307 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 Antecedents of brand love leading to purchase intention towards refurbished video game consoles Subject The topic of the resource adoption determinants; brand love; environmental involvement; purchase intention; refurbished video game consoles; social influence Description An account of the resource This paper examines different constructs that influence purchase intention of refurbished video game consoles to assess its multi-factorial association with brand love. The data was collected from video game console cafes in the cities of Bangalore and Pune, India. The findings demonstrate that adoption determinants and social influence have a positive influence on brand love, while notably, environmental involvement has a positive influence on an individuals purchase intention. Brand love would not singularly influence positive purchase intention in the context of refurbished video game consoles. The paper clarifies that brand love alone cannot influence the purchasing decision of an individual in the context of refurbished video game consoles, the companies selling or remanufacturing these products can benefit by advertising these products as being environmentally involved. This is the first paper that examines the effects of brand love and purchase intentions in the context of refurbished video game consoles. Copyright 2023 Inderscience Enterprises Ltd. Creator An entity primarily responsible for making the resource Kancherla A.; George J.P.; Godwin B.J. Source A related resource from which the described resource is derived International Journal of Internet Marketing and Advertising, Vol-19, No. 45750, pp. 286-304. Publisher An entity responsible for making the resource available Inderscience Publishers 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/10.1504/IJIMA.2023.133312" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJIMA.2023.133312</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172898533&doi=10.1504%2FIJIMA.2023.133312&partnerID=40&md5=d91acdce661d5c97977615023c92bb0d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172898533&doi=10.1504%2fIJIMA.2023.133312&partnerID=40&md5=d91acdce661d5c97977615023c92bb0d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 14775212 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 Kancherla A., School of Business and Management, CHRIST (Deemed to be University), Pune Lavasa Campus, Maharashtra, India; George J.P., School of Business and Management, CHRIST (Deemed to be University), Pune Lavasa Campus, Maharashtra, India; Godwin B.J., School of Business and Management, CHRIST (Deemed to be University), Pune Lavasa Campus, Maharashtra, 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 Editorial Faculty Publications- Editorial 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 Kanchi, Suvardhan; Bathinapatla, Ayyappa; Varghese, Anitha; Mdluli, Phumlane Selby Title A name given to the resource Preface 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 Nano-Biosensor Technologies for Diagnosis of Infectious Diseases;pp.xv-xvi Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394287697.fmatter" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394287697.fmatter</a> <a href="https://www.scopus.com/pages/publications/105010100141?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105010100141?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 Kanchi S., Dept. of Chemistry, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Bathinapatla A., Dept. of Chemistry, CMRIT, Bangalore, India; Varghese A., Dept. of Chemistry, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Mdluli P.S., Dept. of Chemistry, Durban University of Technology, Durban, South Africa Description An account of the resource [No abstract available] Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139428769-7; 978-139428766-6; Language A language of the resource English Type The nature or genre of the resource Editorial 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 Book Faculty Publications- Book 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 Kanchi, Suvardhan; Bathinapatla, Ayyappa; Varghese, Anitha; Mdluli, Phumlane Selby Title A name given to the resource Nano-biosensor technologies for diagnosis of infectious diseases 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 Nano-Biosensor Technologies for Diagnosis of Infectious Diseases;pp.1-491 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/9781394287697" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781394287697</a> <a href="https://www.scopus.com/pages/publications/105010162937?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105010162937?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 Kanchi S., Dept. of Chemistry, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Bathinapatla A., Dept. of Chemistry, CMRIT, Bangalore, India; Varghese A., Dept. of Chemistry, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Mdluli P.S., Dept. of Chemistry, Durban University of Technology, Durban, South Africa Description An account of the resource The book offers a thorough exploration of revolutionary nano-biosensor technologies that enables rapid, accurate detection of infectious diseases, critical for effective disease management in today's world. Nano-Biosensor Technologies for Diagnosis of Infectious Diseases delves into the cutting-edge developments in nano-biosensor technology, a transformative innovation for the field of medical diagnostics. Nano-biosensors integrate nanomaterials like nanoparticles, nanowires, and nanotubes with biological recognition elements such as antibodies, nucleic acids, or enzymes to create highly sensitive and specific detection systems. These sensors exploit unique properties of nanomaterials to detect minute quantities of pathogens or biomarkers with remarkable accuracy, enabling early diagnosis and monitoring of infectious diseases. The integration of electrochemical, optical, and piezoelectric detection mechanisms further enhances the versatility and efficiency of these nano-biosensors, allowing for rapid, real-time analysis that is crucial for effective disease management. In the context of infectious diseases, nano-biosensors become particularly significant, as they can facilitate point-of-care testing (POCT), offering rapid and portable diagnostic solutions. This capability is invaluable in resource-limited settings and during outbreaks where traditional laboratory infrastructure may be lacking. The COVID-19 pandemic underscores the importance of swift and accurate diagnostic tools, spurring accelerated innovation and commercialization efforts in this domain. Nano-biosensors are now being developed and deployed to detect a wide range of pathogens with high sensitivity, providing a powerful tool in the global fight against infectious diseases. Nano-Biosensor Technologies for Diagnosis of Infectious Diseases provides a comprehensive overview of these technological advancements, exploring their applications, challenges, and future directions in the diagnosis and management of infectious diseases. 2025 Scrivener Publishing LLC. All rights reserved. Publisher An entity responsible for making the resource available wiley Relation A related resource ISBN: 978-139428769-7; 978-139428766-6; Language A language of the resource English Type The nature or genre of the resource Book 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 Book Book Faculty Publications- Book 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 Bardic Destinies: A Comparative Study of European Poetic and Indian Kavya-Itihasa Tradition Description An account of the resource This volume critically explores the cultural significance and fate of the literary in the European and the Indian traditions as it traces the history of the reception of works that have had a deep hold on the lives and sensibilities of people across time and cultures. The book grapples with three major concepts in the humanitiesthe literary, the philosophical/theological and the historical. It looks at Homers reception by Plato; Virgils reception by Christianity; the many responses that The Mahabharata has received over centuries and across cultures in India; and the reception of Kumaravyasas Kumaravyasabharata, among other works, and analyses the understanding of truth, time and history that influence the reading of these works in different times and cultural contexts. Part of the Critical Humanities across Cultures series, this book will be useful for scholars and researchers of philosophy, literature, history, comparative literature, cultural studies and post-colonial studies. 2024 Krishna Kanchith R. Creator An entity primarily responsible for making the resource Kanchith K.R. Source A related resource from which the described resource is derived Bardic Destinies: a Comparative Study of European Poetic and Indian Kavya-Itihasa Tradition, pp. 1-161. Publisher An entity responsible for making the resource available Taylor and Francis 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/10.4324/9781003316046" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003316046</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176374886&doi=10.4324%2F9781003316046&partnerID=40&md5=0efe184c24e4e0e950cb61002ca2f1f2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176374886&doi=10.4324%2f9781003316046&partnerID=40&md5=0efe184c24e4e0e950cb61002ca2f1f2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100380059-0; 978-103206623-3 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 Book Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kanchith K.R., Department of English and Cultural Studies, 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 A study on "student preferece towards the use of Edmodo as a learning platfrom to create responsible learning environment" / Subject The topic of the resource Social media networking Description An account of the resource Procedia Social and Behavioral Sciences, Vol.144, pp.142-148, ISSN No: 1877-0428. Creator An entity primarily responsible for making the resource Kandappan Balasubramanian, Jaykumar V and Leena Nitin Fukey Source A related resource from which the described resource is derived <a href="https://www.sciencedirect.com/science/article/pii/S1877042814042396" target="_blank" title="A study on "student preferece towards the use of Edmodo as a learning platfrom to create responsible learning environment"" rel="noreferrer noopener">https://www.sciencedirect.com/science/article/pii/S1877042814042396</a> Publisher An entity responsible for making the resource available Elsevier Date A point or period of time associated with an event in the lifecycle of the resource 2014-01-05 Type The nature or genre of the resource English Identifier An unambiguous reference to the resource within a given context Journal Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Effects of bio-flocculated algae on the growth, digestive enzyme activity and microflora of freshwater fish Catla catla (Hamilton 1922) Subject The topic of the resource Artemia franciscana; Catla catla; flocculated algae; growth parameters; intestinal microflora; nutritional indices Description An account of the resource In numerous ways, diets incorporating probiotics are beneficial to host animals. This study was conducted to evaluate the influence of bio-flocculated freshwater algae Chlorella vulgaris on the freshwater fish Catla catla. For the process of flocculating algae, probiotics Lactobacillus acidophilus (10307 MTCC) and Bacillus subtilis (MTCC 441) were used. The experimental fish were fed with Artemia franciscana enriched with flocculated algae for 60days. A control group was fed with unenriched A. franciscana. After the experimental period, there was a significant decrease in anaerobic bacteria and a significant colonization of candidate probiotics in guts of fish fed with flocculated algae-enriched Artemia. This treatment group also had a better growth performance with a higher average body length and weight (8.70.3cm, 5.830.9g) and survival % (981.02). High protease (7.8mg/protein?1) and lipase (2.56 mg/protein?1) activity were also found in the enriched A. franciscana-fed fish group. Comparatively, higher protein, lipid and PUFA/HUFA contents were also reported in this treatment group. The study found that flocculated algae-enriched A. franciscana has a positive impact on gut microflora, growth parameters and survival as compared to the unenriched group, and hence, the flocculated algae serve a dual purpose in rearing of C. catla. This study supports the inference that a bio-flocculated algae-incorporated diet is a preferable method for larval rearing aquaculture. 2020 John Wiley & Sons Ltd Creator An entity primarily responsible for making the resource Kandathil Radhakrishnan D.; Velayudhannair K.; Schmidt B.V. Source A related resource from which the described resource is derived Aquaculture Research, Vol-51, No. 11, pp. 4533-4540. Publisher An entity responsible for making the resource available Blackwell Publishing Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1111/are.14798" target="_blank" rel="noreferrer noopener">https://doi.org/10.1111/are.14798</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088832085&doi=10.1111%2Fare.14798&partnerID=40&md5=8610ad73ed48eacb04cf6436150a24e0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088832085&doi=10.1111%2fare.14798&partnerID=40&md5=8610ad73ed48eacb04cf6436150a24e0</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 1355557X; CODEN: AQREF 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 Kandathil Radhakrishnan D., School of Ocean Science and Technology, Kerala University of Fisheries and Ocean Studies, Cochin, Kerala, India; Velayudhannair K., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Schmidt B.V., Department of Biological and Environmental Sciences, Texas AM University Commerce, TX, United States Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Kandi, Yash; Srivastava, Durgesh; Logeshwaran, J.; Dhanasekaran, S.; Sama, Mukhtar; Garg, Amit Title A name given to the resource Explainable AI for Secure and Trustworthy Autonomous Network Management 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 - 2025 IEEE 1st International Conference on Smart Innovations in Systems, Infrastructure, Mechanical, Power, AI and Computing Technologies, SISIMPACT 2025;pp.902-906 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SISIMPACT67725.2025.11439829" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SISIMPACT67725.2025.11439829</a> <a href="https://www.scopus.com/pages/publications/105037465409?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037465409?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 Kandi Y., Manipal University, Jaipur, Department of Computer and Communication Engineering, Rajasthan, Jaipur, India; Srivastava D., Chitkara University, Punjab and Faculty of Computing and IT, Sohar University, DCSE, Oman; Logeshwaran J., Christ University, Department of Computer Science, Karnataka, Bengaluru, India; Dhanasekaran S., Sri Eshwar College of Engineering, Department of Electronics and Communication Engineering, Tamilnadu, Coimbatore, India; Sama M., Marwadi University, Department of Mechanical Engineering, Gujarat, Rajkot, India; Garg A., Manipal University Jaipur, Department of Computer Science and Engineering, Rajasthan, Jaipur, India Description An account of the resource Rise of AI-driven autonomous networks for managing complex, dynamic infrastructures. While AI optimizes performance, it acts as a black box. This lack of transparency undermines trust and security, making it challenging to validate decisions, detect adversarial attacks, and understand why an AI model made a specific routing, security, or resource allocation decision. Security blind spots face significant challenges in detecting subtle adversarial manipulations or policy exploits because the reasoning behind the model's decisions is hidden. Additionally, poor diagnosability occurs when a network fault or performance degradation occurs, making root cause analysis slow and complex. Hence, the network operators are hesitant to cede control to systems whose actions they cannot verify or audit. Explainable AI (XAI) is critical for bridging this gap, ensuring management decisions are transparent, interpretable, and defensible. The proposed model makes real-Time management decisions. This model uses post-hoc techniques to generate explanations for each decision. It presents actionable insights and cross-references explanations against security policies and known threat patterns to flag anomalous reasoning. 2025 IEEE. Subject The topic of the resource Autonomous Network Management; Cybersecurity; Explainable AI; Interpretability; Trustworthy AI Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833155787-4; 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 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 Kandpal, Saumya Raman; Giri, Pratibha Title A name given to the resource Leveraging gamification in the metaverse: Strategies for consumer engagement, innovation, and problem-solving across fashion industries 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 Navigating AI and the Metaverse in Scientific Research;pp.449-473 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-0340-6.ch022" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0340-6.ch022</a> <a href="https://www.scopus.com/pages/publications/105005388420?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105005388420?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 Kandpal S.R., Christ University, India; Giri P., Christ University, India Description An account of the resource As the world adapted during the pandemic, virtual platforms became groundbreaking in terms of popularity, which brought forth the Metaverse, a transformative digital universe. This development is blurring the lines between gaming and the consumer internet and providing immersive, emotional, and socialized experiences. The variables driving deeper connections are technology readiness, user experience, and social influences. This study explores the effective use of animated agents in VR as an advertising strategy, linking findings to existing research. Much attention is given to gamification and VR, but little focus exists on how these experiences resonate with India's unique cultural context. The integration of Indian traditions into the Metaverse can revolutionize brand engagement, reshaping consumer perceptions and interactions. The paper discusses consumer engagement, readiness, and problem- solving, and it is based on the potential of culturally aligned VR experiences to transform industries, enhance connections, and create new avenues for brand immersion in the digital era. 2025, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833730342-0; 979-833730340-6; 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 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 Detecting Fake Information Dissemination using Leveraging Machine Learning and DRIMUX with B-LSTM Subject The topic of the resource Accuracy; B-LSTM; DRIMUX; Fake Information Dissemination Detection; Machine Learning Description An account of the resource Information integrity and public confidence are seriously threatened by the rapid expansion of fake news and misinformation that has resulted from the online broadcast of information. This work focuses on the detection of fraudulent information propagation utilizing machine learning techniques and the Digital Reputation and Influence Measurement Unit (DRIMUX) in order to address this problem. The use of Bidirectional Long Short-Term Memory (B-LSTM) networks into the detection process is something we really advocate. B-LSTM enables the capture of contextual dependencies from both past and future time steps, enhancing the understanding of sequential data. Additionally, DRIMUX provides reputation and influence measurements to assess the credibility of information sources. Experimental analyses on various datasets reveal the promising performance of the suggested methodology, highlighting its potential in preventing the spread of false information and protecting the veracity of digital information. 2024, Ismail Saritas. All rights reserved. Creator An entity primarily responsible for making the resource Kaneti V.R.; Venkatesan M.; Sharma H.; Bodhankar A.; Bajaj R.; Ganesh Kumar R.; Pokhariya H.S.; Deepak A. Source A related resource from which the described resource is derived International Journal of Intelligent Systems and Applications in Engineering, Vol-12, No. 5s, pp. 91-100. Publisher An entity responsible for making the resource available Ismail Saritas 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179944683&partnerID=40&md5=d756698a7a7e6a61d714af6897078377" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179944683&partnerID=40&md5=d756698a7a7e6a61d714af6897078377</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21476799 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 Kaneti V.R., Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Telangana, Hyderabad, India; Venkatesan M., Dr. D.Y. Patil Institute of Technology, Pune-18, Pimpri, India; Sharma H., Computer Engineering and Applications, GLA University, Mathura, India; Bodhankar A., Department of Decision Sciences, Dr. Ambedkar Institute of Management Studies and Research, Maharashtra, India; Bajaj R., NB Global University, Rajasthan, Bikaner, India; Ganesh Kumar R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), School of Engineering and Technology, Kanminike, Bangalore, India; Pokhariya H.S., Department of Computer Science & Engineering, Graphic Era Deemed to be University, Uttarakhand, Dehradun, India; Deepak A., Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Tamilnadu, Chennai, 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 Kang, Beomsoo; Kim, Ye-Won; Lee, Han-Sol; Han, Jong-Eun; Murthy, Hosakatte Niranjana; Kim, Yae Jin; Park, Pil Man; Park, So-Young Title A name given to the resource Effects of light-emitting diode (LED) light sources on in vitro protocorm-like body (PLB) proliferation, plantlet regeneration, and ex vitro acclimatization in Cymbidium Snow Pearl 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 Horticulture Environment and Biotechnology; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s13580-026-00819-x" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s13580-026-00819-x</a> <a href="https://www.scopus.com/pages/publications/105040534912?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105040534912?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 Kang B., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea; Kim Y.-W., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea; Lee H.-S., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea; Han J.-E., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea, Biological Resource Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), 181 Ipsin-gil, Jeonbuk, 56212, South Korea; Murthy H.N., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea, Department of Life Sciences, Christ University, Bengaluru, 560029, India; Kim Y.J., National Institute of Horticultural and Herbal Science, Rural Development Administration, 385 Seodun-ro, Gyeonggi-do, Suwon-si, South Korea; Park P.M., National Institute of Horticultural and Herbal Science, Rural Development Administration, 385 Seodun-ro, Gyeonggi-do, Suwon-si, South Korea; Park S.-Y., Department of Horticultural Science, Division of Animal, Horticultural and Food Sciences, Chungbuk National University, Cheongju, 28644, South Korea Description An account of the resource One of the key environmental elements that influences plant growth in vitro is light quality. Currently, a variety of horticultural plants are regenerated in vitro using light-emitting diode (LED) light sources to produce healthy, high-quality plants that can adapt well to ex vitro transplantation conditions. Investigating the impact of various spectrum light sources at various phases of in vitro regeneration is essential, though. The objective of this research was to examine how red (R), blue (B), white (W), red plus blue (RB, 1:1), red, green (G), and blue (RGB, 1:1:1) LEDs affect the growth of protocorm-like bodies (PLBs), shoot regeneration, and the rooting stages of shoots. The findings showed that B-LEDs were accountable for PLB proliferation, whereas R-LEDs were responsible for increased shoot regeneration and improved growth matrices with shoots and plantlets as compared to other LED treatments. Plant height, leaf count, and dry matter percentage were all higher in the plantlets that were regenerated under R-LED. On the other hand, more root regeneration and longer roots were caused by the B-LED treatment. Plants cultivated under RB LEDs had greater levels of carotenoid pigments, total chlorophyll, chlorophyll a, and chlorophyll b. When compared to other treatments, photosynthetic fluorescence characteristics like maximum quantum yield of PSII (Fv/Fm), photochemical quenching coefficient (qP), relative electron transport in PSII (ETRII), and non-photochemical quenching (NPQ) were lower in plants cultivated under R-LED treatment. The best LED for in vitro Cymbidium Snow Pearl plant regeneration was as follows: The B-LED was good for PLB proliferation, the R-LED was appropriate during shoot regeneration, and the growth of plantlets, the physiological characteristics such as chlorophyll a, chlorophyll b, total chlorophyll, and carotenoid content and number of epidermal cells per unit area were optimum with the plants grown under RB LED light. The Author(s), under exclusive licence to Korean Society for Horticultural Science 2026. Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 22113452; 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 Kang, Beomsoo; Kim, Ye-Won; Murthy, Hosakatte Niranjana; Ho, Thanh-Tam; Yoon, Yeo-Joong; An, Hae-Ryun; Lee, Su-Young; Park, So-Young Title A name given to the resource Effects of citric acid, ascorbic acid, and polyvinylpyrrolidone in overcoming medium browning during micropropagation of Phalaenopsis univivace 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 Horticulture Environment and Biotechnology;Volume;66;Issue;5;pp.1175-1187 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s13580-025-00746-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s13580-025-00746-3</a> <a href="https://www.scopus.com/pages/publications/105013802919?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013802919?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 Kang B., Division of Animal, Horticultural and Food Sciences, Department of Horticultural Science, Chungbuk National University, Cheongju, 28644, South Korea; Kim Y.-W., Division of Animal, Horticultural and Food Sciences, Department of Horticultural Science, Chungbuk National University, Cheongju, 28644, South Korea; Murthy H.N., Division of Animal, Horticultural and Food Sciences, Department of Horticultural Science, Chungbuk National University, Cheongju, 28644, South Korea, Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India; Ho T.-T., Institute for Global Health Innovations, Duy Tan University, Hoa Khanh Nam Campus 120 Hoang Minh Thao, Da Nang, 550000, Viet Nam; Yoon Y.-J., YooniPlant Tech Co., Umseong, Chungbuk, 27660, South Korea; An H.-R., Floriculture Research Division, National Institute of Horticultural & Herbal Science, Wanju, 55365, South Korea; Lee S.-Y., Floriculture Research Division, National Institute of Horticultural & Herbal Science, Wanju, 55365, South Korea; Park S.-Y., Division of Animal, Horticultural and Food Sciences, Department of Horticultural Science, Chungbuk National University, Cheongju, 28644, South Korea Description An account of the resource The most significant issues in the early phases of plant tissue culture are the browning of the explant and media. The objective of this research was to determine how well citric acid (CTR, 20 and 40 mg L? 1), ascorbic acid (ASA, 200 and 400 mg L? 1), and polyvinylpyrrolidone (PVP, 20 and 40 mg L? 1) could help Phalaenopsis Univivace overcome medium browning during the stages of shoot multiplication (MS medium supplemented with 150 mL L? 1 coconut water, 10 mg L? 1 adenine sulfate, 1 mg L? 1 thidiazuron, and 15g L? 1 sucrose) and rooting of shoots (MS medium with 25 mL L? 1 coconut water, 1 mg L? 1 indole butyric acid, 15g L? 1 sucrose). Numerous metrics were estimated, including the number of shoots that were regenerated during the shoot regeneration stage, the number of roots that were regenerated during the shoot rooting stage, and a number of growth parameters. The quantity of carotenoid and chlorophyll pigments, PSII quantum yield (Fv/Fm), the effective PSII quantum yield (YII), and the non-photochemical quenching (NPQ) were also measured. Additionally, oxidative stress enzyme malonaldehyde (MDA) and preventive antioxidant enzymes including catalase (CAT), peroxidase (POD), and superoxide dismutase (SOD) were measured in regenerated shoots and plantlets. The results showed that the medium browning issues during the shoot and root regeneration stages were resolved by supplementing with CTR, ASA, and PVP. In terms of shoot regeneration, rooting of shoots, and enhancing shoot and plantlet growth metrics, 40 mg L? 1 CTR supplementation was determined to be superior overall. The Author(s), under exclusive licence to Korean Society for Horticultural Science 2025. Subject The topic of the resource Adsorbent; Antioxidants; In vitro regeneration; Orchid; Tissue culture Publisher An entity responsible for making the resource available Springer Relation A related resource ISSN: 22113452; 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 No Thesis Title A name given to the resource Adoption of enterprise risk management erm practices in the zimbabwean banking sector Subject The topic of the resource Management Studies Description An account of the resource Corporate failures that occurred in the mid-1990s as well as the global financial crisis that unfolded in the US in 2007 and subsequent banking crises in many countries underscored the need for banking institutions to develop and implement robust risk management systems and controls to prevent the occurrences of such crises. Enterprise risk management (ERM) has emerged as the best practice approach that provided banks with means for mitigating and controlling risks giving rise to such financial crises. Attempts have been made to find out the factors driving the implementation of ERM and the majority of these studies had conflicting newlineconclusions on the effect of some of these factors. Further, weaknesses were noted in variables used by researchers as proxies for ERM adoption. It was noted that several studies used the appointment of a chief risk officer as a variable representing ERM adoption while a number of other researchers focused on surveys or renowned frameworks such as COSO to ascertain the extent of adoption of ERM. These approaches however, had shortcomings. This study therefore sought to address some of the above gaps in literature. The purpose of this study is to determine the degree of adoption of ERM newlinepractices as well to examine factors (adequacy of risk governance structure, newlinequality of organizational culture, intensity of regulatory environment and size of the bank) influencing the adoption and implementation of ERM by banks in Zimbabwe. A mixed method approach was utilized in this study. The population of the study comprised of 18 commercial banks which have been operating in Zimbabwe since the adoption of the multi-currency system in 2009. Respondents for the study were selected using the purposive sampling approach. This was to ensure the respondents had the right experience and expertise to answer questions on enterprise risk management practices newlinewithin their respective banks. Creator An entity primarily responsible for making the resource Kanhai, Cosmas. 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 2016-01-01 Contributor An entity responsible for making contributions to the resource Ganesh, L and R, Muhwandavaka. 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/10603/443984" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/443984</a> https://archives.christuniversity.in/files/original/93aa98f676d25a313a3cd5bc69a4ba1f.pdf 084c846ad21645c4ceb6342d13bb5f4a 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 Adoption of enterprise risk management erm practices in the zimbabwean banking sector / Subject The topic of the resource Management Creator An entity primarily responsible for making the resource Kanhai, Cosmas. - 1148004 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 2016-12-28 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 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 Economic and Urban Dynamics: Investigating Socioeconomic Status and Urban Density as Moderators of Mobile Wallet Adoption in Smart Cities Subject The topic of the resource etc; Mobile wallet; Smart cities; Socio-economic; Urban density Description An account of the resource This research paper examines the complex correlation between socioeconomic factors, urban density, and the acceptance of mobile wallet technology in smart cities. The study investigates how socioeconomic status and urban density influence the adoption of mobile wallets. Smart cities have experienced a significant increase in the adoption of mobile payment solutions such as Apple Pay, and Google Pay, noted for their technological innovation and ability to enhance living standards. These digital payment platforms provide ease, security, and efficiency, revolutionizing how individuals engage in financial transactions and navigate urban environments. The study examines the many aspects that impact this phenomenon, focusing on the significance of comprehending how socioeconomic status and urban density influence the acceptance of mobile wallets. The study utilizes a meticulous research technique, which involves evaluating the reliability and validity of constructs, analyzing Heterotrait-Monotrait (HTMT) ratios, conducting tests for discriminant validity, and doing variance inflation factor (VIF) analysis. These measures are taken to ensure the strength and reliability of the report's conclusions. The research's importance is further supported by model fit statistics and hypothesis testing conducted through bootstrapping. The results emphasize that the inclusion of mobile wallet functions, the legal framework, and the development of smart city infrastructure have a substantial influence on the acceptance of mobile wallets. However, the impact of urban density on mobile wallet adoption is more intricate and multifaceted. This study provides significant insights into the dynamic field of technology uptake in urban regions, with implications for politicians, entrepreneurs, and urban planners seeking to promote financial inclusion and technological integration in smart cities. 2024 IEEE. Creator An entity primarily responsible for making the resource Kankariya R.; Salunkhe H.A.; Oza K. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 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/TQCEBT59414.2024.10545147" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545147</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204422201&doi=10.1109%2FTQCEBT59414.2024.10545147&partnerID=40&md5=bd669f089777b7e18b674a35799daf97" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204422201&doi=10.1109%2fTQCEBT59414.2024.10545147&partnerID=40&md5=bd669f089777b7e18b674a35799daf97</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 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 Kankariya R., Suryadatta Institute of Business Management and Technology, Pune, India; Salunkhe H.A., School of Business and Management, Christ University, Bangalore, India; Oza K., Information Research and Technology, SEF's Suryadatta College of Management, Pune, 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 Markov based genetic algorithm (M-GA): To mine frequent sub components from molecular structures Subject The topic of the resource Fitness function; Histogram; Markov model; Memetic Operator; Molecular substructure Description An account of the resource Processing the molecular compounds to identify the internal chemical structure is a challenging task in bio-chemical research. Popular approaches, mine the frequent subcomponents from the molecules with chemical and biological properties represented in the form of feature vector histogram. Though this helps to identify the absence or presence of mined feature, calculating the frequency of every frequent substructure involves sub graph isomorphism test which is an NP-Complete process. To overcome the above mentioned bottleneck we proposed Markov based Genetic algorithm (M-GA) in which the chemical descriptors were considered from two-dimensional representations of molecules that classify chemical compounds using mining significant substructure and generates the binary vector that generate pure active classes, singleton reactors, descriptor sets. This method scales down the process of mining substructures that are statistically significant from huge chemical databases. The results shows that the performance of proposed algorithm is improved compared to the existing algorithms. 2020, Research Trend. All rights reserved. Creator An entity primarily responsible for making the resource Kanmani P.; Prakasi O.S.G.; Jayapandian N. Source A related resource from which the described resource is derived International Journal on Emerging Technologies, Vol-11, No. 2, pp. 516-523. Publisher An entity responsible for making the resource available Research Trend Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084357037&partnerID=40&md5=26fa90ec2cd0a3ba53f060da00bce614" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084357037&partnerID=40&md5=26fa90ec2cd0a3ba53f060da00bce614</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9758364 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 Kanmani P., Department of Computer Science and Engineering, Christ (Deemed to be University), Bengaluru, Karnataka, India; Prakasi O.S.G., Department of Computer Science and Engineering, Christ (Deemed to be University), Bengaluru, Karnataka, India; Jayapandian N., Department of Computer Science and Engineering, Christ (Deemed to be University), Bengaluru, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Kanmani, G.; Vinoth, B.; Muruganandham, R.; Alagarsamy, S.V. Title A name given to the resource ELECTRIC EROSION MACHINING BEHAVIOR OF TITANIUM DIOXIDE PARTICLES REINFORCED WITH AL ALLOY COMPOSITE USING TOPSIS APPROACH 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 Surface Review and Letters;Issue;;Article No.;2650009; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1142/S0218625X26500095" target="_blank" rel="noreferrer noopener">https://doi.org/10.1142/S0218625X26500095</a> <a href="https://www.scopus.com/pages/publications/105019539489?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105019539489?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 Kanmani G., Department of Mechanical Engineering, Annai Mira College of Engineering and Technology, Tamil Nadu, Ranipet, 632517, India; Vinoth B., Department of Mechanical Engineering, Mangayarkarasi College of Engineering, Tamil Nadu, Madurai, 625402, India; Muruganandham R., School of Business and Management, Christ University, Karnataka, Bengaluru, 560 076, India; Alagarsamy S.V., Department of Mechanical Engineering, Mahath Amma Institute of Engineering and Technology, Tamil Nadu, Pudukkottai, 622101, India Description An account of the resource This research work describes the optimization of parameters in electric discharge machining (EDM) of AlFeSi (AA8011) alloy composite using the technique for order preference by similarity to ideal solution (TOPSIS) method. Initially, the AA8011 matrix alloy was synthesized with the addition of 10 wt.% TiO2 particles through the stir casting route. Scanning electron microscopy (SEM) was used to examine the morphology of the synthesized composite, which revealed that the TiO2 particles were evenly disseminated within the alloy. The machining factors, such as peak current (Ip), pulse-on time (Ton and pulse-o time (Toff), were chosen as input, whereas the material removal rate (MRR), the surface roughness (SR), and the tool wear rate (TWR) were selected as the output responses. According to the L9 (33array, the machining experiments were conducted using a brass (Br) electrode. By employing the TOPSIS method, the optimum combination of variables was determined. Based on the analysis, the Ip of 10 amps, Ton of 200 s, and Toff of 30 s provide the highest MRR (0.2379 g/min) with lower SR (3.284 m), and TWR (0.0258 g/min). ANOVA ndings exhibited that Ton was found to be the primary noteworthy factor contributing 50.67%, next by Toff (32.98%) and Ip (13.12%), respectively. Finally, the conrmation trials were carried out using the optimal parameters, which veried the predicted results. 2026 World Scientific Publishing Company. Subject The topic of the resource AA8011; ANOVA; EDM; Stir casting; TiO2; TOPSIS approach Publisher An entity responsible for making the resource available World Scientific Relation A related resource ISSN: 0218625X; CODEN: SRLEF 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 An Novel Cutting Edge ANN Machine Learning Algorithm for Sepsis Early Prediction and Diagnosis Subject The topic of the resource Accuracy; ANN; Classification; Machine Learning; Neural Networks Description An account of the resource Early detection and diagnosis of sepsis can significantly improve patient outcomes, but current diagnostic methods are limited. The problem addressed in this paper is the early detection and diagnosis of sepsis using machine learning algorithms. Sepsis is a life-threatening condition that can rapidly progress and cause organ failure, leading to increased mortality rates. Early detection and treatment of sepsis are critical for improving patient outcomes and reducing healthcare costs. However, sepsis can be challenging to diagnose, and existing methods have limitations in terms of accuracy and timeliness This research proposes a new cutting-edge Optimized Artificial Neural Network machine learning algorithm for sepsis early prediction and diagnosis. The proposed algorithm combines different data sources, including patient vital signs, laboratory results, and clinical notes, to predict the likelihood of sepsis development. The algorithm was evaluated on a large dataset of patient records and achieved promising results in terms of accuracy, Precision and Recall. The proposed algorithm can potentially serve as a valuable tool for clinicians in the early detection and diagnosis of sepsis, leading to better patient outcomes. 2023 American Institute of Physics Inc.. All rights reserved. Creator An entity primarily responsible for making the resource Kanna R.R.; Priya T.M.; Immanuel V.A.; Kirubanand V.B.; Senthilnathan T.; Rohini V. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-2909, 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/10.1063/5.0181885" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0181885</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179878686&doi=10.1063%2F5.0181885&partnerID=40&md5=18cfb15733598513772dfe4db5e8471b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179878686&doi=10.1063%2f5.0181885&partnerID=40&md5=18cfb15733598513772dfe4db5e8471b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0094243X; ISBN: 978-073544750-9 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 Kanna R.R., Department of Computer Science, CHRIST(Deemed to be University), Bangalore, India; Priya T.M., Department of Computer Science, CHRIST(Deemed to be University), Bangalore, India; Immanuel V.A., Department of Computer Science, CHRIST(Deemed to be University), Bangalore, India; Kirubanand V.B., Department of Computer Science, CHRIST(Deemed to be University), Bangalore, India; Senthilnathan T., Department of Computer Science, CHRIST(Deemed to be University), Bangalore, India; Rohini V., 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 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 AI-enabled risk identification and traffic prediction in vehicular Ad hoc Networks Description An account of the resource The proposed research presents a two-fold approach for advancing Vehicular Ad-Hoc Networks (VANETs). Firstly, it introduces a Residual Convolutional Neural Network (RCNN) architecture to extract real-time traffic data features, enabling accurate traffic flow prediction and hazard identification. The RCNN model, trained and tested on real- world data, outperforms existing models in both accuracy and efficiency, promising improved road safety and traffic management within VANETs. Secondly, the study introduces a Genetic Algorithm-enhanced Convolutional Neural Network (GACNN) routing algorithm, challenging traditional VANET routing methods with metaheuristic techniques. Experiments in various VANET network scenarios confirm GACNN's superior performance over existing routing protocols, marking a significant step toward more efficient and adaptive VANET traffic management. 2024 Author(s). Creator An entity primarily responsible for making the resource Kanna R.R.; Priya T.M.; Sivakumar V.; Nataraj C.; Musa A.I.A.; Devi M.R. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-3161, No. 1 Publisher An entity responsible for making the resource available American Institute of Physics 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/10.1063/5.0229499" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0229499</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203969723&doi=10.1063%2F5.0229499&partnerID=40&md5=75e8a9507ea50b888aeebf62ce66357f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203969723&doi=10.1063%2f5.0229499&partnerID=40&md5=75e8a9507ea50b888aeebf62ce66357f</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 Kanna R.R., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, India; Priya T.M., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, India; Sivakumar V., Faculty of Computing Engineering and Technology, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia; Nataraj C., Faculty of Computing Engineering and Technology, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia; Musa A.I.A., Department of Computer Science, College of Computer, Qassim University, Riyadh, Saudi Arabia; Devi M.R., School of Information Science, Presidency 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 Mitigating post-harvest losses through IoT-based machine learning algorithms in smart farming Description An account of the resource This research paper explores the transformative potential of Internet of Things (IoT) technology in mitigating the longstanding issue of post-harvest losses within the agriculture sector. These losses, which encompass both quantitative and qualitative deterioration of food commodities from harvest to consumption, have posed persistent challenges, resulting in economic losses and food wastage. By delving into the current landscape of post-harvest losses and the application of IoT technology, the paper offers valuable insights into how IoT can be harnessed to reduce these losses effectively. It not only highlights the benefits and existing IoT solutions but also addresses the inherent challenges, providing recommendations for their resolution. Moreover, the research introduces a machine learning-based model, specifically Random Forest ML, to identify and prevent losses in tandem with IoT devices, empowering farmers with timely alert messages for informed decision-making, thus fostering a more sustainable and efficient agricultural ecosystem. 2024 Author(s). Creator An entity primarily responsible for making the resource Kanna R.R.; Priya T.M.; Sivakumar V.; Nataraj C.; Thomas J. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-3161, No. 1 Publisher An entity responsible for making the resource available American Institute of Physics 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/10.1063/5.0229500" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0229500</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204010477&doi=10.1063%2F5.0229500&partnerID=40&md5=868f046d8561d500a5b299f2ac2dfb7e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204010477&doi=10.1063%2f5.0229500&partnerID=40&md5=868f046d8561d500a5b299f2ac2dfb7e</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 Kanna R.R., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, India; Priya T.M., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, India; Sivakumar V., School of Computing, Faculty of Computing Engineering and Technology, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia; Nataraj C., School of Engineering, Faculty of Computing Engineering and Technology, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia; Thomas J., Department of Sociology and Social Work, CHRIST (Deemed to Be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kanna, R. Kishore; Shoran, Preety; Yadav, Meenakshi; Ahmed, Mohammad Nadeem; Burje, Shrikant; Shukla, Garima; Sinha, Anurag; Hussain, Mohammad Rashid; Khalid, Saifullah Title A name given to the resource Improving EEG based brain computer interface emotion detection with EKO ALSTM model 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 Scientific Reports;Volume;15;Issue;1;Article No.;20727; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1038/s41598-025-07438-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41598-025-07438-z</a> <a href="https://www.scopus.com/pages/publications/105009607550?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009607550?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 Kanna R.K., Department of Biomedical Engineering, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Chennai, India; Shoran P., Department of Computer Science, CHRIST University, Bengaluru, India; Yadav M., Department of Information & Technology, Galgotias College of Engineering and Technology, Greater Noida, India; Ahmed M.N., Department of Computer Science, College of Computer Science, King Khalid University, 61421, Abha, Saudi Arabia; Burje S., Department of Electronics and Telecommunication Engineering, RSR Rungta College of Engineering and Technology, Bhilai, India; Shukla G., Jamia Millia Islamia, New Delhi, India; Sinha A., Tech School, Computer Science Department, ICFAI University, Jharkhand, Ranchi, India; Hussain M.R., Department of Business Informatics, College of Business, King Khalid University, Abha, 62217, Saudi Arabia; Khalid S., IBM Multi Activities Co. Ltd., Khartoum, Sudan Description An account of the resource Decoding signals from the CNS brain activity is done by a computer-based communication device called a BCI. In contrast, the system is considered compelling communication equipment enabling command, communication, and action without using neuromuscular or muscle channels. Various techniques for automatic emotion identification based on body language, speech, or facial expressions are nowadays in use. However, the monitoring of exterior emotions, which are easily manipulated, limits the applicability of these procedures. EEG-based emotion detection research might yield significant benefits for enhancing BCI application performance and user experience. To overcome these issues, this study proposed a novel EKO-ALSTM for emotion detection in EEG-based braincomputer interfaces. The proposed study comprises EEG-based signals that record the electrical activity of the brain connected to various emotional states, which are gathered as real-time acquired EEG signals for emotion detection. The data was pre-processed using a bandpass filter to remove unwanted frequency noise for the obtained data. Then, feature extraction is performed using DWT from pre-processed data. Specifically, the proposed approach is implemented using Python software. The proposed system and existing algorithms are compared using a variety of evaluation criteria, including specificity, F1 score, accuracy, recall or sensitivity, and positive predictive values or precision. The results demonstrated that the proposed method achieved better performance in EEG-based BCI emotion detection with an accuracy of 97.93%, a positive predictive value of 96.24%, a sensitivity of 97.81%, and a specificity of 97.75%. This study emphasizes that innovative approaches have significantly increased the accuracy of emotion identification when applied to EEG-based emotion recognition systems. Additionally, the findings suggest that integrating advanced machine learning techniques can further enhance the effectiveness and reliability of these systems in real-world applications, paving the way for more responsive and intuitive BCI technologies. The Author(s) 2025. Subject The topic of the resource Braincomputer interface (BCI); Discrete wavelet transform (DWT); Electroencephalogram (EEG); Emotion detection; Enhanced kookaburra optimized adjustable long short term memory (EKO-ALSTM) Publisher An entity responsible for making the resource available Nature Research Relation A related resource ISSN: 20452322; 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