318 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 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-class SVM based network intrusion detection with attribute selection using infinite feature selection technique Subject The topic of the resource 15A06; 15A09; 17B10; 17B15; 18A10; 18C05; 18C10; 18D35; Anomaly detection; Infinity feature selection; Intrusion detection system; Machine learning; Multiclass support vector machine; Support vector machine Description An account of the resource An intrusion detection mechanism is a software program or a device that monitors the network and provides information about any suspicious activity. This paper proposes a multi-class support vector machine (SVM) based network intrusion detection using an infinite feature selection technique for identifying suspicious activity. Single and multiple classifiers generally have high complexity. To overcome all the limitations of single and multiple classifiers, we used a multi-class classifier using an infinite feature selection technique, which performed well with multiple classes and gave better results than other classifiers in terms of accuracy, precision, recall, and f_score. Infinite feature selection is a graph-based filtering approach that analyses subsets of features as routes in a graph. We used a standard dataset, namely the UNSW_NB15 data set generated by the IXIA perfect-storm tool in the Australian Centre for Cyber Security. This dataset has a total of nine types of attacks and 49 features. The comparative analysis of the manuscript work is done against eight different techniques, namely, hybrid intrusion detection system (HIDS), C5, one-class support vector machine, and others. The proposed work gave better simulation results using the 2015a Matlab simulator. 2021 Taru Publications. Creator An entity primarily responsible for making the resource Kaushik R.; Singh V.; Kumari R. Source A related resource from which the described resource is derived Journal of Discrete Mathematical Sciences and Cryptography, Vol-24, No. 8, pp. 2137-2153. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/09720529.2021.2009189" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/09720529.2021.2009189</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121849325&doi=10.1080%2F09720529.2021.2009189&partnerID=40&md5=afc29c113f3a505b7496bd8acbb49e57" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121849325&doi=10.1080%2f09720529.2021.2009189&partnerID=40&md5=afc29c113f3a505b7496bd8acbb49e57</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9720529 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 Kaushik R., Amity Institute of Information Technology, Amity University Rajasthan, Rajasthan, Jaipur, 303002, India; Singh V., Department of Computer Science Engineering, Manipal University Jaipur, Rajasthan, Jaipur, 302002, India; Kumari R., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, 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 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 Artificial intelligence: A new model for online proctoring in education Subject The topic of the resource Artificial intelligence; Natural language processing; Natural language toolkit; Online systems Description An account of the resource As a result of technological advancements, society is becoming increasingly computerized. Massive open online courses and other forms of remote instruction continue to grow in popularity and reach. COVID-19's global impact has boosted the demand for similar courses by a factor of ten. The ability to successfully assign distant online examinations is a crucial limiting factor in this next stage of education's adaptability. Human proctoring is now the most frequent method of evaluation, which involves either forcing test takers to visit an examination centre or watching them visually and audibly throughout tests via a webcam. However, such approaches are time-consuming and expensive. In this paper, we provide a multimedia solution for semi-automated proctoring that does not require any extra gear other than the student's computer's webcam and microphone. The system continuously monitors and analyses the user based on gaze detection, lip movement, the number of individuals in the room, and mobile phone detection, and captures audio in real time through the microphone and transforms it to text for assessment using speech recognition. Access the words gathered by speech recognition and match them for keywords with the questions being asked for higher accuracy using Natural Language Processing. If any inconsistencies are discovered, they are reported to the proctor, who can investigate and take appropriate action. Extensive experimental findings illustrate the correctness, resilience, and efficiency of our online exam proctoring system, as well as how it allows a single proctor to simultaneously monitor several test takers. 2023 Author(s). Creator An entity primarily responsible for making the resource Kaushik R.; Singh V.; Kumari R. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-2723, No. 1 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1063/5.0139038" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0139038</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176725673&doi=10.1063%2F5.0139038&partnerID=40&md5=f78f26950e92c5938145483bc61b6878" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176725673&doi=10.1063%2f5.0139038&partnerID=40&md5=f78f26950e92c5938145483bc61b6878</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0094243X 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 Kaushik R., Department of Computer Science, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Singh V., Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India, Norwegian University of Science and Technology, esund, Norway; Kumari R., ICFAI Business School (IBS), Bangalore, Off-Campus Center, ICFAI Foundation for Higher Education (IFHE) 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 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 Cryptographic key distribution using artificial intelligence for data security and location privacy in VANET Subject The topic of the resource 68T05; Location privacy; RF strength; Service location; VANET Description An account of the resource Location privacy & data security in VANET are now becoming most important in todays paradigm of information age. Unauthorized access to location information of vehicles may pose a significant security threat, thus it is necessary to secure this information from intruders. In proposed work, Artificial intelligence based RF range approximation is used with multi key controlled cryptography for enhancement of location privacy and data security in service location protocol of VANETS. 2022 Taru Publications. Creator An entity primarily responsible for making the resource Kaushik S.; Poonia R.C.; Khatri S.K. Source A related resource from which the described resource is derived Journal of Discrete Mathematical Sciences and Cryptography, Vol-25, No. 7, pp. 2195-2203. 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/10.1080/09720529.2022.2133256" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/09720529.2022.2133256</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143550102&doi=10.1080%2F09720529.2022.2133256&partnerID=40&md5=343d42346841fb48898aa20aa54496a0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143550102&doi=10.1080%2f09720529.2022.2133256&partnerID=40&md5=343d42346841fb48898aa20aa54496a0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9720529 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 Kaushik S., Amity Institute of Information Technology (AIIT), Amity University Rajasthan, Rajasthan, Jaipur, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Khatri S.K., Amity University Uttar Pradesh, Uttar Pradesh, Noida, 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 Transmit Range Adjustment Using Artificial Intelligence for Enhancement of Location Privacy and Data Security in Service Location Protocol of VANET Description An account of the resource IoT or the internet of things is the talk of the town topic being researched in the field of information technology for more than decade. It is being in deployment stage in various developing economics, to enable driverless automobiles in the field of VANET. It helps in preventing crashes and provides urgent medical assistance in emergency case. Data security and location privacy are becoming of most importance in present IT scenario. Unauthorized access to location information of vehicles may pose a significant security threat. So, it is necessary to secure the location information of the vehicle. The proposed work aims at enhancement of location privacy data security in service location protocol of VANET'S. The primary techniques to be employed include artificial intelligence-based RF range approximation for transmission range adjustment and receive RF strength based distance estimation for trusted node location perimeters approximation, dynamic adjustment of silence period of OBU (on based unit) in conjunction with radio/RF interrupt. The unauthorized access to location information of vehicles and need of its privacy is the motivation for this work. 2022 Shivkant Kaushik et al. Creator An entity primarily responsible for making the resource Kaushik S.; Poonia R.C.; Khatri S.K.; Samanta D.; Chakraborty P. Source A related resource from which the described resource is derived Wireless Communications and Mobile Computing, Vol-2022 Publisher An entity responsible for making the resource available Hindawi Limited 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/10.1155/2022/9642774" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2022/9642774</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138883847&doi=10.1155%2F2022%2F9642774&partnerID=40&md5=57a73daa639fa9fa3bd953a48e3c20dc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138883847&doi=10.1155%2f2022%2f9642774&partnerID=40&md5=57a73daa639fa9fa3bd953a48e3c20dc</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 15308669 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 Kaushik S., Amity Institute of Information Technology (AIIT), Amity University Jaipur, Rajasth, An-303002, India; Poonia R.C., Department of Computer Science, Christ University Bengaluru, Karnataka, 560029, India; Khatri S.K., Amity University Tashkent, Uzbekistan; Samanta D., RIT Kosovo (A.U.K), Rochester Institute of Technology - RIT Global, Dr. Shpetim Rrobaj, Germia Campus Prishtina, 10000, Serbia; Chakraborty P., Department of Computer Science and Engineering, Comilla University, Cumilla, 3506, Bangladesh 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 Kaushik, Arakya; Mittal, Anu; Saeed, Abdulkafi Mohammed; Khan, Mohiuddin Ali; Chaudhary, Anjali; Kumar, Deepak Title A name given to the resource Dynamic stress concentrations in piezoelectric materials with semi-elliptical surface notches under shear horizontal waves 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 Acta Mechanica;Volume;236;Issue;9;pp.4993-5007 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s00707-025-04421-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s00707-025-04421-7</a> <a href="https://www.scopus.com/pages/publications/105009552352?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009552352?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 Kaushik A., Christ University, Bengaluru, 560029, India; Mittal A., Department of Mechanical Engineering, Thapar Institute of Engineering and Technology, Patiala, India; Saeed A.M., Department of Mathematics, College of Science, Qassim University, Buraydah, 51452, Saudi Arabia; Khan M.A., Department of Electrical and Electronics Engineering, Jazan University, KSA, Jazan, Saudi Arabia; Chaudhary A., Department of Management, College of Business Administration, Princess Nourah Bint Abdulrahman University, P.O.Box 84428, Riyadh, 11671, Saudi Arabia; Kumar D., Christ University, Bengaluru, 560029, India Description An account of the resource Dynamic loading causes high stress concentrations at surface notches, which are further aggravated by piezoelectric effects. This research presents a novel semi-analytical technique for studying dynamic stress concentrations in semi-elliptical surface notches in piezoelectric materials subjected to shear horizontal (SH) wave incidence. The mirror technique is employed to apply traction-free and electrically insulating boundary conditions, converting the half-space problem into its analogous full-space form. Mathieu functions and elliptical coordinate system are adopted to model the geometry of the semi-elliptical notch accurately. By separating the governing equations, the potential function is obtained, and boundary conditions are applied to construct an infinite set of linear algebraic equations. To ensure reliability of the solution, a truncation scheme based on Mathieu function convergence behavior is proposed before solving the system. Numerical simulations are performed with a thorough parametric study to reveal the effects of important parameters like the incidence angle of waves, wave frequency, notch depth, and piezoelectric material characteristics on the behavior of scattered wave fields and dynamic stress concentrations. The presented model enjoys wide geometric applicability, provides necessary theoretical guidelines for the design of piezoelectric elements and serves as a baseline for the validation of computational approximations. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2025. Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 15970; CODEN: AMHCA 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 PHD 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/. Relation A related resource 61000311 Title A name given to the resource Respiratory Motion Prediction of Lung Tumor Using Artificial Intelligence Subject The topic of the resource Computer Science Description An account of the resource Managing respiratory motion in radiotherapy for lung cancer presents a formidable and newlinepersistent challenge. The inherent dynamic movement triggered by respiration introduces a notable degree of uncertainty in target delineation, impacting the precision of image-guided radiotherapy. Overlooking the impact of respiratory motion can lead to the emergence of artifacts in images during image acquisition, resulting in inaccuracies in tissue delineation. Moreover, the motion between treatment fractions can induce blurriness in the dose distribution within the treatment process, thereby introducing geometric and dosimetric uncertainties. Additionally, inter-fraction motion can result in the displacement of the distribution of administered doses. Given these complexities, the precise prediction of tumor motion holds the utmost importance in newlineelevating the quality of treatment administration and minimizing radiation exposure to healthy tissues neighboring the pertinent organ during radiotherapy. Nonetheless, achieving the desired level of precision in dose administration remains a formidable task due to the inherent variations in internal patient anatomy across varying time scales and magnitudes. While notable advancements have been witnessed in radiotherapy, attributed to innovations like image guidance tools, which have streamlined treatments, the challenge of accommodating lung tumor motion remains critical, particularly in cases related to newlineradiotherapeutic intervention. Substantial limitations endure despite integrating respiratory-gated techniques in radiation oncology to manage lung tumor motion. Moreover, lung cancer prognosis remains low, irrespective of the recent advancements in radiotherapy. The practice of expanding newlinetreatment margins from the Clinical Treatment Volume (CTV) to encompass the Planning newlineTreatment Volume (PTV) has been adopted as a strategy to amplify treatment outcomes. newlineHowever, this strategy necessitates a trade-off, as it inevitably exposes larger volumes of healthy tissues to radiation. Creator An entity primarily responsible for making the resource Kaushik, Pratim Das Source A related resource from which the described resource is derived Author's Submission 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 2024-01-01 Contributor An entity responsible for making contributions to the resource J,Chandra. Rights Information about rights held in and over the resource Open Access Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource PhD Identifier An unambiguous reference to the resource within a given context <a href="http://hdl.handle.net/10603/560835" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/560835</a> 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 Kaushik, Ruchi; Pradeep, S.; Shanbhog, Manjula; Tamizhselvi, A.; Jagdale, Jayashree; Mahajan, Rashima Title A name given to the resource A novel deep learning based multimedia video retrieval framework using may fly optimization 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 International Journal of Information Technology (Singapore); Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-025-02587-w" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-025-02587-w</a> <a href="https://www.scopus.com/pages/publications/105007443959?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105007443959?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 Kaushik R., Xavier Institute of Management and Entrepreneurship, Bengaluru, India; Pradeep S., Department of CSE, Malla Reddy Engineering College for Women, Maisammaguda, Kompally, Telangana, Secunderabad, India; Shanbhog M., School of Science, Christ University, Bengaluru, India; Tamizhselvi A., IT, St. Josephs College of Engineering, Chennai, India; Jagdale J., Information Technology, Pune Institute of Computer Technology, Pune, India; Mahajan R., Manav Rachna International Institute of Research and Studies, Faridabad, India Description An account of the resource Developing a video retrieval framework in multimedia management is a main challenge due to the massive growth of video content on the internet. A major drawback of video retrieval is its long search response time and low accuracy. To tackle these issues, this paper introduces a novel deep learning-based Multimedia video retrieval system (DL-MVR) to minimize the search response time with high accuracy. The collected video is initially converted into key frames and pre-processed with contrast adaptive histogram equalization to remove noise artifacts thereby improving image quality. After pre-processing, the images are fed to Efficient Net to extract patch features. Finally, to retrieve the similar video, matching is done using may fly optimization (MFO), that compares the query frame features to the video database. Several performance metrics are analysed to measure the effectiveness of the proposed strategy in terms of accuracy and response time. Experimental results indicate that the proposed system has a search response time of 0.71s, which is lower than existing methods. The proposed DL-MVR method achieves 99.26% of accuracy. The proposed method improves the overall accuracy by 9.32%, 22.04%, and 19.40% which is better than CNN-AlexNet (convolutional neural network), Pyramid regional graph network and CBVR respectively. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025. Subject The topic of the resource Efficient net; Histogram equalization; May fly optimization (MFO); Multimedia; Video retrieval Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25112104; 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 https://archives.christuniversity.in/files/original/bc11ffb534f901ff1736e55a3f6eb0ca.pdf 5dedd2530b7e2141ce31e57a1659d2f1 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 MASTERS Masters' Dissertation Masters Dissertation 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 Analysis of native advertising on buzzfeed and its impact on the brand image of 7 companies / Creator An entity primarily responsible for making the resource Kaushik, Sanya. - 1424045 Date A point or period of time associated with an event in the lifecycle of the resource 2016-02-01 Source A related resource from which the described resource is derived Master of Arts in Media and Communication Studies Subject The topic of the resource Media Studies Description An account of the resource In today's world, the social web space has become a competitive platform for companies engaged in a plethora of activities to promote and sell their products and, more importantly, create a brand image. In tandem with the rapid development that has been observed in social media, the advertising industry has also evolved to accommodate the needs of the internet. Native advertising has emerged as a viable and lucrative alternative for companies to communicate with their audiences. Publisher An entity responsible for making the resource available CHRIST (Deemed To Be University) Contributor An entity responsible for making contributions to the resource Department of Media Studies Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Masters Dissertation 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 Green Synthesized ZnO Nanoparticles as Biodiesel Blends and their Effect on the Performance and Emission of Greenhouse Gases Subject The topic of the resource biodiesel; cow dung; green synthesis; greenhouse gases; ZnO nanoparticles Description An account of the resource Pollution and global warming are a few of the many reasons for environmental problems, due to industrial wastes and greenhouse gases, hence there are efforts to bring down such emissions to reduce pollution and combat global warming. In the present study, zinc oxide nanoparticles are green synthesized using cow dung as fuel, through combustion. Synthesized material was characterized by FTIR, XRD, UV, and FESEM. The as-prepared ZnO-GS NPs were employed as a transesterification catalyst for the preparation of biodiesel from discarded cooking oil. The biodiesel obtained is termed D-COME (discarded cooking oil methyl ester), which is blended with 20% commercial diesel (B20). Additionally, this blend, i.e., B20, is further blended with varying amounts of as-prepared ZnO-GS NPs, in order to ascertain its effects on the quality of emissions of various greenhouse gases such as hydrocarbons, COx, NOx. Moreover, the brake thermal efficiency (BTHE) and brake specific fuel consumption (BSFC) were studied for their blends. The blend (B20) with 30 mg of ZnO-GS, i.e., B20-30, displays the best performance and reduced emissions. Comparative studies revealed that the ZnO-GS NPs are as efficient as the ZnO-C NPs, indicating that the green synthetic approach employed does not affect the efficiency of the ZnO NPs. 2022 by the authors. Licensee MDPI, Basel, Switzerland. Creator An entity primarily responsible for making the resource Kavalli K.; Hebbar G.S.; Shubha J.P.; Adil S.F.; Khan M.; Hatshan M.R.; Almutairi A.M.; Shaik B. Source A related resource from which the described resource is derived Molecules, Vol-27, No. 9 Publisher An entity responsible for making the resource available MDPI 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/10.3390/molecules27092845" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/molecules27092845</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129792125&doi=10.3390%2Fmolecules27092845&partnerID=40&md5=03ed5c843c77479e9af1b158c8a8e582" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129792125&doi=10.3390%2fmolecules27092845&partnerID=40&md5=03ed5c843c77479e9af1b158c8a8e582</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: 14203049; PubMed ID: 35566189; CODEN: MOLEF 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 Kavalli K., Department of Mechanical & Automobile Engineering, Christ University, Bangalore, 560029, India; Hebbar G.S., Department of Mechanical & Automobile Engineering, Christ University, Bangalore, 560029, India; Shubha J.P., Department of Chemistry, Don Bosco Institute of Technology, Mysore Road, Bangalore, 560074, India; Adil S.F., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Khan M., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Hatshan M.R., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Almutairi A.M., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Shaik B., Department of Advanced Materials Engineering for Information & Electronics, Kyung Hee University, 1732 Deogyeong-daero, Giheung-gu, Gyeonggi-do, Yongin-si, 446-701, South Korea 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 Kavalli, Kiran; Harish Kumar, M.; Ravikumar, R.; Satish Kumar, V.C.; Kobal, Rajesh; Bongale, Arunkumar Title A name given to the resource Modelling and simulation of high-pressure hydrogen storage tank with composite reinforcement 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 AIP Conference Proceedings;Volume;3369;Issue;1;Article No.;40024; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1063/5.0317441" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0317441</a> <a href="https://www.scopus.com/pages/publications/105035072743?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035072743?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 Kavalli K., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560029, India; Harish Kumar M., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560029, India; Ravikumar R., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560029, India; Satish Kumar V.C., Department of Mechanical Engineering, Symbiosis Institute of Technology, Lavale, Pune, 412115, India; Kobal R., Department of Mechanical Engineering, Symbiosis Institute of Technology, Lavale, Pune, 412115, India; Bongale A., Department of Mechanical Engineering, Symbiosis Institute of Technology, Lavale, Pune, 412115, India Description An account of the resource The hydro-carbon fuel disadvantages like cost, pollution and non-renewable source made a way to look for the other energy resources. The carbon neutral fuel hydrogen is one of the promising fuels for all types of locomotives. One of the major challenges is safe fuel filling and storage, since the hydrogen is highly volatile fuel. Based on the travel distance, different environmental conditions, the hydrogen fuel tank subjected to the varying pressure and volume, which needs the cost-effective material for the fuel tank. This paper presents a comprehensive modelling and simulation study of a highpressure hydrogen storage tank reinforced with composite materials. The performance analysis of a hydrogen storage tank with composite reinforcement is conducted and compared to a standard aluminium hydrogen tank. 2026 Author(s). Publisher An entity responsible for making the resource available American Institute of Physics Relation A related resource ISSN: 0094243X; 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 Restricted Access; Hardcopy may be available in the library 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 Kavalli, Kiran; Hebbar, Gurumoorthy S.; Rout, Amruta Title A name given to the resource Application of Fuzzy-NSGA-II for achieving maximum biodiesel yield from waste cooking oil 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 Environmental Science and Pollution Research;Volume;32;Issue;52;pp.29487-29501 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11356-025-36079-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11356-025-36079-y</a> <a href="https://www.scopus.com/pages/publications/85219698070?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85219698070?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 Kavalli K., Mechanical and Automobile Engineering Department, School of Engineering & Technology, CHRIST University, Karnataka, Bengaluru, 560029, India; Hebbar G.S., Mechanical and Automobile Engineering Department, School of Engineering & Technology, CHRIST University, Karnataka, Bengaluru, 560029, India; Rout A., Mechanical and Automobile Engineering Department, School of Engineering & Technology, CHRIST University, Karnataka, Bengaluru, 560029, India Description An account of the resource The increasing demand for renewable energy and efficient waste management has highlighted the need for innovative biodiesel production techniques. This study optimises biodiesel production from waste cooking oil (WCO) using fuzzy modelling and non-dominated sorting genetic algorithm-II (NSGA-II). The optimisation process focuses on key input parameters: methanol quantity, reaction temperature, reaction time, and catalyst concentration, which were normalised and represented using linguistic variables. Fuzzy logic was employed to predict biodiesel yield, expressed in terms of linguistic variables, and defuzzified to yield crisp output values. The developed model achieved a high R2 value of 96.34%, demonstrating a strong correlation between input variables and biodiesel yield. The NSGA-II algorithm was utilised for multi-objective optimisation, determining the optimal conditions for biodiesel production: 150ml of methanol, a reaction temperature of 62C, a reaction time of 63min, and a catalyst concentration of 7.5g. These parameters resulted in a maximum biodiesel yield of 97.36%. The Box-Behnken experimental design validated the models efficiency, achieving a yield of 96.88%. This study emphasises the practical implications of optimised biodiesel production, such as reducing environmental pollution by recycling WCO and minimising reliance on fossil fuels. The optimised process meets ASTM standards and exhibits scalability potential for industrial-level production with minor modifications. The models robustness makes it suitable for integration into intelligent manufacturing systems, ensuring consistent biodiesel quality and yield through automated monitoring and control mechanisms. Despite its success, challenges such as feedstock variability and initial setup costs must be addressed. Future studies should focus on adaptive models and energy-efficient processing technologies to enhance scalability and sustainability. This research demonstrates a significant step towards sustainable biofuel production, combining waste management with renewable energy generation. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025. Subject The topic of the resource Biodiesel; Fuzzy; NSGA-II; Transesterification; Waste cooking Oil Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 9441344; CODEN: ESPLE 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 Covert Conditioning for Persistent Aggressive Behaviors: A Case Illustration Subject The topic of the resource anger management; emotion dysregulation; Psychotherapy; resistant symptoms; self-management Description An account of the resource In psychotherapy practice and training, single case study design plays an indispensable role by effectively articulating the application of textbook knowledge, thereby bridging the gap between theory and practice. This article, on similar lines, illustrates one such successful example of the application of the classical behavioral technique of covert conditioning modified with a component of verbal challenging. A woman in her late-thirties reported with long-standing seemingly-resistant-to-treat symptoms of aggressive behavior of beating children. The client had a total of 10 daily sessions of 6090 minutes each. By the end of one week, she reported not beating children in this period. She felt extremely relieved because it had happened for the first time in 10 years. The intensity of anger had decreased drastically, and she was not shouting any longer. She had to discontinue sessions abruptly due to unavoidable circumstances. Although she was suggested to follow up the intensive sessions again, she was not able to do it due to feasibility issues. The improvement was maintained on follow-up visits after two weeks, four weeks, and three months. 2021 The Author(s). Creator An entity primarily responsible for making the resource Kavan; Grover N.; Jain N.; Dhiman V. Source A related resource from which the described resource is derived Indian Journal of Psychological Medicine, Vol-45, No. 1, pp. 85-88. Publisher An entity responsible for making the resource available SAGE Publications Ltd 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/10.1177/02537176211056364" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/02537176211056364</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120934641&doi=10.1177%2F02537176211056364&partnerID=40&md5=5e69c26c2062cf76ec236566b77b6948" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120934641&doi=10.1177%2f02537176211056364&partnerID=40&md5=5e69c26c2062cf76ec236566b77b6948</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: 2537176 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 Kavan, School of Humanities and Social Sciences (Psychology), Christ University Delhi-NCR, Uttar Pradesh, Ghaziabad, India; Grover N., Dept. of Clinical Psychology, Institute of Human Behaviour and Allied Sciences, IHBAS, Delhi, New Delhi, India; Jain N., Private Practice, Delhi, India; Dhiman V., Dept. of Psychiatry, All India Institute of Medical Sciences, AIIMS, Uttarakhand, Rishikesh, 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 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 Engaged institution model: A faculty perspective Description An account of the resource This paper attempts to build the engaged institution model from faculty perspective. Data was collected from 200 faculty members across disciplines, who were engaged in community engagement and social responsibility activities in one or the other ways. On analysis of the data, it was found that Instruction and Research, Facilitator, Scholarship factors contribute towards community engagement activities in higher educational institutions and that these factors contribute towards Faculty engagement, Student engagement and Community Engagement. All these factors create Engagement institution model. This work has an implications on theory, practice and policy. Service learning, as a pedagogical tool if implemented in HEIs can effectively bring all the influencing factors together and can help in creating an engaged institution. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Kavatekar S. Source A related resource from which the described resource is derived Effective and Meaningful Student Engagement Through Service Learning, pp. 43-60. 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/10.4018/979-8-3693-2256-7.ch003" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-2256-7.ch003</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192615878&doi=10.4018%2F979-8-3693-2256-7.ch003&partnerID=40&md5=5a2443b78b10d22a22b2273e7839d171" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192615878&doi=10.4018%2f979-8-3693-2256-7.ch003&partnerID=40&md5=5a2443b78b10d22a22b2273e7839d171</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836932257-4; 979-836932256-7 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 Kavatekar S., Department of Commerce, Christ 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 Kavatekar, Smita; Gomes, Roseline Florence; Sudheesh, Kunnathodi; Pullot, Lijeesh; Thomas, Lijo Title A name given to the resource The DREAMS Outbound Leadership Training (DREAMS OLT) for Psychosocial Empowerment Among Youth and Sustainable Development Goals (SDGs) 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 Youth Voice Journal;Volume;16;Issue;2;pp.142-182 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105038752415?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105038752415?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 Kavatekar S., Department of Commerce, School of Commerce, Finance and Accountancy, Christ University, Bangalore, 560029, India; Gomes R.F., Department of Psychology, Jyoti Nivas College Autonomous, Bengaluru, India; Sudheesh K., Department of Commerce, School of Commerce, Finance and Accountancy, Christ University, Bangalore, 560029, India; Pullot L., Department of Commerce, School of Commerce, Finance and Accountancy, Christ University, Bangalore, 560029, India; Thomas L., Christ University, Lavasa, Pune, India Description An account of the resource DREAMS Intervention Program is a three-year curriculum program for schools and Higher Educational Institutions (HEIs), aimed at developing psycho-social leadership skills through mentoring intervention. Its triangulated model connects Schools (under-served students), Universities (youth mentors), and Community (senior leaders) to transfer knowledge, experiences, and leadership skills as tools for social change. Outbound Leadership Training (OLT) is a key instrument in achieving DREAMS' goals. DREAMS OLT is an experiential program to develop higher leadership skills and build effective teams by mentoring children and teens in various DREAMS chapters. Mentor training is ongoing, developing psychosocial competencies through project execution. DREAMS OLT refines these skills with structured, activitybased experiential learning. Integrating sustainability into education advances a holistic approach to developing professional skills and leadership among youth. Such skills help the youth to deal with complex worldly challenges. Initiatives such as DREAMS OLT enable the transformation of SDG frameworks into meaningful action by nurturing responsibility, innovation, collaboration and community engagement. Education and youth leadership are critical drivers of long-term social transformation. DREAMS OLT supports SDGs: 4 (Quality Education), 9 (Industry, Innovation, and Infrastructure), 17 (Partnership for the Goals), 3 (Good Health and Well-Being), and 11 (Sustainable Cities and Communities). This paper explores how DREAMS OLT applies these SDGs through experiential, mentoring-based leadership development and psycho-social empowerment of youth. 2026 RESTORATIVE JUSTICE FOR ALL. Subject The topic of the resource DREAMS Outbound Leadership Training (OLT); Psychosocial Empowerment and Youth; Sustainable Development Goals (SDGs) Publisher An entity responsible for making the resource available RJ4All Publications Relation A related resource ISSN: 20492073; 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 https://archives.christuniversity.in/files/original/2bee247ac3ada6ced9ffcc45736afd98.jpg c8fc0fb7a3a23d9724f6ea71812dd1b2 https://archives.christuniversity.in/files/original/d3979100c2d48162798c17f21226f380.pdf 26b3c4748ca12d1ee40ecf8e5d3ca197 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 Computational methods for detection and recognition of coronary artery stenosis in angiogram images / Subject The topic of the resource Computer Science Creator An entity primarily responsible for making the resource Kavipriya K - 1942044 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 2024-07-19 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 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 Identification of coronary artery stenosis based on hybrid segmentation and feature fusion Subject The topic of the resource Coronary artery disease; Keyframe extraction; stenosis; stenosis detection; X-ray angiography Description An account of the resource Coronary artery disease has been the utmost mutual heart disease in the past decades. Various research is going on to prevent this disease. Obstructive CAD occurs when one or more of the coronary arteries which supply blood to myocardium are narrowed owing to plaque build-up on the arteries inner walls, causing stenosis. The fundamental task required for the interpretation of coronary angiography is identification and quantification of severity of stenosis within the coronary circulation. Medical experts use X-ray coronary angiography to identify blood vessel/artery stenosis. Due to the artefact, the image has less clarity and it will be challenging for the medical expert to find the stenosis in the coronary artery. The solution to the problem a computational framework is proposed to segment the artery and spot the location of stenosis in the artery. Here the author presented an automatic method to detect stenosis from the X-ray angiogram image. A unified Computational method of Jerman, Level-set, fine-tuning the artery structure, is developed to extract the segmented artery features and detect the arterys stenosis. The current experimental outcomes illustrate that this computational method achieves average specificity, sensitivity, Accuracy, precision and F-scores of 95%, 97.5%, 98%, 97.5% and 97.5%, respectively. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Creator An entity primarily responsible for making the resource Kavipriya K.; Hiremath M. Source A related resource from which the described resource is derived Automatika, Vol-64, No. 3, pp. 622-633. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/00051144.2023.2205727" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/00051144.2023.2205727</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158025936&doi=10.1080%2F00051144.2023.2205727&partnerID=40&md5=c11d2756709585e2124c2f66717c98fb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158025936&doi=10.1080%2f00051144.2023.2205727&partnerID=40&md5=c11d2756709585e2124c2f66717c98fb</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: 51144 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 Kavipriya K., Department of Computer Science, Christ Deemed to be University, Bangalore, India; Hiremath M., Department of Computer Science, 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 Advanced Computational Method to Extract Heart Artery Region Subject The topic of the resource Artery; Coronary Angiogram; Frangi Filter; Motion Blur; Segmentation; Stenosis Description An account of the resource Coronary artery disease, also known as coronary heart disease, is the thinning or blockage of heart arteries, which is generally caused utilizing the build-up of fatty material called plaque. The coronary angiogram test is currently the most utilized method for identifying the stenosis status of arteries in the heart. The objective of the proposed hybrid segmentation method is to extract the artery region of the heart from angiogram imagery. Numerous angiogram video clips have been considered in the dataset in this research work. These video clips were acquired from a healthcare center with the due consent of patients and the concerned healthcare personnel. Most angiogram videos consist of unclear images, or the contents are generally not clear, and medical experts fail to acquire accurate information about the damages or blocks formed in arteries due to the same reason. A hybrid computational method to extract well-defined images of heart arteries using Frangi and motion blur features from angiogram imagery has been proposed to address this issue. Fifty patients' information has been used as the dataset for experimentation purposes in this research work. The enhanced Frangi filter is used on the dataset to obtain edge information to enhance the input image based on the Hessian matrix. Further, the motion blur helps in automatically tracking/tracing the pixel direction using the optical flow method. In this method, the complete structure of the artery is extracted. The results, when compared to the existing methods, have proven to be novel and more optimal. 2022 Seventh Sense Research Group. Creator An entity primarily responsible for making the resource Kavipriya K.; Hiremath M. Source A related resource from which the described resource is derived International Journal of Engineering Trends and Technology, Vol-70, No. 6, pp. 366-378. Publisher An entity responsible for making the resource available Seventh Sense Research Group 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/10.14445/22315381/IJETT-V70I6P237" target="_blank" rel="noreferrer noopener">https://doi.org/10.14445/22315381/IJETT-V70I6P237</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134394346&doi=10.14445%2F22315381%2FIJETT-V70I6P237&partnerID=40&md5=1a1a24f6a0021d0699bddbbec2cda327" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134394346&doi=10.14445%2f22315381%2fIJETT-V70I6P237&partnerID=40&md5=1a1a24f6a0021d0699bddbbec2cda327</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23490918 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 Kavipriya K., Department of Computer Science, Christ Deemed to be University, Karnataka, Bangalore, India; Hiremath M., Department of Computer Science, 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 A Novel Approach for Segmenting Coronary Artery from Angiogram Videos Subject The topic of the resource Coronary angiogram; Coronary artery; Keyframe; Segmentation; Video Description An account of the resource This paper addresses the research focuses on coronary artery disease; it is one of the major heart diseases affecting the people all around the world in the recent era. This heart disease is primarily diagnosed using a medical test called angiogram test. During the angiogram procedure the cardiologist often physically selects the frame from the angiogram video to diagnose the coronary artery disease. Due to the waning and waxing changeover in the angiogram video, its hard for the cardiologist to identify the artery structure from the frame. So, finding the keyframe which has a complete artery structure is difficult for the cardiologist. To help the cardiologist a method is proposed, to detect the keyframe which has segmented artery from the angiogram video. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Kavipriya K.; Hiremath M. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-528, pp. 191-200. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-5845-8_14" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-5845-8_14</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141685562&doi=10.1007%2F978-981-19-5845-8_14&partnerID=40&md5=100b916d9a9695191283efaf9794a86d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141685562&doi=10.1007%2f978-981-19-5845-8_14&partnerID=40&md5=100b916d9a9695191283efaf9794a86d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981195844-1 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 Kavipriya K., CHRIST (Deemed to Be University), Bangalore, India; Hiremath M., 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 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 Analysis of benchmark image pre-processing techniques for coronary angiogram images Subject The topic of the resource Coranary angiogram; Image processing; Pattern recognition; Preprocessing Description An account of the resource Coronary Artery supplies oxygenated blood and nutrients to the heart muscles. It can be narrow by the plaque deposited on the artery wall. Cardiologists and radiologists diagnose the disease through visual inspection based on x-ray images. It is a challenging part for them to identify the plaque in the artery in the given imagery. By using image processing and pattern recognition techniques, a narrowed artery can be identified. In this paper, pre-processing methods of image processing are discussed with respect to coronary angiogram image(s). In general the angiogram images are affected by device generated noise / artifacts; pre-processing techniques help to reduce the noise in the image and to enhance the quality of the image so that the region of interest is sensed. The main objective of the medical image analysis is to localize the region of interest by removing the noise. It is essential to find the structure of the artery in the angiogram image, for that preprocessing is useful. 2021 IEEE. Creator An entity primarily responsible for making the resource Kavipriya K.; Hiremath M. Source A related resource from which the described resource is derived 2021 International Conference on Innovative Trends in Information Technology, ICITIIT 2021 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICITIIT51526.2021.9399602" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICITIIT51526.2021.9399602</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104874848&doi=10.1109%2FICITIIT51526.2021.9399602&partnerID=40&md5=76a3fb4b2d96bd949af95700f2764821" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104874848&doi=10.1109%2fICITIIT51526.2021.9399602&partnerID=40&md5=76a3fb4b2d96bd949af95700f2764821</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166540467-9 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 Kavipriya K., CHRIST Deemed to Be University, Department of Computer Science, Bangalore, India; Hiremath M., CHRIST Deemed to Be University, Department of Computer Science, 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 PHD 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/. Relation A related resource 61000344 Title A name given to the resource Computational Methods for Detection and Recognition of Coronary Artery Stenosis in Angiogram Images Subject The topic of the resource Computer Science Description An account of the resource Coronary Artery Disease (CAD) is caused by stenosis of the coronary artery's lumen. This heart disease is one of the reasons for the highest mortality worldwide. This illness manifests as stenosis or plaque in the coronary arteries and causes atherosclerosis. It damages or clogs the heart arteries, causing a lack of blood flow to the heart muscles and leading to a heart attack. There are different medical modalities to diagnose the heart artery disease. A standard method used by the cardiologist to diagnose the severity of this disease is coronary angiography. An X-ray machine is used to capture the angiogram image at various angles during cardiac catheterization. Experts examine the data and offers different opinions. owever, most of the angiogram videos consist of unclear images with artifacts, and because of the complex structure of the arteries, medical experts fail to get accurate information about the damages and blockages in arteries. Based on the cardiologist's suggestions, a computational model is proposed as a secondary method to detect and recognize the stenosis level from the coronary angiogram images. The proposed model is Coronary Artery Stenosis Detection Using Digital Image Processing (CASDDIP). The proposed research model/framework can identify the stenosis in the cardiogram image with good accuracy of 98.06% precision. This proposed research experimentation can be compared with existing literature methods which outperforms compared to other methods using real time dataset. A dataset, such as angiogram videos and images of patients under varying age groups, is used to train the model. These videos are acquired from the healthcare center with due consent. The proposed CASDDIP model consists of four modules: Keyframe extraction and preprocessing Coronary Artery Segmentation Feature extraction and stenosis detection Initially, a novel keyframe extraction method is proposed to find the keyframe from the angiogram video. Followed by a hybrid segmentation method is presented in this research to extract the coronary artery region from the image. Further a method is proposed to detect the stenosis by extracting and fusing different features. Detected stenosis is categorized using the proposed stenosis level classification method. This CASDDIP model is a supporting tool to help the cardiologist during diagnosis. Creator An entity primarily responsible for making the resource Kavipriya, K Source A related resource from which the described resource is derived Author's Submission 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 2024-01-01 Contributor An entity responsible for making contributions to the resource Hiremath, Manjunatha Rights Information about rights held in and over the resource Open Access Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource PhD Identifier An unambiguous reference to the resource within a given context <a href="http://hdl.handle.net/10603/575076" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/575076</a>