819 20 16481 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications 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 Yassin, Warusia; Abdollah, Mohd Faizal; Ismail, Anuar; Kamis, Noor Hisham; Razak, Siti Fatimah Abdul; Joy, Helen K. Title A name given to the resource Multi-stage spatial temporal ensemble model with integrated learning methods for robust deepfake detection 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 Discover Computing;Volume;29;Issue;1;Article No.;291; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s10791-026-10093-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10791-026-10093-1</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105039850967?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039850967?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 Yassin W., Faculty of Artificial Intelligence and Cyber Security, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia; Abdollah M.F., Faculty of Artificial Intelligence and Cyber Security, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia; Ismail A., Ask-Pentest Sdn Bhd, Kuala Lumpur, Malaysia; Kamis N.H., Faculty of Information Science and Technology, Multimedia Universiti, Melaka, Malaysia; Razak S.F.A., Faculty of Information Science and Technology, Multimedia Universiti, Melaka, Malaysia; Joy H.K., Department of Computer Science, Christ University, Bangalore, India Description An account of the resource Deepfake detection remains a significant challenge as modern generative models increasingly minimize visible artefacts, and many existing approaches rely solely on either spatial or temporal cues, which limits their robustness and generalization. Many existing hybrid approaches integrate mature learning models in linear or stacked pipelines, which often suffer from error propagation, reduced interpretability, and suboptimal generalization. Unlike prior hybrid approaches that primarily stack spatialtemporal learners, the proposed multi-stage hybrid Integrated Learning Method (ILM) introduces a validation-aware dual-detection mechanism, an independent dual-path spatial-temporal learning design, and a decision-level nonlinear ensemble fusion strategy, explicitly mitigating face mislocalization, temporal dilution, and false-positive propagation observed in existing deepfake detection pipelines. The ILM framework structurally coordinates facial region localization and validation using YOLOv5 and Haar Cascade, deep spatial feature extraction using ResNet-50, frame-level spatial classification via LightGBM, and temporal sequence modeling using LSTM networks. The outputs from the spatial and temporal pathways are subsequently fused using a Random Forest classifier, enabling nonlinear aggregation of complementary evidence while preserving interpretability. Experimental results on the FaceForensics + + and Celeb-DF (v2) benchmark datasets show that ILM achieves 98.30% accuracy, 97.90% precision, and 98.70% recall, outperforming recent state-of-the-art CNNLSTM, ViT-based, and CNNTransformer models by 16%. Ablation studies confirm that each module contributes incrementally to performance stability and false-positive reduction, demonstrating the importance of ILMs multi-stage architecture rather than the individual algorithms alone. Overall, ILM provides a modular, accurate, and computationally efficient solution suitable for deployment in digital forensics, media authentication, and AI governance. Future work will extend ILM with transformer-based global encoders and explainable AI techniques to further improve interpretability and robustness against emerging deepfake models. The Author(s) 2026. Subject The topic of the resource Deepfake detection; Ensemble learning; Integrated learning; LightGBM; LSTM; Multi-stage framework; ResNet-50; Spatial-temporal features; Video forensics; YOLOv5 Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 29482992; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Subscriber Preference and Content Consumption Pattern toward OTT platform: An Opinion Mining Subject The topic of the resource Content Consumption Pattern; OTT platform; Sentiment Analysis; Subscriber Preference Description An account of the resource Introduction: The outburst of the pandemic has paved the way for the immense popularity of over-The-Top (OTT) platforms among viewers. Furnishing an alternate medium to watch favorite shows and making it a new normal, the OTT platform has replaced the traditional entertainment platform. However, migrating from traditional television to an OTT platform is still a challenge in developing countries. Hence, the understanding of subscriber preferences and content consumption patterns becomes essential to planning and strategizing future business models. Purpose: The purpose of the paper is to examine the subscriber preference and content consumption pattern toward the OTT platform. In addition, this paper also investigates the popularity of leading OTT platforms among Indian viewers. Methodology: Data has been collected from the subscribers of three major OTT: Amazon Prime, Netflix Video, and Disney+Disney+Hotstar. A total of 1860 reviews were scraped as textual data and analyzed using the lexicon-based method. The polarity of the sentiments pertaining to the reviews of different platforms was analyzed using sentiment analysis. Furthermore, the topic modeling on the reviews was performed using natural language programming(NLP). Findings: The findings of sentiment analysis showed that Netflix and Disney+Disney+Hotstar had a considerable number of positive sentiments among viewers when compared to Amazon Prime Video. Eventually, the paper also showed negative sentiment towards Amazon Prime Video regarding streaming content, ad pop-ups, interface issue, shows, etc. Our findings help OTT platforms to determine which factors are driving this dramatic shift in viewer behaviour so that better strategies for attracting and retaining subscribers can be developed. Despite the rise in OTT platform popularity, this is the first study to investigate the content consumption pattern of OTT viewers comprehensively. 2022 IEEE. Creator An entity primarily responsible for making the resource Yawalkar P.; Birari A.; Bharathan G.; Vakayil S.; Sharma R. Source A related resource from which the described resource is derived 2022 International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 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/TQCEBT54229.2022.10041265" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT54229.2022.10041265</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149179432&amp;doi=10.1109%2FTQCEBT54229.2022.10041265&amp;partnerID=40&amp;md5=9193960b1846666a5b6cdcc17bb8624f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149179432&amp;doi=10.1109%2fTQCEBT54229.2022.10041265&amp;partnerID=40&amp;md5=9193960b1846666a5b6cdcc17bb8624f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166545361-5 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 Yawalkar P., Christ University, India; Birari A., Christ University, India; Bharathan G., Christ University, India; Vakayil S., Loyola Institute of Business Administration, India; Sharma R., 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 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 Yellampalli Prakash, Ravitej; Ramakumar, Bommishetty Venkata Naga; R, Keshavamurthy; Patil, Sandeep S; Vijay Kumar, Vishnu; Hiriyannaiah, Adarsha Title A name given to the resource Experimental, FEA, and machine learning studies on wear behavior of LM13 aluminum hybrid composites reinforced with zircon and graphite 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 Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology;Issue;;Article No.;1.35065012513675e+16; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1177/13506501251367549" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/13506501251367549</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105013857051?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013857051?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 Yellampalli Prakash R., Department of Mechanical Engineering, Dayananda Sagar University, Karnataka, Bengaluru, India; Ramakumar B.V.N., Department of Aerospace Engineering, Dayananda Sagar University, Karnataka, Bengaluru, India; R K., Department of Mechanical and Automobile Engineering, CHRIST University, Karnataka, Bengaluru, India; Patil S.S., RWTH India Office, Maharashtra, Pune, India; Vijay Kumar V., Division of Engineering, NYU, University of Abu Dhabi, Abu Dhabi, United Arab Emirates; Hiriyannaiah A., Department of Mechanical Engineering, Jain University, Karnataka, Bengaluru, India Description An account of the resource This paper examines applied load and zircon reinforcement influence on LM13 alloy composites wear behavior. LM13 was reinforced with 3?wt.% graphite with 3, 6, 9, and 12 weight percent of zircon utilizing a stir casting technique with a chill end to achieve unidirectional solidification. Wear tests were conducted on specimen's chill end using a pin-on-disc apparatus under loads of 30?N, to 70?N in steps of 10?N incremental. The results indicated that when the amount of zircon went up, the wear rate dropped, reaching a minimum at 9?wt.% zircon, then slightly increasing at 12?wt.%. Specifically, wear rate reduced from 4.2?10?3mm/Nm at 3?wt.% zircon to 2.7?10?3mm/Nm at 9?wt.% zircon, before rising to 3.5?10?3mm/Nm at 12?wt.%, establishing 9?wt.% zircon as the optimum reinforcement. Finite Element Analysis (FEA) had been used to simulate wear behavior, and its predictions aligned well with experimental data, with deviations under 5%. Both experimental and FEA results confirmed that wear rate increases proportionally with applied load. Additionally, machine learning techniques were employed to validate the observed trends, enhancing the reliability of the findings. Microstructural analysis through Field Emission Scanning Electron Microscopy showed evidence of plastic deformation and delamination at higher stress levels, compromising material integrity. Notably, the composite with 9?wt.% zircon exhibited reduced wear deformation and minimal microstructural damage, confirming its effectiveness in improving wear resistance. IMechE 2025 Subject The topic of the resource finite element analysis; Machine learning; Pin On Disc; stir casting; wear rate Publisher An entity responsible for making the resource available SAGE Publications Ltd Relation A related resource ISSN: 13506501; CODEN: PEJTE 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 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 A survey on various applications of internet of things on blockchain platform Description An account of the resource [No abstract available] Creator An entity primarily responsible for making the resource Yengkhom A.; Mukhopadhyay D. Source A related resource from which the described resource is derived Blockchain for IoT, pp. 21-48. Publisher An entity responsible for making the resource available CRC Press 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/10.1201/9781003188247-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003188247-2</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139288380&amp;doi=10.1201%2F9781003188247-2&amp;partnerID=40&amp;md5=7a6d0dfdd521dc31fe30b3117af91225" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139288380&amp;doi=10.1201%2f9781003188247-2&amp;partnerID=40&amp;md5=7a6d0dfdd521dc31fe30b3117af91225</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100073737-0; 978-103203621-2 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 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 Yengkhom A., Christ University, Bangalore, India; Mukhopadhyay D., 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 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 Sentiment Analysis on Time-Series Data Using Weight Priority Method on Deep Learning Subject The topic of the resource Deep learning; Natural Language Processing; Polarity Identification; Sentiment Analysis; Time-series data; Weight priority Description An account of the resource Sentiment Analysis (SA)is the process to gain an overview of the public opinion on certain topics and it is useful in commerce and social media. The preference on certain topics can be varied on different time periods. To analyze the sentiments on topics in different time periods, priority weight based deep learning approaches like Convolutional-Long Short-Term Memory (C-LSTM)and Stacked- Long Short-Term Memory (S-LSTM)is explored and analyzed in this research. The research method focuses on three phases. In the first phase text data (review given by the customers on various products)is collected from social networking e-commerce site and temporal ordering is done. In the second phase, different deep learning models are created and trained with different time-series data. In the final phase the weights are assigned based on temporal aspect of the data collected. For the obtained results verification and validation processes are carried out. Precision and recall measures are computed. Results obtained shows better performance in terms of classification accuracy and F1-score. 2019 IEEE. Creator An entity primarily responsible for making the resource Yeo I.; Balachandran K. Source A related resource from which the described resource is derived 2019 International Conference on Data Science and Communication, IconDSC 2019 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 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IconDSC.2019.8816985" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IconDSC.2019.8816985</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072777448&amp;doi=10.1109%2FIconDSC.2019.8816985&amp;partnerID=40&amp;md5=4c9dac6c2f8bbd8d53eb2dbfe9cc3b9c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072777448&amp;doi=10.1109%2fIconDSC.2019.8816985&amp;partnerID=40&amp;md5=4c9dac6c2f8bbd8d53eb2dbfe9cc3b9c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-153869319-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Yeo I., Dept. of Computer Science and Engineering, CHRIST, Deemed to be University, Bangalore, India; Balachandran K., Dept. of Computer Science and Engineering, CHRIST, Deemed to be University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Implementing strategic responses in the COVID-19 market crisis: a study of small and medium enterprises (SMEs) in India Subject The topic of the resource Case study; Challenges and responses; Dynamic capability theory; Emerging economies; India; Research model; Small and medium-sized enterprise (SME); Strategy implementation theory; Survey instrument; The COVID-19 pandemic Description An account of the resource Purpose: The COVID-19 pandemic presents unprecedented challenges for small and medium enterprises (SMEs) in emerging economies. This paper aims to examine how India's SMEs implement their strategic responses in this crisis. Design/methodology/approach: The study uses dynamic capability theory to explore the strategic responses of SMEs. Strategy implementation theory helps to explain how they implement innovative practices for outcomes. A research model defines the COVID-19 challenges, strategic responses and performance outcomes. The study reports the findings of an initial pilot study of 75 firms and follow-up case study results in the context of COVID-19. Findings: Firms choose their approaches according to their perceived market risks. Case studies illustrate that firms display diverse attitudes depending on their strategic direction, leadership vision and organizational culture. They achieve different outcomes by implementing specific styles of risk management practices (e.g. risk-averting, risk-taking and risk-thriving). Research limitations/implications: Although the study context is Indian SMEs, the findings suggest meaningful lessons for other emerging economies in similar crisis events. The propositions may be extended to future research in broad contexts. Practical implications: Even in the extraordinary COVID-19 market crisis, SMEs with limited resources display their strategic potential by recognizing their unique capabilities, translating them into effective actions and achieving desirable outcomes. Social implications: In the COVID-19 pandemic, top leaders' mental attitude, strategic perspective and routine practices are contagious. Positive leadership motivates both internal and external stakeholders with an enormous level of collaboration. Originality/value: This rare study of Indian SMEs provides a theoretical framework for designing a pilot survey and conducting a case study of multiple firms. Based on these findings, testable propositions are articulated for future research in diverse organizational and national contexts. 2021, Emerald Publishing Limited. Creator An entity primarily responsible for making the resource Yeon G.; Hong P.C.; Elangovan N.; Divakar G.M. Source A related resource from which the described resource is derived Journal of Indian Business Research, Vol-14, No. 3, pp. 319-338. Publisher An entity responsible for making the resource available Emerald Group Holdings 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/10.1108/JIBR-04-2021-0137" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/JIBR-04-2021-0137</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122832856&amp;doi=10.1108%2FJIBR-04-2021-0137&amp;partnerID=40&amp;md5=be96ec8d5787551038b0d56bb28f7e9d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122832856&amp;doi=10.1108%2fJIBR-04-2021-0137&amp;partnerID=40&amp;md5=be96ec8d5787551038b0d56bb28f7e9d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17554195 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 Yeon G., Department of Economics and Innovation Centre, Christ University, Bangalore, India; Hong P.C., Department of Information Operations and Technology Management, The University of Toledo, Toledo, OH, United States; Elangovan N., School of Business and Management, Christ University, Bangalore, India; Divakar G.M., School of Business and Management, 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 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 Expanding the Notion of Personal Well-Being During COVID-19 Campus Closure in India: Results from a Mixed-Methods Study with Members of Higher Education Subject The topic of the resource distributed leadership; middle leaders; middle leadership; teacher leaders; Teacher leadership Description An account of the resource The COVID-19 pandemic has challenged lives globally in unprecedented ways. While numerous studies have discussed the impact of this pandemic on human lives, this descriptive study examined how this pandemic affected personal well-being (PW) for members of Indian higher education in the early phase of the pandemic in 2020 when there were no vaccines and remedies available. Research participants (n = 551) were faculty members, graduate students, and non-teaching staff in Indian higher education. At the time of data collection, when all campuses were closed, all participants were functioning in their roles in the academic communities via virtual platforms. This descriptive study, based on a mixed-methods research design with concurrent triangulation strategies, collected data from all regions of India. Resulting data identified and discussed the impact of the pandemic on six domains of PW in the life of participants: (a) self-care; (b) professional growth; (c) quality of interrelationship within the family; (d) relationships with significant others outside of the family; (e) process of experiencing/facing and addressing challenges; and, (f) relationship with spirituality/transcendental dimensions. The relevance of the last domain may be unique to Indian participants socio-cultural context and ethos. The findings and discussion explain how PW is a composite of all these six domains, and the pandemic expanded the notion of PW for the members of Indian higher education. Further, the findings also provided a general orientation on how educational leadership teams and institutions can enhance at least three specific dimensions of their community members and thus increase the likelihood of improving the quality of their professional and personal life. The findings may also have relevance for academic communities worldwide and inform clinicians working with members of academic communities, educational institutions, and policymakers. Penerbit Universiti Sains Malaysia, 2024. Creator An entity primarily responsible for making the resource Yeon G.; Perumbilly S.; Elangovan N.; Awungshi S.; Varghese K.J. Source A related resource from which the described resource is derived Asia Pacific Journal of Educators and Education, Vol-39, No. 1, pp. 1-23. Publisher An entity responsible for making the resource available Penerbit Universiti Sains Malaysia 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/10.21315/apjee2024.39.1.1" target="_blank" rel="noreferrer noopener">https://doi.org/10.21315/apjee2024.39.1.1</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200680104&amp;doi=10.21315%2Fapjee2024.39.1.1&amp;partnerID=40&amp;md5=83a86fc752cfddc398079c29085d80b1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200680104&amp;doi=10.21315%2fapjee2024.39.1.1&amp;partnerID=40&amp;md5=83a86fc752cfddc398079c29085d80b1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21803463 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 Yeon G., Department of Economics, Christ University, Hosur Main Road, Bhavani Nagar, Karnataka, Bengaluru, 560029, India; Perumbilly S., Department of Marriage and Family Therapy, Southern Connecticut State University, 501 Crescent Street, New Haven, 06515, CT, United States; Elangovan N., School of Business and Management, Christ University, Hosur Main Road, Bhavani Nagar, Karnataka, Bengaluru, 560029, India; Awungshi S., Department of Psychology, Jesus and Mary College, University of Delhi, Chanakyapuri, New Delhi, 110021, India; Varghese K.J., Department of Psychology, Christ University, Hosur Main Road, Bhavani Nagar, Karnataka, Bengaluru, 560029, India https://archives.christuniversity.in/files/original/1ec85dbcdb404a9a88717b103f84dd1b.pdf d69345380ddac74e7d1c1ddcbfa84e25 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 MPHIL Mphil Mphil 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 Livelihood of Tibetan Winter Itinerant Sweater Traders in Madhya Pradesh Creator An entity primarily responsible for making the resource Yeshi Tenzin Date A point or period of time associated with an event in the lifecycle of the resource 2018 Source A related resource from which the described resource is derived Economics 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 Photocatalytic seawater splitting for hydrogen fuel production: impact of seawater components and accelerating reagents on the overall performance Description An account of the resource The future fuel, hydrogen, is a clean, sustainable energy source with a substantial density of energy per unit volume/weight. Breakthroughs in hydrogen production, storage, and transportation are essential to meet the sustainable global energy demands. Solar-to-hydrogen conversion through water-splitting reactions (via photo/electro/photoelectro-processes) is a promising strategy for producing green hydrogen fuel. Specifically, the photocatalytic hydrogen generation reaction, mimicking artificial photosynthesis, is a simple and cost-effective method adopted for solar-hydrogen production. Various semiconductor photocatalysts and hybrid photocatalytic systems have been developed to address the sluggish kinetics and selectivity of pristine water/seawater splitting reactions. Recently, seawater has been used as feedstock for large-scale hydrogen production to advance the field and alleviate the scarcity of freshwater sources. This review article, therefore, aims to highlight the importance of seawater splitting reactions using different photocatalytic systems. A brief introduction to the fundamentals, historical progress, and mechanism of the seawater splitting reaction is presented. The impact of seawater components and accelerating reagents on the intrinsic performance of water splitting catalysts is discussed in detail, followed by an elaborate discussion of natural water and artificial seawater splitting with emphasis on onerous photocatalyst designs. Finally, the current challenges and opportunities of saltwater electrolysis for sustainable hydrogen fuel generation and applications are discussed. 2023 The Royal Society of Chemistry. Creator An entity primarily responsible for making the resource Yesupatham M.S.; Augustin A.; Agamendran N.; Honnappa B.; Shanmugam M.; Sagayaraj P.J.J.; Thennarasu G.; Sagaya Selvam N.C.; Sekar K. Source A related resource from which the described resource is derived Sustainable Energy and Fuels, Vol-7, No. 19, pp. 4727-4757. Publisher An entity responsible for making the resource available Royal Society of Chemistry 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/10.1039/d3se00810j" target="_blank" rel="noreferrer noopener">https://doi.org/10.1039/d3se00810j</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170237371&amp;doi=10.1039%2Fd3se00810j&amp;partnerID=40&amp;md5=fe2c56e710b053bd903a76d27ff5fcc4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170237371&amp;doi=10.1039%2fd3se00810j&amp;partnerID=40&amp;md5=fe2c56e710b053bd903a76d27ff5fcc4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23984902 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 Yesupatham M.S., Sustainable Energy and Environmental Research Laboratory, Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, 603203, India; Augustin A., Sustainable Energy and Environmental Research Laboratory, Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, 603203, India; Agamendran N., Sustainable Energy and Environmental Research Laboratory, Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, 603203, India; Honnappa B., Department of Physics and Nanotechnology, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, 603203, India; Shanmugam M., Sustainable Energy and Environmental Research Laboratory, Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, 603203, India; Sagayaraj P.J.J., Sustainable Energy and Environmental Research Laboratory, Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, 603203, India; Thennarasu G., Department of Chemistry, C. Kandaswami Naidu College for Men (A Unit of Pachaiyappa's Trust), Chennai, 600102, India; Sagaya Selvam N.C., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Sekar K., Sustainable Energy and Environmental Research Laboratory, Department of Chemistry, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Tamil Nadu, Kattankulathur, 603203, 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 Machine Learning based Plant Disease Identification by using Hybrid Nae Bayes with Decision Tree Algorithm Subject The topic of the resource Artificial Intelligence; Convoluted Neural Networks; Decision Tree; Machine Learning; Nae Bayes Description An account of the resource Artificial intelligence or machine learning as a domain started as a distinct domain marketplace for enthusiasts. Over an extended period of time, this has evolved into an industry with boundless potential. This is the focal point of a plethora of technologies like real-time analytics, deep learning in computer science. It's inherent to various customer needs such as fault detection, home automation, health monitoring devices as well as appliances, and multiple RPM devices Artificial intelligence which has been tested and trained to recognize and determine a plethora of flaws and inaccuracies. This could be intriguing procedures in day-to-day applications. An unimaginable number of prediction models, packages, libraries as well as sensors are utilized to sieve through flaws with the aid of mobile app development and other multispectral sensors. These trendy devices have become ever present and a part of our extensive routine. The demand for dependable and efficient algorithms is satisfied while implementing these devices. The objective primarily dictates emphasis on the prediction of plant diseases in the agricultural arena in reality by providing aid in the field of agriculture, and industry. In this case, the device incorporates a database which stores and keeps track of previously detected flaws or defects. In addition, the history of detected plant infections is maintained in an online repository. This can help with the forecast of the defects within the gadgets that are to be enhanced. Furthermore, the suggested approach of this text inculcates the invigilation of every leaf in the plant via machine learning model. Hence, this approach of implementation limits interaction of humans with the interface and it detects disease ridden plants efficiently with accuracy. The plant disease identification problem is to solve the proposed hybrid Nae Bayes with Decision Tree algorithm. The proposed model provides higher accuracy level compare to the regular model. 2023 IEEE. Creator An entity primarily responsible for making the resource Yetukuri N.K.; Maddali K.; Jayapandian N. Source A related resource from which the described resource is derived Proceedings - 5th International Conference on Smart Systems and Inventive Technology, ICSSIT 2023, pp. 852-858. 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/ICSSIT55814.2023.10061099" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSSIT55814.2023.10061099</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150679515&amp;doi=10.1109%2FICSSIT55814.2023.10061099&amp;partnerID=40&amp;md5=f6b8941020a61c77270cd0de26c16b75" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150679515&amp;doi=10.1109%2fICSSIT55814.2023.10061099&amp;partnerID=40&amp;md5=f6b8941020a61c77270cd0de26c16b75</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547467-2 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 Yetukuri N.K., Christ (Deemed to Be University), Department of Cse, India; Maddali K., Christ (Deemed to Be University), Department of Cse, India; Jayapandian N., Christ (Deemed to Be University), Department of Cse, India https://archives.christuniversity.in/files/original/9d9f820232b3e79e2a4f8335df2221b7.pdf c0a6fc43e98d6bc6d1b93dab8ea993e0 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 MPHIL Mphil Mphil 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 Home and Identities in Yael Dayan???s Death Had Two Sons and Elie Wiesel???s The Forgotten: A Contrapuntal Reading Creator An entity primarily responsible for making the resource Yhome Lucy Keneikhrienuo Date A point or period of time associated with an event in the lifecycle of the resource 2018 Source A related resource from which the described resource is derived English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications 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/. Creator An entity primarily responsible for making the resource Yhome, Lucy Keneikhrienuo; Mudaliar, Meghna Christina Title A name given to the resource MAGIC AND TERROR IN EASTERINE KIRES ECOLOGICAL FICTION: Indigenous Naga Ecofeminism and Conservation Ethics 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 The Routledge Companion to Global Womens Writing;pp.213-224 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4324/9781003365730-23" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003365730-23</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105022539789?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022539789?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 Yhome L.K., Department of English and Cultural Studies, Christ University, Bangalore, India; Mudaliar M.C., Christ University, India Description An account of the resource Indigenous women across the globe are front-line environmental activists implementing sustainable living practices and conservation through their activism and narratives. Indigenous women writers from Nagaland dominate published creative work from the region, making creative writing a space of resistance and representation. Native or Indigenous knowledge systems revolve around ecocultural practices of sustainability and conservation ethics. The Tenyimia worldview of the Angami Nagas of Nagaland opens up possibilities of ecological ethics and sustainable living through its knowledge systems. A minority Indigenous community in the Northeast region of India, the Angami Nagas represent a worldview that offers sustainable living practices and means of forest conservation through narratives that incorporate magic and terror. Easterine Kire, a renowned writer from Nagaland, has revived the eco-culture of the community through her representation of the Tenyimia worldview, offering insights into Indigenous ecofeminist views through her narratives, which she terms Peoplestories.' The present chapter investigates how magic and terror in Easterine Kires fiction represent forms of Indigenous knowledge that help define ecological ethics. The study applies an Indigenous ecofeminist approach to Easterine Kires work which invokes magic and terror through forest spirits, river spirits, and environmental legends such as the Tekhumevi, or were-tiger, to offer a re-imagination of the ecological spaces traditionally reflected through the communitys oral narratives. 2025 selection and editorial matter, Ina C. Seethaler and Tripthi Pillai; individual chapters, the contributors. Publisher An entity responsible for making the resource available Taylor and Francis Relation A related resource ISBN: 978-104035365-3; 978-103243105-5; Language A language of the resource English Type The nature or genre of the resource Book chapter 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 Yhome, Lucy Keneikhrienuo; Sabu, Melba Title A name given to the resource Alternative Worldview: The Naga Weretiger, an Ecolegend in When the Millet Fields Flower 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 Forum for World Literature Studies;Volume;18;Issue;1;pp.81-95 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105040110192?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105040110192?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 Yhome L.K., Department of English, St. Joseph's College Jakhama, Jakhama, 797001, India; Sabu M., Department of English and Cultural Studies, Christ University, Karnataka, Bengaluru, 560076, India Description An account of the resource This paper analyses the Naga Eco-legend tekhumevi to introduce an alternative worldview through Indigenous communities' philosophy and lived experience. In the context of contemporary environmental discourses, literature plays a significant part in highlighting the affective folklore guiding ethical, environmental practices in regions that are considered ecologically rich areas. Foregrounding the vibrant tapestry of North East Indian Indigenous cultures, it aims to discuss the impact of extraordinary stories on the lives of Nagas and how they shape the community's worldviews. This includes their relationships with the non-human world and their cultural identity. The paper also discusses the vitality of the traditional ecological knowledge of the Indigenous communities and its potential to offer alternative ecological sustenance ethics through holistic worldviews. The oral tradition of the Naga community has re-emerged time and again as a potent tool in offering ecological solutions and abiding by the ethics of sustenance and co-existence. The paper discusses an example of such a toolthe Naga weretiger, or tekhumevi's colonial imagery in the Naga oral histories and lore. However, the perception of such philosophical instruments sees a change because of social and ideological shifts that may be attributed to the intervention of scientific technologies, religion, worldviews, and rationale. Similarly, the accelerated climate health crisis has shifted the focus to an inclusive approach in the 'literature of nature', especially towards the more-than-human, as an alternative to this crisis. The paper reinforces the importance of folk literature and its relevance in the contemporary Naga community, reaffirming Indigenous cosmovision and epistemologies as spaces of resistance and representation. Avinuo Kire's "When the Millet Fields Flower" from The Last Light of Glory Days (2021) intersects magic, terror, community, spiritualism, and ecological ethics. The tekhumevi narrative reinstates the Naga ecological wisdom of bridging the gap and promoting a liminal existence/relationship between the Naga people and non-human entities and spirits. 2026, Knowledge Hub Publishing Company Limited (Hong Kong). All rights reserved. Subject The topic of the resource folklore; identity; nativized Christianity; Peplestories; Tekhumevi Publisher An entity responsible for making the resource available Knowledge Hub Publishing Company Limited (Hong Kong) Relation A related resource ISSN: 19498519; 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 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 Yingying, Jiang; Paari, Kuppusamy Alagesan Title A name given to the resource In Silico Screening of Medicinal Plant-Derived Compounds Against Spodoptera litura Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Journal of Tropical Life Science;Volume;15;Issue;1;pp.209-222 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11594/jtls.15.01.20" target="_blank" rel="noreferrer noopener">https://doi.org/10.11594/jtls.15.01.20</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105009225053?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009225053?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 Yingying J., Department of Life Sciences, Christ University, Bangalore, 560029, India; Paari K.A., Department of Life Sciences, Christ University, Bangalore, 560029, India Description An account of the resource Spodoptera litura (Lepidoptera: Noctuidae) is a major agricultural pest in the Asia-Pacific region, causing significant crop damage. Current pest control strategies heav-ily rely on chemical pesticides, leading to environmental concerns and rapid resistance development. Molecular docking and molecular dynamics studies were used to investigate bio-compounds from three medicinal plants-Vitex negundo, Artemisia nilagirica, and Portulaca oleraceaas potential eco-friendly pest management al-ternatives. Gas chromatography-mass spectrometry (GC-MS) analysis identified 28 phytochemicals, of which 14 conformed to Lipinskis Rule of Five, which were selected as ligands. Molecular docking simulations were conducted to evaluate ligand interactions with four key target proteins in Spodoptera litura: acetylcholinesterase (AChE), carboxylesterase (CES), ecdysone receptor (EcR) and juvenile hormone (JH). Among the tested compounds, oxalic acid, 6-ethyloct-3-yl hexyl ester, and (11Z)-13-methyl-11-tetradecenyl acetate exhibited the highest binding affinities (-8.4 to-6.5 kcal/mol), suggesting their potential as inhibitory agents. Normal mode analysis (NMA) revealed low eigenvalues of the complexes, ranging from 9.6992260-5 to 3.0715890-4, indicating flexibility and requiring minimal energy for conformational changes. Deformability was highest in hinge regions, while var-iance analysis confirmed inverse proportionality across the complexes. The B-factor graph highlighted stable mobility and the root mean square (RMS) of the 3D con-former structures. Elastic network graphs displayed residue interactions as dots, with darker grey areas signifying greater stiffness. ADME/T analysis showed that these compounds possess favorable pharmacokinetic properties, including efficient ab-sorption and metabolism, while exhibiting no significant risks of mutagenicity or cardiotoxicity. These findings further support the suitability of Oxalic acid, 6-ethyloct-3-yl hexyl ester, and (11Z)-13-Methyl-11-tetradecenyl acetate as promising candidates for advancing sustainable and eco-friendly pest management approaches. Furthermore, the potential of identified plant-derived compounds as novel biopesti-cides contributes to sustainable and environmentally responsible pest management strategies. 2025, Brawijaya University. All rights reserved. Subject The topic of the resource Medicinal plant; Molecular docking; Molecular dynamics simulation; Spodoptera litura Publisher An entity responsible for making the resource available Brawijaya University Relation A related resource ISSN: 20875517; 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 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 Investigating Key Contributors to Hospital Appointment No-Shows Using Explainable AI Subject The topic of the resource AI; Artificial Intelligence; Explainable; Health Analytics; Health Informatics; Healthcare; Hospital; Interpretable; LIME; Machine Learning; No-Shows; SHAP; XAI Description An account of the resource The healthcare sector has suffered from wastage of resources and poor service delivery due to the significant impact of appointment no-shows. To address this issue, this paper uses explainable artificial intelligence (XAI) to identify major predictors of no-show behaviours among patients. Six machine learning models were developed and evaluated on this task using Area Under the Precision-Recall Curve (AUC-PR) and F1-score as metrics. Our experiment demonstrates that Support Vector Classifier and Multilayer Perceptron perform the best, with both scoring the same AUC-PR of 0.56, but different F1-scores of 0.91 and 0.92, respectively. We analysed the interpretability of the models using Local Interpretable Model-agnostic Explanation (LIME) and SHapley Additive exPlanations (SHAP). The outcome of the analyses demonstrates that predictors such as the patients' history of missed appointments, the waiting time from scheduling time to the appointments, patients' age, and existing medical conditions such as diabetes and hypertension are essential flags for no-show behaviours. Following the insights gained from the analyses, this paper recommends interventions for addressing the issue of medical appointment no-shows. 2024 IEEE. Creator An entity primarily responsible for making the resource Yiye V.; Ugbomeh O.; Ezenkwu C.P.; Ibeke E.; Sharma V.; Alkhayyat A. Source A related resource from which the described resource is derived 2024 International Conference on Electrical, Electronics and Computing Technologies, ICEECT 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICEECT61758.2024.10739123" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEECT61758.2024.10739123</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211175180&amp;doi=10.1109%2FICEECT61758.2024.10739123&amp;partnerID=40&amp;md5=104dbf66d95749cafcbd0e45134c6565" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211175180&amp;doi=10.1109%2fICEECT61758.2024.10739123&amp;partnerID=40&amp;md5=104dbf66d95749cafcbd0e45134c6565</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037809-2 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 Yiye V., Robert Gordon University, School of Creative and Cultural Business, Aberdeen, United Kingdom; Ugbomeh O., Robert Gordon University, School of Creative and Cultural Business, Aberdeen, United Kingdom; Ezenkwu C.P., Robert Gordon University, School of Computing, Engrg.,and Tech, Aberdeen, United Kingdom; Ibeke E., Robert Gordon University, School of Computing, Engrg.,and Tech, Aberdeen, United Kingdom; Sharma V., Christ University, Computer Science Department, India; Alkhayyat A., Islamic University, College of Technical Engineering, Najaf, Iraq 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 Parametric Study on Compaction Characteristics of Clay Sand Mixtures Subject The topic of the resource Artificial soils; Atterberg limits; Compaction characteristics; Natural soils; Percentage fines Description An account of the resource The behaviour of fine-grained soils can be attributed to their mineral composition and the amount of fines present in them. The present study aims to determine the effect of mineral composition and quantity of fines on the Atterberg limits and compaction characteristics and to determine the correlation between them. Two types of fine-grained artificial soil mixtures were prepared in the laboratory representing kaolinitic and montmorillonitic mineral compositions.The amount of fines was varied at 10% intervals, from 50 to 100%. The Atterberg limits like liquid limit, plastic limit, shrinkage limit, and compaction characteristics like maximum dry density (MDD) and optimum moisture content (OMC) for two compaction energy levels, i.e. standard proctor (SP) and modified proctor (MP) tests, were determined. The correlations were developed between percentage fines and Atterberg limits and similarly between percentage fines, Atterberg limits, and compaction characteristics for artificial mix proportions. The developed correlations were used to predict the properties of natural soil samples, and the predicted and actual values are compared. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Yogeshraj Urs C.; Prasanna H.S. Source A related resource from which the described resource is derived Lecture Notes in Civil Engineering, Vol-296, pp. 141-152. 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/10.1007/978-981-19-6513-5_12" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-6513-5_12</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144185050&amp;doi=10.1007%2F978-981-19-6513-5_12&amp;partnerID=40&amp;md5=dc2287cddba0010d599f84a83a85d0b2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144185050&amp;doi=10.1007%2f978-981-19-6513-5_12&amp;partnerID=40&amp;md5=dc2287cddba0010d599f84a83a85d0b2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23662557; ISBN: 978-981196512-8 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 Yogeshraj Urs C., Department of Civil Engineering, The National Institute of Engineering, Mysuru, 570008, India, Department of Civil Engineering, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, 560074, India; Prasanna H.S., Department of Civil Engineering, The National Institute of Engineering, Mysuru, 570008, 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 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 Yogi, Kottala Sri; Dankan Gowda, V.; Roshani, Puja; Shankar, Ch; Kumar, G L N Sravan; Murthy, C. Ravindra Title A name given to the resource A Novel Framework for Integrating Machine Learning in CSR to Accelerate Sustainability in the Indian Automobile Sector 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 Proceedings of the 7th International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2025;pp.836-843 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICIDCA66325.2025.11280471" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIDCA66325.2025.11280471</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105031444553?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031444553?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 Yogi K.S., Symbiosis Institute of Business Management Hyderabad Symbiosis International University, Department of Operations, Pune, India; Dankan Gowda V., Bms Institute of Technology and Management, Department of Electronics and Communication Engineering, Karnataka, Bangalore, India; Roshani P., Christ University, Department of Commerce, Karnataka, Bangalore, India; Shankar C., Gitam (Deemed to Be) University, Gitam School of Business, Hyderabad, India; Kumar G.L.N.S., Malla Reddy College of Engineering and Technology [ M R C e T], Department of Mba, Telangana, Hyderabad, India; Murthy C.R., Mohan Babu University, School of Engineering, Department of Ece, Andrapradesh, Tirupati, India Description An account of the resource This paper aims at determining the suitability of using machine learning in CSR in enhancing sustainability of the Indian automobile industry. Prominent automobile companies are known to be major sources of environmental pollution together with wastage of various natural resources. There is a challenge of incorporating sustainability policies in the sector due to the rising regulation and consumers' awareness. Machine learning contains new approaches to managing resources more effectively, minimizing emissions and providing transparency of goods to clients. This study scrutinizes the previous literature, outlines the machine learning-based framework system of CSR activities, and validates the applicability of the system using case studies and qualitative data. The results show that learning from data can improve sustainability at an extensive scale and that the changes are sustainable and financially advantageous. 2025 IEEE. Subject The topic of the resource Corporate Social Responsibility (CSR); Environmental Impact; Green Technology; Indian Automobile Sector; Machine Learning; Resource Optimization; Supply Chain Transparency; Sustainability Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833151414-3; 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 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 Text Summarization Techniques for Kannada Language Subject The topic of the resource Abstractive; Extractive; LSTM; ROUGE; Text processing; TF-IDF Description An account of the resource Text Summarization is summarizing the original text document into a shorter description. This short version should retain the meaning and information content of the original text document. A concise summary can help humans quickly understand a large original document better in a short time. Summarization can be used in many text documents, such as reviews of books, movies, newspaper articles, content, and huge documents. Text summarization is broadly classified into extractive Text Summarization (ETS) and Abstractive Text Summarization (ATS). Even though more research works are carried out using extractive methods, meaningful summaries can be attained using abstractive summary techniques, which are more complex. In Indian languages, very few works are carried out in abstract summarization, and there is a high need for research in this area. The paper aims to generate extractive and abstractive summaries of the text by using deep learning and extractive summaries and comparisons between them in the Kannada language. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Yogish D.; Jalapur S.; Yogisha H.K.; Mithun B.N. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-1121 LNNS, pp. 107-117. 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/10.1007/978-981-97-7423-4_9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-7423-4_9</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213048008&amp;doi=10.1007%2F978-981-97-7423-4_9&amp;partnerID=40&amp;md5=ff4c54e527e85cf982e24531c8839766" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213048008&amp;doi=10.1007%2f978-981-97-7423-4_9&amp;partnerID=40&amp;md5=ff4c54e527e85cf982e24531c8839766</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981977422-7 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 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 Yogish D., CHRIST University, Karnataka, Bengaluru, India; Jalapur S., CHRIST University, Karnataka, Bengaluru, India; Yogisha H.K., Ramaiah Institute of Technology, Karnataka, Bengaluru, India; Mithun B.N., CHRIST University, Karnataka, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications 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/. Creator An entity primarily responsible for making the resource Yogish, Deepa; Bharat, Suchak Pratik; Reddy, Shashank; Ramachandran, Siddharth; Yagnik, Pihoo Title A name given to the resource Transforming Teletherapy: Using Transfer Learning and NLP for Improved Mental Health Care 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 Healthcare 5.0: AI Driven Workspace in Sustainable Telehealth;pp.61-81 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-09582-4_3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-09582-4_3</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032061703?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032061703?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 Yogish D., Department of CSE, School of Engineering and Technology, Christ University, Bengaluru, India; Bharat S.P., Department of CSE (AIML), School of Engineering and Technology, Christ University, Bengaluru, India; Reddy S., Department of CSE (AIML), School of Engineering and Technology, Christ University, Bengaluru, India; Ramachandran S., Department of CSE (AIML), School of Engineering and Technology, Christ University, Bengaluru, India; Yagnik P., Department of CSE (AIML), School of Engineering and Technology, Christ University, Bengaluru, India Description An account of the resource The increasing reliance on tele-therapy for mental health support highlights the need for advanced methodologies to improve diagnostic precision and patient outcomes. This study explores the transformative potential of transfer learning in natural language processing (NLP) to enhance the detection of mental health conditions during tele-therapy sessions. Leveraging a dataset sourced from mental health-related subreddits, which includes conversations mapped to five target categories (Stress, Depression, Bipolar Disorder, Personality Disorder, and Anxiety), we fine-tuned a pre-trained BERT model for multi-class classification. Our study's results highlight significant performance enhancements achieved through the implementation of transformer-based models. The proposed framework achieved an accuracy of 83%, with macro average precision, recall, and F1-score values of 0.84, 0.83, and 0.83, respectively. Class-specific analysis further underscores the model's robustness, with precision ranging from 0.75 to 0.92 and recall values exceeding 0.80 for most categories. These outcomes significantly outperform traditional machine learning models such as Random Forest (accuracy: 72.65%) and Support Vector Machines (accuracy: 69.71%), demonstrating the superior capacity of BERT to capture complex linguistic patterns and semantic nuances in patient interactions. This research underscores the transformative role of transfer learning in NLP applications for tele-therapy, offering a scalable and precise solution for mental health assessment and paving the way for personalized, AI-driven interventions. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource BERT; Mental health; Natural Language Processing (NLP); Tele-Therapy; Transfer Learning; Transformer-based Models Publisher An entity responsible for making the resource available Springer Nature Relation A related resource ISBN: 978-303209582-4; 978-303209581-7; Language A language of the resource English Type The nature or genre of the resource Book chapter 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 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 Perception to Control: End-to-End Autonomous Driving Systems Subject The topic of the resource Autonomous driving; CNN; Deep learning; End-to-end systems Description An account of the resource End-to-end autonomous driving systems have garnered a lot of attention in recent years, and researchers have been exploring different ways to make them work. In this paper, we provide an overview of the field with a focus on the two main types of systems: those that use only RGB images and those that use a combination of multiple modalities. We review the literature in each area, highlighting the strengths and limitations of each approach. We also discuss the challenges of integrating these systems into a complete end-to-end autonomous driving pipeline, including issues related to perception, decision-making, and control. Lastly, we identify areas where more research is needed to make autonomous driving systems work better and be safer. Overall, this paper provides a comprehensive look at the current state-of-the-art in end-to-end autonomous driving, with a focus on the technical challenges and opportunities for future research. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Yoshita; Jatain A.; Manju; Kumar S. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-968 LNNS, pp. 447-454. 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/10.1007/978-981-97-2079-8_34" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-2079-8_34</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194078866&amp;doi=10.1007%2F978-981-97-2079-8_34&amp;partnerID=40&amp;md5=4e4599686f9f1b5b1845cf63a5362c1d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194078866&amp;doi=10.1007%2f978-981-97-2079-8_34&amp;partnerID=40&amp;md5=4e4599686f9f1b5b1845cf63a5362c1d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981972078-1 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 Yoshita, Department of Computer Science and Engineering, Amity University, Haryana, Gurugram, India; Jatain A., Department of Computer Science and Technology, Manav Rachna University, Faridabad, India; Manju, Department of Computer Science and Engineering and Information Technology Jaypee Institute of Information Technology, Noida, India; Kumar S., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Kengeri Campus, Karnataka, Bangalore, 560074, India