face uncovering, feature extraction, and sentiment categorization. This study describes the various existing solutions and methodologies used by the researchers to build facial landmark interpretation. The Significance of this survey paper is to analyze the recent works on facial expression detection and distribute better insights to novice researchers for the upgradation in this domain. 2023 IEEE. Creator An entity primarily responsible for making the resource Ansari S.; Kulkarni P.; Rajesh T.; Gurudas V.R. Source A related resource from which the described resource is derived Proceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications 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/InC457730.2023.10262904" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC457730.2023.10262904</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174710503&doi=10.1109%2FInC457730.2023.10262904&partnerID=40&md5=d9fb8a7e674ee5bac618d38eae684ef1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174710503&doi=10.1109%2fInC457730.2023.10262904&partnerID=40&md5=d9fb8a7e674ee5bac618d38eae684ef1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033577-4 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 Ansari S., CHRIST(Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India; Kulkarni P., Dayanand Sagar University, Department of Computer Science and Engineering, Bangalore, India; Rajesh T., Dayanand Sagar University, Department of Computer Science and Engineering, Bangalore, India; Gurudas V.R., CHRIST(Deemed to Be University), Department of Computer Science and Engineering, 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 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 The Association between Accounting determined and market determined measures of risk: Evidences from Indian Pharmaceutical Industry. Subject The topic of the resource Department of Management Description An account of the resource Volume : 3, Issue : 12, pp- 35-44, ISSN: 2249-7307 Creator An entity primarily responsible for making the resource Ansuman Chatterjee Source A related resource from which the described resource is derived <a href="http://www.indianjournals.com/ijor.aspx?target=ijor:ajrbem&volume=3&issue=12&article=003#aff002" target="_blank" title="Click Here" rel="noreferrer noopener">http://www.indianjournals.com/ijor.aspx?target=ijor:ajrbem&volume=3&issue=12&article=003#aff002</a> Publisher An entity responsible for making the resource available Asian Journal of Research in Business Economics and Management Date A point or period of time associated with an event in the lifecycle of the resource 2013 Language A language of the resource English Type The nature or genre of the resource Article 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 Multi-stage fuzzy swarm intelligence for automatic hepatic lesion segmentation from CT scans Subject The topic of the resource CALOFCM; Chaos theory; Computed tomography (CT); Fuzzy C-Means (FCM); Hepatic lesion; Swarm intelligence (SI) Description An account of the resource Segmentation of liver and hepatic lesions using computed tomography (CT) is a critical and challenging task for doctors to accurately identify liver abnormalities and to reduce the risk of liver surgery. This study proposed a novel dynamic approach to improve the fuzzy c-means (FCM) clustering algorithm for automatic localization and segmentation of liver and hepatic lesions from CT scans. More specifically, we developed a powerful optimization approach in terms of accuracy, speed, and optimal convergence based on fast-FCM, chaos theory, and bio-inspired ant lion optimizer (ALO), named (CALOFCM), for automatic liver and hepatic lesion segmentation. We employed ALO to guide the FCM to determine the optimal cluster centroids for segmentation processes. We used chaos theory to improve the performance of ALO in terms of convergence speed and local minima avoidance. In addition, chaos theory-based ALO prevented the FCM from getting stuck in local minima and increased computational performance, thus increasing stability, reducing sensitivity in the iterative process, and allowing the best centroids to be used by FCM. We validated the proposed approach on a group of patients with abdominal liver CT images, and the results showed good detection and segmentation performance compared with other popular techniques. This new hybrid approach allowed for the clinical diagnosis of hepatic lesions earlier and more systematically, thereby helping medical experts in their decision-making. 2020 Elsevier B.V. Creator An entity primarily responsible for making the resource Anter A.M.; Bhattacharyya S.; Zhang Z. Source A related resource from which the described resource is derived Applied Soft Computing Journal, Vol-96 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 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.asoc.2020.106677" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.asoc.2020.106677</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090040754&doi=10.1016%2Fj.asoc.2020.106677&partnerID=40&md5=0b43d754e84d67818adac14ac91c6a33" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090040754&doi=10.1016%2fj.asoc.2020.106677&partnerID=40&md5=0b43d754e84d67818adac14ac91c6a33</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15684946 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 Anter A.M., School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China, Faculty of Computers and Artificial Intelligence, Beni-Suef University, Benisuef, 62511, Egypt; Bhattacharyya S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Zhang Z., School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, 518060, China, Peng Cheng Laboratory, Shenzhen, 518055, China 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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Tracing the impact of social media on social cognition: Bibliometric analysis Description An account of the resource The words "misinformation, " "fake news, " and "post-truth" have filled social media posts. It is a serious social threat, especially post COVID-19. In this chapter, the authors provide bibliometric analysis of research on social media and its impact on social cognition. This can be useful for identifying gaps for future research in the field. Publication data was obtained from the Web of Science database using a search algorithm. A total of 22,935 articles were extracted, and 22,909 eligible articles were included for analysis. Document co-citation analysis revealed that themes on social engagement, fake news, problematic social media use, and healthcare emerged as trends on shaping the social cognition through social media. Further, India achieved 9th position on the list based on citations and 8th on centrality and did not appear on any of the top-10 lists based on Burst value and Sigma. This indicates that neither sudden trend-setting articles nor scientific novelty-based articles have been published in this domain thus far. There is a considerable research gap in India to counter misinformation. 2024, IGI Global. Creator An entity primarily responsible for making the resource Anthony M.; Kumar G.; Ranganathan M.; Karim M.A.; Reddy K.J.; Vijay M. Source A related resource from which the described resource is derived Principles and Clinical Interventions in Social Cognition, pp. 309-324. Publisher An entity responsible for making the resource available IGI Global 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/10.4018/9798369312650.ch018" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/9798369312650.ch018</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190934338&doi=10.4018%2F9798369312650.ch018&partnerID=40&md5=9c767eccf19923c82ea27b8805f53a0a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190934338&doi=10.4018%2f9798369312650.ch018&partnerID=40&md5=9c767eccf19923c82ea27b8805f53a0a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836931266-7; 979-836931265-0 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Anthony M., Christ University, India; Kumar G., Christ University, India; Ranganathan M., Christ University, India; Karim M.A., XIM University, India; Reddy K.J., Christ University, India; Vijay M., Christ University, 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 Real-Time Traffic Sign Detection Under Foggy Condition Subject The topic of the resource Accuracy; Convolution neural network; Machine learning; Traffic sign Description An account of the resource Traffic congestion becomes high in urban areas and using public and private transportation services. The image of traffic signs gets affected by fog, and the detection of traffic signs has become difficult. To solve this issue, the machine learning technique has been used. Convolution neural network helps to solve real-time problems; hence, it can be used in the study for detecting traffic signs under foggy condition. The study results revealed that the model network has accuracy of 99.8%, and the proposed algorithm detects a traffic sign under foggy conditions in 2s per frame. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Anthony R.; Biswas J. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-840, pp. 137-144. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-16-9012-9_12" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9012-9_12</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128641071&doi=10.1007%2F978-981-16-9012-9_12&partnerID=40&md5=9f0cdec375e5fb6fb46acc8ee9e0a73f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128641071&doi=10.1007%2f978-981-16-9012-9_12&partnerID=40&md5=9f0cdec375e5fb6fb46acc8ee9e0a73f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981169011-2 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 Anthony R., Christ (Deemed to be University), Bangalore, India; Biswas J., 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 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 compression system for Unicode files using an enhanced Lzw method Subject The topic of the resource Compression algorithms; Dictionary-based data compression; LZW; Unicode encoding; UTF-8 Description An account of the resource Data compression plays a vital and pivotal role in the process of computing as it helps in space reduction occupied by a file as well as to reduce the time taken to access the file.This work relates to a method for compressing and decompressing a UTF-8 encoded stream of data pertaining to Lempel-Ziv-welch (LZW) method. It is worth to use an exclusive-purpose LZW compression scheme as many applications are utilizing Unicode text. The system of the present work comprises a compression module, configured to compress the Unicode data by creating the dictionary entries in Unicode format. This is accomplished with adaptive characteristic data compression tables built upon the data to be compressed reflecting the characteristics of the most recent input data. The decompression module is configured to decompress the compressed file with the help of unique Unicode character table obtained from the compression module and the encoded output. We can have remarkable gain in compression, wherein the knowledge that we gather from the source is used to explore the decompression process. Universiti Putra Malaysia Press. Creator An entity primarily responsible for making the resource Anto R.T.; Ramachandran R. Source A related resource from which the described resource is derived Pertanika Journal of Science and Technology, Vol-28, No. 4, pp. 1427-1444. Publisher An entity responsible for making the resource available Universiti Putra Malaysia Press Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.47836/pjst.28.4.16" target="_blank" rel="noreferrer noopener">https://doi.org/10.47836/pjst.28.4.16</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094138575&doi=10.47836%2Fpjst.28.4.16&partnerID=40&md5=aa8d359c7109cc7fa61022b3add8630e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094138575&doi=10.47836%2fpjst.28.4.16&partnerID=40&md5=aa8d359c7109cc7fa61022b3add8630e</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 1287680 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 Anto R.T., Department of Computer Science, Prajyoti Niketan College, Pudukad, Thrissur, 680301, Kerala, India; Ramachandran R., Department of Computer Science, CHRIST (Deemed to be University), Hosur Road, Banglore, 560029, India https://archives.christuniversity.in/files/original/47202905ed119b4843cd7613c020ec01.pdf 5515e98f39849639f22d801b436afcee 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 Thesis PhD PhD Thesis 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 Equality versus discretion in imposing death penalty in the criminal justice system a comparative analysis between India UK and USA / Subject The topic of the resource Law Creator An entity primarily responsible for making the resource Anto Sebastian - 1760070 Publisher An entity responsible for making the resource available CHRIST (Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-02 Language A language of the resource English Type The nature or genre of the resource PhD 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 Microbial Decomposition of Feather Waste Subject The topic of the resource Animal feed; Degradation; Enzyme activity; Feather; Keratinases; Poultry Description An account of the resource Keratin is generally found as an ?-keratin helix form in hair, nails, horns and ?-keratin sheet form found in feathers, scales, beaks and claws. ?-keratin contains a domain rich in residues favoring to form ?-sheet structures associated with the filament framework. 'N' and 'C' terminal domains are associated with the matrix and forms cross-linking via disulfide bonds. Several million tons of feather waste are generated by poultry industries each year. Since this waste is rich in protein, it contains excellent potential as a protein source for animal feed and other applications.Bacterial and fungal strains used in microbial degradation of feathers are summarized. Various species from the bacterium genus are involved in keratin degradation including Bacillus, Stenotrophomonas, Pseudomonas, Brevibacillus, Fusarium, Geobacillus, Chryseobacterium, Xanthomonas and Serratia which are some keratin degrading bacteria. Actinomycetes and fungi also contribute to feather degradation by the enzyme activity of keratinases. 2022 World Research Association. All rights reserved. Creator An entity primarily responsible for making the resource Anton D.C.N.; Umesh M. Source A related resource from which the described resource is derived Research Journal of Biotechnology, Vol-17, No. 1, pp. 179-189. Publisher An entity responsible for making the resource available World Research Association 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/10.25303/1701rjbt179189" target="_blank" rel="noreferrer noopener">https://doi.org/10.25303/1701rjbt179189</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124946463&doi=10.25303%2F1701rjbt179189&partnerID=40&md5=f776582e323bcf42b87fd1e3f3c1a066" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124946463&doi=10.25303%2f1701rjbt179189&partnerID=40&md5=f776582e323bcf42b87fd1e3f3c1a066</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9736263 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 Anton D.C.N., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, 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 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 C-cordial labeling of line signed graphs-I Description An account of the resource Let S=(G, ?) be a signed graph. S admits C-cordial labeling if the difference between the number of negative and positive edges (vertices) differ by at most one under canonical marking of S. In this paper, we characterize signed paths and cycles having given number of negative sections where the line signed graphs admit C-cordial labeling. 2020 Author(s). Creator An entity primarily responsible for making the resource Antoney D.; Mangam T.A.; Acharya M. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-2261 Publisher An entity responsible for making the resource available American Institute of Physics Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1063/5.0016908" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0016908</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095600596&doi=10.1063%2F5.0016908&partnerID=40&md5=82214a3efe892230e2da7f8d57a75d2e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095600596&doi=10.1063%2f5.0016908&partnerID=40&md5=82214a3efe892230e2da7f8d57a75d2e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0094243X; ISBN: 978-073542021-2 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 Antoney D., Department of Mathematics, CHRIST, Deemed to Be University, India; Mangam T.A., Department of Mathematics, CHRIST, Deemed to Be University, India; Acharya M., Department of Mathematics, CHRIST, Deemed to Be University, 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 Epileptic seizure detection using EEG signals and multilayer perceptron learning algorithm Subject The topic of the resource Electroencephalogram; Epileptic Seizure; Feature extraction; Multi-LayerPerceptron Learning Algorithm; Support Vector Machine; Wavelet Description An account of the resource Purpose: Epileptic is a neurological chronic disorder that causes unprovoked, recurrent seizure. A seizure is a sudden rush of electrical activity in the brain. The central nervous system characterized by the loss of consciousness and convulsions. Epileptic is caused by abnormal electrical discharge that lead to uncountable movements, loss of consciousness and convulsions. 50-80 million people in the world are affected by this disorder. Now a days children and adults are affected the most and it has been medically treated. Sometimes it may lead to death and serious injuries. In this technology world the computerized detection is an enhanced solution to protect epileptic patients from dangers at the time of this seizure. Method: Perceptron learning algorithm is a supervised learning of binary classifiers and also it is a simple prototype of a biological neuron in artificial neural network. EEG is extensively documented for the diagnosing and assessing brain activates and related disorders. In this paper EEG signals are taken as dataset for epilepsy detection. The data is been represented based on three domains namely frequency, time and time-frequency applied by the chebysev filter for processing the signals. Result: Help the patients from dangers at the time of the seizure. Conclusion: The neurological diseases can be divided into two loss of consciousness and convulsions. In this technology world the seizure can be detected by computerized way like EEG and so on. This paper proposes an epileptic seizure detection using EEG (Electroencephalogram) and perceptron learning algorithm. 2020, IJSTR. Creator An entity primarily responsible for making the resource Antoney F.; Ramamurthy B. Source A related resource from which the described resource is derived International Journal of Scientific and Technology Research, Vol-9, No. 3, pp. 494-497. Publisher An entity responsible for making the resource available International Journal of Scientific and Technology Research Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082532848&partnerID=40&md5=9e694ada5a62a144112e83a3cd372f17" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082532848&partnerID=40&md5=9e694ada5a62a144112e83a3cd372f17</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22778616 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 Antoney F., Christ(Deemed to be University), India; Ramamurthy B., Christ(Deemed to be University), 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 Unveiling the Landscape: A Comparative Study of U-Net Models for Geographical Features Segmentation Subject The topic of the resource Deep learning; Geographical features segmentation; Remote sensing; U-Net model; UNet++; UNetFormer Description An account of the resource Geographical features segmentation is a critical task in remote sensing and earth observation applications, enabling the extraction of valuable information from satellite imagery and aiding in environmental analysis, urban planning, and disaster management. The U-Net model, a deep learning architecture, has proven its efficacy in image segmentation tasks, including geographical feature analysis. In this research paper, a comparative study of various U-Net models customized explicitly for geographical features segmentation is presented. The study aimed to evaluate the performance of these U-Net variants under diverse geographical contexts and datasets. Their strengths and limitations were assessed, considering factors such as accuracy, robustness, and generalization capabilities. The efficacy of integrated components, such as skip connections, attention mechanisms, and multi-scale features, in enhancing the models performance was analyzed. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Antony A.; Kumar R.G. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-922 LNNS, pp. 325-333. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH 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/10.1007/978-981-97-0975-5_29" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-0975-5_29</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197295165&doi=10.1007%2F978-981-97-0975-5_29&partnerID=40&md5=82e17dd45d2e9908a2d84f34acc3c105" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197295165&doi=10.1007%2f978-981-97-0975-5_29&partnerID=40&md5=82e17dd45d2e9908a2d84f34acc3c105</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981970974-8 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 Antony A., Department of Computer Science and Engineering, CHRIST (Deemed to be University), School of Engineering and Technology Kengeri Campus, Bangalore, 560074, India; Kumar R.G., Department of Computer Science and Engineering, CHRIST (Deemed to be University), School of Engineering and Technology Kengeri Campus, Bangalore, 560074, 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 Heavy metal stress influence the andrographolide content, phytochemicals and antioxidant activity of Andrographis paniculata Subject The topic of the resource Andrographis paniculata; Andrographolide; Cobalt; Copper; Tin; Total flavonoids content; Total phenolic content Description An account of the resource Heavy metals (HM) are toxic components present in the earth's crust that can have a negative impact on plants as well as animals. Andrographis paniculata or 'King of bitters' belonging to the family Acanthaceae, is a medicinal herb traditionally used in the treatment of fever, common cold etc. In the present study, the effect of heavy metals (copper, tin and cobalt) on the andrographolide content, biochemical parameters like chlorophyll, carotenoid, protein, Total phenolic content (TPC), Total flavonoid content (TFC) and antioxidant activity in A. paniculata were analysed. Saplings of A. paniculata were treated at 50 and 100 mM concentrations, three different times at a time interval of 7 days. Andrographolide production was found to increase in copper and cobalt treated saplings when compared with the control. From the results, maximum andrographolide concentration was found in the saplings treated with 50 mM copper (8.51 mg/gm of DW) and 50 mM tin (8.10 mg/gm of DW) respectively. 50 mM cobalt treated plants have shown the highest concentration of TPC (17.21 mg/g of extract) and TFC (6.97 mg/gm of extract). Notable variations in other biochemical parameters like total chlorophyll, carotenoid content and antioxidant activities were observed in all treatments compared with the control. Antony & Nagella (2021). This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited (https://creativecommons.org/licenses/by/4.0/). Creator An entity primarily responsible for making the resource Antony A.; Nagella P. Source A related resource from which the described resource is derived Plant Science Today, Vol-8, No. 2, pp. 324-330. Publisher An entity responsible for making the resource available Horizon e-Publishing Group 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/10.14719/pst.2021.8.2.1034" target="_blank" rel="noreferrer noopener">https://doi.org/10.14719/pst.2021.8.2.1034</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117237700&doi=10.14719%2Fpst.2021.8.2.1034&partnerID=40&md5=e9a8126893f6e00a159baa8b18150f52" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117237700&doi=10.14719%2fpst.2021.8.2.1034&partnerID=40&md5=e9a8126893f6e00a159baa8b18150f52</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23481900 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 Antony A., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 560 029, India; Nagella P., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 560 029, 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 Effect of heavy metals on the andrographolide content, phytochemicals and antioxidant activity of Andrographis paniculata Subject The topic of the resource Andrographis paniculata; Andrographolide; Antioxidants; Heavy metal stress; Total flavonoid; Total phenolic Description An account of the resource Andrographis paniculata is a medicinal plant that has several medicinal properties and has been traditionally used in different medicinal preparations. The present study deals with the influence of heavy metals (lead, mercury and silver) on andrographolide, phytochemicals and antioxidant activity in Andrographis paniculata. Two months old saplings were subjected to heavy metal stress of two different concentrations (0.2 mM and 0.4 mM) for three different times at 3 day time interval. The results showed that the saplings treated with heavy metals showed increased concentration of andrographolide content. The saplings treated with 0.4 mM silver showed the highest increase in the andrographolide content (24.58 2.85 mg/g of DW) compared with control (9.41 1.26 mg/g of DW) and other treatments. Variations in the biochemical parameters like total phenolic content, total flavonoid content, etc. were also prominent with all the treated samples when compared to that of control. 2020 Chemical Publishing Co.. All rights reserved. Creator An entity primarily responsible for making the resource Antony A.; Nagella P. Source A related resource from which the described resource is derived Asian Journal of Chemistry, Vol-32, No. 11, pp. 2748-2752. Publisher An entity responsible for making the resource available Asian Publication Corporation Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.14233/ajchem.2020.22831" target="_blank" rel="noreferrer noopener">https://doi.org/10.14233/ajchem.2020.22831</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096342026&doi=10.14233%2Fajchem.2020.22831&partnerID=40&md5=8cda2d61175521c92dbb7ada3c994ae6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096342026&doi=10.14233%2fajchem.2020.22831&partnerID=40&md5=8cda2d61175521c92dbb7ada3c994ae6</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 9707077; CODEN: AJCHE 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 Antony A., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; Nagella P., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, 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 Enhancing food crop classification in agriculture through dipper throat optimization and deep learning with remote sensing Subject The topic of the resource Deep learning; Dipper throat optimization; Food crop classification; Hyper-spectral Image; Hyperparameter tuning; Remote sensing image Description An account of the resource Remote sensing images (RSIs), a keystone of modern agricultural technology, refer to spectral or visual data captured from drones, satellites, or aircraft without direct physical contact with the Earth's surface. These images provide a wide-ranging view of agricultural landscapes, providing valuable insights into land use, crop health, and environmental conditions. Agricultural food crop classification, a vital application within precision agriculture, includes the detection and classification of different crops cultivated in a certain region. Traditionally reliant on manual techniques, the development of technologies, particularly the incorporation of RSIs, has revolutionized this process. Agricultural food crop classification has become more sophisticated and automated by harnessing the wealth of data received from RS, which facilitates precise management and monitoring of crops on a large scale. Deep learning (DL), a branch of artificial intelligence, plays a more effective role in these synergies. The incorporation of DL into the RSI analysis enables high-precision and efficient detection of various crop types, assisting more informed decision-making in agriculture. This study proposes a new Dipper Throat Optimization Algorithm with Deep Learning based Food Crop Classification (DTOADL-FCC) algorithm using Remote Sensing Imaging for Agricultural Resource Management. The DTOADL-FCC method aims to apply DL algorithms for the classification of different crop types. In the DTOADL-FCC method, fully convolutional network (FCN) based segmentation process is performed. Next, the DTOADL-FCC method exploits the SE-ResNet model for learning intrinsic and complex features. The DTOADL-FCC method makes use of DTOA for the hyperparameter tuning process. Lastly, the classification of crop types takes place using the extreme learning machine (ELM) model. The study utilizes mathematical formulations including activation functions, loss functions, fitness calculations, and iterative update processes. A brief set of simulations showcases that the DTOADL-FCC method achieves remarkable performance over other techniques with much improved results. 2024 The Author(s) Creator An entity primarily responsible for making the resource Antony A.; R G.K. Source A related resource from which the described resource is derived e-Prime - Advances in Electrical Engineering, Electronics and Energy, Vol-9 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.prime.2024.100732" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.prime.2024.100732</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201486291&doi=10.1016%2Fj.prime.2024.100732&partnerID=40&md5=4c00ffdb81e715b66a7a3acaf633407e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201486291&doi=10.1016%2fj.prime.2024.100732&partnerID=40&md5=4c00ffdb81e715b66a7a3acaf633407e</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 27726711 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 Antony A., Department of Computer Science & Engineering, CHRIST (Deemed to be University), School of Engineering and Technology Kengeri Campus, Bangalore, 560074, India; R G.K., Department of Computer Science & Engineering, CHRIST (Deemed to be University), School of Engineering and Technology Kengeri Campus, Bangalore, 560074, 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 Paired Domination Integrity of Graphs Subject The topic of the resource domination integrity; Integrity; paired dominating set; paired domination integrity Description An account of the resource The concept of vulnerability in a communication network plays an important role when there is a disruption in the network. There exist several graph parameters that measure the vulnerability of a communication network. Domination integrity is one of the vulnerability parameters that measure the performance of a communication network. In this paper, we introduce the concept of paired domination integrity of a graph as a new measure of graph vulnerability. Let G = (V,E) be a simple, connected graph. A set of vertices in a graph G, say S, is a paired dominating set if the following two conditions are satisfied: (i) every vertex of G has a neighbor in S and (ii) the subgraph induced by S contains a perfect matching. The paired domination integrity of G, denoted by PDI(G), is defined as PDI(G) = min{|S| + m(G - S): S is a paired dominating set of G}, where m(G - S) is the order of the largest component in the induced subgraph of G - S. In this paper, we determine few bounds relating paired domination integrity with other graph parameters and the paired domination integrity of some classes of graphs. 2024 World Scientific Publishing Company. Creator An entity primarily responsible for making the resource Antony A.C.; Sangeetha V. Source A related resource from which the described resource is derived International Journal of Foundations of Computer Science Publisher An entity responsible for making the resource available World Scientific 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/10.1142/S0129054124500126" target="_blank" rel="noreferrer noopener">https://doi.org/10.1142/S0129054124500126</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197660125&doi=10.1142%2FS0129054124500126&partnerID=40&md5=bdd59b61bc89472fe23fae48d601af6f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197660125&doi=10.1142%2fS0129054124500126&partnerID=40&md5=bdd59b61bc89472fe23fae48d601af6f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1290541 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 Antony A.C., Department of Mathematics, Christ (Deemed to Be University), Bangalore, Karnataka, 560029, India; Sangeetha V., Department of Mathematics, Christ (Deemed to Be University), Bangalore, Karnataka, 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 Lung tuberculosis detection using x-ray images Subject The topic of the resource Canny edge detection; Graylevel threshold; Median filtering; Tuberculosis; Watershed segmentation; X-Ray Description An account of the resource This research work is based on the various experiments performed for the detection of lung tuberculosis using various methods like filtering, segmentation, feature extraction and classification. The results obtained from these experiments are discussed in this paper. Lung tuberculosis is a bacterial infection that causes more deaths in the world than any other infectious disease. Two billion people are infected with tuberculosis all around the world. Lung tuberculosis is a disease caused by a bacteria known as Mycobacterium tuberculosis or Tubercle bacillus. This research work strives to identify methods by which patients, who require second opinion for an already identified result, can save a lot of money. Once we receive X-ray image an input, pre-processing methods like Gaussian filter, median filter is applied. These filters help to remove unwanted noise and aid to get fine textural features. The output obtained from this is taken as an input and applied to water shed segmentation and gray level segmentation which helps to focus on the lung area of the obtained results. Output from these segmentation methods is fused to get a Region of Interest (ROI). From the ROI, the statistical features like area, major axis, minor axis, eccentricity, mean, kurtosis, skewness and entropy are extracted. Finally, we use KNN, Sequential minimal optimization (SMO), simple linear regression classification methods to detect lung tuberculosis. The results obtained in this paper suggests KNN classifier performs well than the other two classifiers. Research India Publications. Creator An entity primarily responsible for making the resource Antony B.; Nizar Banu P.K. Source A related resource from which the described resource is derived International Journal of Applied Engineering Research, Vol-12, No. 24, pp. 15196-15201. Publisher An entity responsible for making the resource available Research India Publications Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057640992&partnerID=40&md5=409910db5874ad45fde5fea8099644d6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057640992&partnerID=40&md5=409910db5874ad45fde5fea8099644d6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9734562 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 Antony B., Department of Computer Science, Christ deemed to be University, Hosur Road, Bhavani Nagar, Bengaluru, 560029, Karnataka, India; Nizar Banu P.K., Department of Computer Science, Christ deemed to be University, Hosur Road, Bhavani Nagar, Bengaluru, 560029, Karnataka, 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 Classification and analysis of Alzheimer's Disease using Deep Learning methods on MRI and PET Subject The topic of the resource Alzheimer's Disease; Convolutional Neural Networks; Deep Learning; MRI; PET; ResNet50 Description An account of the resource Alzheimer's disease (AD) falls in the category of neurodegenerative illness in which an individual loses his or her power to remember things and behaviors. It affects memory in younger patients and as it progresses causes diffuse cortical functions. However, a major issue with the diagnosis and treatment of AD symptoms is that it has complex pathogenesis because of which there is no clinical intervention for its treatment. There is no disease-modifying treatment to cure AD symptoms that increases co-morbidities among the patients. The present research identified this gap and focuses on using Deep Learning methods on MRI and PET data so that there is early diagnosis of AD by healthcare experts and they could propose a better treatment process for reducing AD symptoms. The present research identified that by using deep learning-based approaches particularly ResNet50 architecture, there is the execution of quantitative assessment of brain MRI and PET to acquire insights about the internal abnormalities through self-learning features. It will help in initiating proper treatment and avoiding damage to the brain further. 2022 IEEE. Creator An entity primarily responsible for making the resource Antony F.; Anita H B. Source A related resource from which the described resource is derived 2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies, IMPACT 2022 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IMPACT55510.2022.10029052" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IMPACT55510.2022.10029052</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148039392&doi=10.1109%2FIMPACT55510.2022.10029052&partnerID=40&md5=661b8994ee4574dae41837aa6a6f1590" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148039392&doi=10.1109%2fIMPACT55510.2022.10029052&partnerID=40&md5=661b8994ee4574dae41837aa6a6f1590</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547647-8 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 Antony F., Deemed to Be University, Department of Computer Science Christ, Bangalore, India; Anita H B., Deemed to Be University, Department of Computer Science Christ, 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 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 automated method for the detection of strangers at home using parrot sound Subject The topic of the resource Crest Factor; Dynamic Ratio; Fourier transform; NavieBayes; Sound Analysis. Description An account of the resource The sound produced by parrots is used to gather information about their behavior. The study of sound variation is important to obtain indirect information about the characteristics of birds. This paper is the first of a series in analyzing bird sounds, and establishing the adequate relation of bird's sound. The paper proposes a probabilistic method for audio feature classification in a short interval of time. It proposes an application of digital sound processing to check whether the parrots behave strangely when a stranger comes. The sound is classified into different classes and the emotions of the birds are analyzed. The time frequency of the signal is checked using spectrogram. It helps to analyze the parrot vocalization. The mechanical origin of the sound and the modulation are deduced from spectrogram. The spectrogram is also used to check the amplitude and frequency modulation of sound and the frequency of the sound are detected and analyzed. This research and its findings will help the bird lovers to know the bird behavior and plan according to that. The greater understanding of birds will help the bird lovers to feed and care for birds. BEIESP. Creator An entity primarily responsible for making the resource Antony F.; Anita H.B. Source A related resource from which the described resource is derived International Journal of Recent Technology and Engineering, Vol-7, No. 6, pp. 911-915. Publisher An entity responsible for making the resource available Blue Eyes Intelligence Engineering and Sciences Publication Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067039676&partnerID=40&md5=6c8f4d3378b8b2a9dd5e95d0caed8957" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067039676&partnerID=40&md5=6c8f4d3378b8b2a9dd5e95d0caed8957</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22773878 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 Antony F., CHRIST (Deemed to be University), India; Anita H.B., Department of Computer Science at CHRIST (Deemed to be University), India