68 20 11858 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource AI-Based Feature Extraction Approaches for Dual Modalities of Autism Spectrum Disorder Neuroimages Subject The topic of the resource Artificial Intelligence; Autism Spectrum Disorder; Feature Extraction; Functional MRI; MRI; Structural MRI Description An account of the resource High-dimensional data, lower detection accuracy, susceptibility to manual errors, and the requirement of clinical experts are some drawbacks of conventional classification models available for Autism Spectrum Disorder (ASD) detection. To address these challenges and explore the affiliated information from advanced imaging modalities such as Magnetic Resonance Imaging (MRI) in structural MRI (sMRI) and resting state-functional MRI (rs-fMRI), the study applied an Artificial Intelligence (AI) approach. In this context, AI is used to automate the feature extraction process, which is crucial in the interpretation of medical images for diagnosis. The work aims to apply AI-based techniques to extract the features and identify the impact of each feature in the Autism diagnosis. The morphometric features were extracted using sMRI images and rs-fMRI scans were employed to fetch functional connectivity features. Surface-based, region-based, and seed-based analyses are performed for the whole brain, followed by feature selection techniques such as Recursive Feature Elimination (RFE) with correlation, Principal Component Analysis (PCA), Independent Component Analysis (ICA), and graph theory are implemented to extract and distinguish features. The effectiveness of the extracted features was measured as classification accuracy. Support Vector Machine (SVM) with RFE is the best classification model, with 88.67% accuracy for high-dimensional data. SVM is a supervised learning model that outperforms other classification models due to its capability to handle high-dimensional data with a larger feature set. Medical imaging modalities provide detailed insights and visual differences related to various cognitive conditions that must be recognized accurately for efficient diagnosis. The study presented an empirical analysis of various Feature extraction approaches and the significance of the extracted features in high-dimensional data scenarios for Autism classification. 2024 Meenakshi Malviya Chandra J and Nagendra N. This open-access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. Creator An entity primarily responsible for making the resource Malviya M.; Chandra J.; Nagendra N. Source A related resource from which the described resource is derived Journal of Computer Science, Vol-20, No. 11, pp. 1495-1503. Publisher An entity responsible for making the resource available Science Publications 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/10.3844/jcssp.2024.1495.1503" target="_blank" rel="noreferrer noopener">https://doi.org/10.3844/jcssp.2024.1495.1503</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205241551&doi=10.3844%2Fjcssp.2024.1495.1503&partnerID=40&md5=1ca6595019a37f260bae244ce847e7d8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205241551&doi=10.3844%2fjcssp.2024.1495.1503&partnerID=40&md5=1ca6595019a37f260bae244ce847e7d8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15493636 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 Malviya M., Department of Computer Science Christ, Deemed to be University, Bangalore, India; Chandra J., Department of Computer Science Christ, Deemed to be University, Bangalore, India; Nagendra N., 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 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 AI-based online interview bot with an interactive dashboard Description An account of the resource In recent years, video interviews have become increasingly popular in the recruitment process due to their convenience and efficiency. However, evaluating a candidates communication skills and perceived personality traits from a video interview can be challenging. The agent utilizes natural language processing and computer vision techniques to analyze the candidates verbal and nonverbal behavior during the interview. Specifically, the agent focuses on linguistic features such as fluency, grammar, and vocabulary, as well as nonverbal cues such as facial expressions and body language. Based on these features, the agent predicts the candidates communication skills and perceived personality traits. To validate the effectiveness of the agent, a Talk was conducted with a group of participants who completed video interviews with and without the agent. The results show that the agents predictions of communication skills and perceived personality traits are highly correlated with the ratings given by human evaluators. Additionally, the agent is able to provide valuable insights into the candidates performance that may not be immediately apparent to human evaluators. Overall, the intelligent video interview agent proposed here has the potential to improve the recruitment process by providing more accurate and objective evaluations of candidates communication skills and perceived personality traits. 2025 selection and editorial matter, A. Vadivel, K. Meena, P. Sumathy, Henry Selvaraj, P. Shanmugavadivu and Shaila S. G.; individual chapters, the contributors. Creator An entity primarily responsible for making the resource Sambandam R.K.; Vetriveeran D.; Jenefa J.; Balamurugan M.; Thaiyalnayaki S. Source A related resource from which the described resource is derived Interactive and Dynamic Dashboard: Design Principles, pp. 86-99. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003542735-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003542735-4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214638828&doi=10.1201%2F9781003542735-4&partnerID=40&md5=9250ac6797e0b30ad33823ef725fe76f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214638828&doi=10.1201%2f9781003542735-4&partnerID=40&md5=9250ac6797e0b30ad33823ef725fe76f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104025923-8; 978-103274597-8 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 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 Sambandam R.K., CHRIST (Deemed to be University), Bengaluru, India; Vetriveeran D., CHRIST (Deemed to be University), Bengaluru, India; Jenefa J., CHRIST (Deemed to be University), Bengaluru, India; Balamurugan M., CHRIST (Deemed to be University), Bengaluru, India; Thaiyalnayaki S., Bharath Institute of Higher Education and Research (Deemed to be University), 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 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 AI-based online proctoring: a review of the state-of-the-art techniques and open challenges Subject The topic of the resource Artificial intelligence; Covid-19; Machine learning; Online monitoring; Pandemic; Testers Description An account of the resource So far, this pandemic has severely affected the education sector. As education undergoes a brilliant transformation with advancing technology, the digital acquisition of knowledge has yet to find widespread use - virtual exams. Faraway Proctoring offers several advantages of using manual and primarily based technology. Although this allows students to take an exam in any field with specific technical requirements, it eliminates the need for physical research centers. It is cost-effective and easy to plan, which can be challenging to manage, especially during aggressive trials. Finally, the paper discusses the performance characteristics of different styles of web-based inspection systems, along with their limitations and challenges. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Creator An entity primarily responsible for making the resource Aurelia S.; Thanuja R.; Chowdhury S.; Hu Y.-C. Source A related resource from which the described resource is derived Multimedia Tools and Applications, Vol-83, No. 11, pp. 31805-31827. Publisher An entity responsible for making the resource available Springer 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/s11042-023-16714-x" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11042-023-16714-x</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171432508&doi=10.1007%2Fs11042-023-16714-x&partnerID=40&md5=368110be4a515d9bae419048031224d2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171432508&doi=10.1007%2fs11042-023-16714-x&partnerID=40&md5=368110be4a515d9bae419048031224d2</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 13807501; CODEN: MTAPF 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 Aurelia S., Department of Computer Science, CHRIST Deemed University, Bangalore, India; Thanuja R., Department of CSE, Sastra Deemed University, SRC Campus, Kumbakonam, India; Chowdhury S., Department of Computer Science and Engineering, Sreenivasa Institute of Technology and Management Studies, Andra Pradesh, Chittoor, India; Hu Y.-C., Department of Computer Science, Tunghai University, Taichung City, Taiwan, Department of Computer Science and Information Management, Providence University, Taichung City, Taiwan Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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-based Power Screening Solution for SARS-CoV2 Infection: A Sociodemographic Survey and COVID-19 Cough Detector Subject The topic of the resource Artificial Intelligence; Coronavirus (SARS -CoV2); Machine Learning; Pathomorphological Variations; Power Screening Solutions Description An account of the resource Globally, the confirmed coronavirus (SARS-CoV2) cases are being increasing day by day. Coronavirus (COVID-19) causes an acute infection in the respiratory tract that started spreading in late 2019. Huge datasets of SARS-CoV2 patients can be incorporated and analyzed by machine learning strategies for understanding the pattern of pathological spread and helps to analyze the accuracy and speed of novel therapeutic methodologies, also detect the susceptible people depends on their physiological and genetic aspects. To identify the possible cases faster and rapidly, we propose the Artificial Intelligence (AI) power screening solution for SARS- CoV2 infection that can be deployable through the mobile application. It collects the details of the travel history, symptoms, common signs, gender, age and diagnosis of the cough sound. To examine the sharpness of pathomorphological variations in respiratory tracts induced by SARS-CoV2, that compared to other respiratory illnesses to address this issue. To overcome the shortage of SARS-CoV2 datasets, we apply the transfer learning technique. Multipronged mediator for risk-averse Artificial Intelligence Architecture is induced for minimizing the false diagnosis of risk-stemming from the problem of complex dimensionality. This proposed application provides early detection and prior screening for SARS-CoV2 cases. Huge data points can be processed through AI framework that can examine the users and classify them into "Probably COVID", "Probably not COVID"and "Result indeterminate". 2021 The Authors. Published by Elsevier B.V. Creator An entity primarily responsible for making the resource Sadhana S.; Pandiarajan S.; Sivaraman E.; Daniel D. Source A related resource from which the described resource is derived Procedia Computer Science, Vol-194, pp. 255-271. Publisher An entity responsible for making the resource available Elsevier B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.procs.2021.10.081" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.procs.2021.10.081</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121772522&doi=10.1016%2Fj.procs.2021.10.081&partnerID=40&md5=7bb8e43b57bea0d97f5613e9546f8298" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121772522&doi=10.1016%2fj.procs.2021.10.081&partnerID=40&md5=7bb8e43b57bea0d97f5613e9546f8298</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 18770509 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 Sadhana S., Department of CSE, Kalaignarkarunanidhi Institute of Technology, Coimbatore, India; Pandiarajan S., Department of CSE, Kalaignarkarunanidhi Institute of Technology, Coimbatore, India; Sivaraman E., Department of CSE, PES University, Bangalore, India; Daniel D., Department of CSE, 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 AI-based wavelet and stacked deep learning architecture for detecting coronavirus (COVID-19) from chest X-ray images Subject The topic of the resource Accuracy; COVID-19; DarkNet19; Data augmentation; Deep learning; Discrete wavelet transform; ResNet50; VGG19; WavStaCovNet-19; X-ray images; Xception Description An account of the resource A novel coronavirus (COVID-19), belonging to a family of severe acute respiratory syndrome coronavirus 2 (SARs-CoV-2), was identified in Wuhan city, Hubei, China, in November 2019. The disease had already infected more than 681.529665 million people as of March 13, 2023. Hence, early detection and diagnosis of COVID-19 are essential. For this purpose, radiologists use medical images such as X-ray and computed tomography (CT) images for the diagnosis of COVID-19. It is very difficult for researchers to help radiologists to do automatic diagnoses by using traditional image processing methods. Therefore, a novel artificial intelligence (AI)-based deep learning model to detect COVID-19 from chest X-ray images is proposed. The proposed work uses a wavelet and stacked deep learning architecture (ResNet50, VGG19, Xception, and DarkNet19) named WavStaCovNet-19 to detect COVID-19 from chest X-ray images automatically. The proposed work has been tested on two publicly available datasets and achieved an accuracy of 94.24% and 96.10% on 4 classes and 3 classes, respectively. From the experimental results, we believe that the proposed work can surely be useful in the healthcare domain to detect COVID-19 with less time and cost, and with higher accuracy. 2023 Elsevier Ltd Creator An entity primarily responsible for making the resource Soundrapandiyan R.; Naidu H.; Karuppiah M.; Maheswari M.; Poonia R.C. Source A related resource from which the described resource is derived Computers and Electrical Engineering, Vol-108 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.compeleceng.2023.108711" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.compeleceng.2023.108711</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153535053&doi=10.1016%2Fj.compeleceng.2023.108711&partnerID=40&md5=7b8a533c19c2f91829ef0aed2551f962" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153535053&doi=10.1016%2fj.compeleceng.2023.108711&partnerID=40&md5=7b8a533c19c2f91829ef0aed2551f962</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 457906; CODEN: CPEEB 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 Soundrapandiyan R., School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, 632014, India; Naidu H., ServiceNow, Telangana, Hyderabad, 500081, India; Karuppiah M., School of Computer Science and Engineering & Information Science, Presidency University, Karnataka, Bengaluru, 560064, India; Maheswari M., Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, 600119, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource AI-Based Yolo V4 Intelligent Traffic Light Control System Subject The topic of the resource artificial intelligence; intelligent monitoring; signal switching algorithm; Traffic jams; traffic light system; traffic management Description An account of the resource With the growing number of city vehicles, traffic management is becoming a persistent challenge. Traffic bottlenecks cause significant disturbances in our everyday lives and raise stress levels, negatively impacting the environment by increasing carbon emissions. Due to the population increase, megacities are experiencing severe challenges and significant delays in their day-to-day activities related to transportation. An intelligent traffic management system is required to assess traffic density regularly and take appropriate action. Even though separate lanes are available for various vehicle types, wait times for commuters at traffic signal points are not reduced. The proposed methodology employs artificial intelligence to collect live images from signals to address this issue in the current system. This approach calculates traffic density, utilizing the image processing technique YOLOv4 for effective traffic congestion management. The YOLOv4 algorithm produces better accuracy in the detection of multiple vehicles. Intelligent monitoring technology uses a signal-switching algorithm at signal intersections to coordinate time distribution and alleviate traffic congestion, resulting in shorter vehicle waiting times. 2022 Boppuru Rudra Prathap et al., published by Sciendo. Creator An entity primarily responsible for making the resource Prathap B.R.; Kumar K.P.; Chowdary C.R.; Hussain J. Source A related resource from which the described resource is derived Journal of Automation, Mobile Robotics and Intelligent Systems, Vol-16, No. 4, pp. 53-61. Publisher An entity responsible for making the resource available Sciendo 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/10.14313/jamris/4-2022/33" target="_blank" rel="noreferrer noopener">https://doi.org/10.14313/jamris/4-2022/33</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176244517&doi=10.14313%2Fjamris%2F4-2022%2F33&partnerID=40&md5=8f45c80533ae54fc5e66c176628c454f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176244517&doi=10.14313%2fjamris%2f4-2022%2f33&partnerID=40&md5=8f45c80533ae54fc5e66c176628c454f</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 18978649 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 Prathap B.R., Department of Computer Science and Engineering, Christ University, Karnataka, Bangalore, 560074, India; Kumar K.P., Department of Computer Science and Engineering, Christ University, Karnataka, Bangalore, 560074, India; Chowdary C.R., Department of Computer Science and Engineering, Christ University, Karnataka, Bangalore, 560074, India; Hussain J., Department of Computer Science and Engineering, Christ University, Karnataka, Bangalore, 560074, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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-Controlled Wind Turbine Systems: Integrating IoT and Machine Learning for Smart Grids Description An account of the resource Advances in renewable energy technologies are pivotal in addressing the challenges posed by the depletion of traditional energy sources and their associated environmental impacts. Among these, wind energy stands out as a promising avenue, with wind turbine farms proliferating globally. However, the unpredictable nature of wind and intricate interplay between turbines necessitate innovative solutions for efficient operation and maintenance. This paper reviews advancements in intelligent control systems, notably those proposed by Smart Wind technologies. These systems leverage a network of sensors and IoT devices to gather real-time data, such as wind speed, temperature, and humidity, to optimize turbine performance. A significant focus is on turbines employing doubly-fed induction generators, which offer benefits like adjustable speed and consistent frequency operation. Their integration into smart grids introduces challenges concerning power system dynamics'security and reliability. This review delves into the dynamics, characteristics, and potential instabilities of such integrations, emphasizing the uncertainties in wind and nonlinear load predictions. A noteworthy finding is the rising prominence of artificial intelligence, particularly machine and deep learning, in predictive diagnostics. These methodologies offer costeffective, accurate, and efficient solutions, holding potential for enhancing power system stability and accuracy in the smart grid context. The Authors, published by EDP Sciences, 2024. Creator An entity primarily responsible for making the resource Madeswaran A.; Bisht D.; Yuvaraj S.; Udayapal Reedy M.; Al-Attabi K.; Dhablia A. Source A related resource from which the described resource is derived E3S Web of Conferences, Vol-540 Publisher An entity responsible for making the resource available EDP Sciences 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/10.1051/e3sconf/202454003008" target="_blank" rel="noreferrer noopener">https://doi.org/10.1051/e3sconf/202454003008</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198053163&doi=10.1051%2Fe3sconf%2F202454003008&partnerID=40&md5=9660d3c6e2cf1b7cb9a4bdc5ec42e9d4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198053163&doi=10.1051%2fe3sconf%2f202454003008&partnerID=40&md5=9660d3c6e2cf1b7cb9a4bdc5ec42e9d4</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 25550403 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 Madeswaran A., Scool of Business and Management, CHRIST University, Yeshwanthpur Campus, Bengaluru, India; Bisht D., Department of Management Uttaranchal Institute of Management, Uttaranchal University, Dehradun, 248007, India; Yuvaraj S., Department of ECE, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, 127, India; Udayapal Reedy M., Department of Computer Science and Engineering, IES College of Technology, IES University, Madhya Pradesh, Bhopal, 462044, India; Al-Attabi K., The Islamic University, Najaf, Iraq; Dhablia A., Altimetrik India Pvt Ltd, Maharashtra, 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 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 AI-driven decentralized finance and the future of finance Description An account of the resource In the evolving landscape of finance, traditional institutions grapple with challenges ranging from outdated processes to limited accessibility, hindering the industry's ability to meet the diverse needs of a modern, digital-first society. Moreover, as the world embraces Decentralized Finance (DeFi) and Artificial Intelligence (AI) technologies, there becomes a need to bridge the gap between innovation and traditional financial systems. This disconnect not only impedes progress but also limits the potential for financial inclusion and sustainable growth. AI-Driven Decentralized Finance and the Future of Finance addresses the complexities and challenges currently facing the financial industry. By exploring the transformative potential of AI in decentralized finance, this book offers a roadmap for navigating the convergence of technology and finance. From optimizing smart contracts to enhancing security and personalizing financial experiences, the book provides practical insights and real-world examples that empower professionals to leverage AI-driven strategies effectively. With a focus on regulatory challenges, ethical considerations, and emerging trends, this book teaches individuals and organizations how to harness the power of AI in finance. By fostering interdisciplinary collaboration and offering forward-thinking perspectives, the book equips readers with the knowledge and tools needed to navigate the complexities of the digital age. Through this comprehensive exploration, AI-Driven Decentralized Finance and the Future of Finance not only offers solutions to current challenges but also paves the way for a more inclusive, sustainable, and innovative future for finance. 2024 by IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Irfan M.; Elmogy M.; Gupta S.; Khalifa F.; Dias R.T. Source A related resource from which the described resource is derived AI-Driven Decentralized Finance and the Future of Finance, pp. 1-426. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207620823&partnerID=40&md5=b6381384c56f3fc99ba97913a17519b5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207620823&partnerID=40&md5=b6381384c56f3fc99ba97913a17519b5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836936323-2; 979-836936321-8 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 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 Irfan M., School of Business and Management, Christ University, Bengaluru, India; Elmogy M., Information Technology Department, Faculty of Computers and Information, Mansoura University, Egypt; Gupta S., Universal AI University, India; Khalifa F., Morgan State University, United States; Dias R.T., Polytechnic Institute of Setubal, Portugal 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 AI-driven decision-making and optimization in modern agriculture sectors Description An account of the resource AI-driven decision-making tools have emerged as a novel technology poised to replace traditional agricultural practices. In this chapter, AI's pivotal role in steering the agricultural sector towards sustainability is highlighted, primarily through the utilization of AI techniques such as robotics, deep learning, the internet of things, image processing, and more. This chapter offers insights into the application of AI techniques in various functional areas of agriculture, including weed management, crop management, and soil management. Additionally, it underlines both the challenges and advantages presented by AIdriven applications in agriculture. In conclusion, the potential of AI in agriculture is vast, but it faces various impediments that, when properly identified and addressed, can expand its scope. This chapter serves as a valuable resource for government authorities, policymakers, and scientists seeking to explore the untapped potential of AI's significance in agriculture. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Jebadurai D.J.; Sheela M.V.V.; Rajeshkumar L.; Soundarya M.; Meena R.; Manickam T.; Hudson A.V.G.; Dheenadhayalan K.; Manikandan M. Source A related resource from which the described resource is derived Using Traditional Design Methods to Enhance AI-Driven Decision Making, pp. 269-288. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-0639-0.ch012" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-0639-0.ch012</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185242118&doi=10.4018%2F979-8-3693-0639-0.ch012&partnerID=40&md5=cea705a9e38d8806255f3ad89b2d5e8b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185242118&doi=10.4018%2f979-8-3693-0639-0.ch012&partnerID=40&md5=cea705a9e38d8806255f3ad89b2d5e8b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836930640-6; 979-836930639-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jebadurai D.J., St. Joseph's College of Engineering, Chennai, India; Sheela M.V.V., Aarupadai Veedu Institute of Technology, Vinayaka Mission's Research Foundation, India; Rajeshkumar L., St. Joseph's College of Engineering, Chennai, India; Soundarya M., Sathyabama Institute of Science and Technology, India; Meena R., Dr. Umayal Ramanathan College for Women, India; Manickam T., Christ University, India; Hudson A.V.G., Ayya Nadar Janaki Ammal College, India; Dheenadhayalan K., Mepco Schlenk Engineering College, India; Manikandan M., SRM University, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource AI-Driven Home Climate Optimization: The Role of ChatGPT in Enhancing AC Efficiency Subject The topic of the resource artificial intelligence; ChatGPT; energy efficiency; home automation; internet of things Description An account of the resource The convergence of Internet of Things (IoT) and Artificial Intelligence (AI) has revolutionized home automation, yet traditional air-conditioning (AC) systems still struggle with energy inefficiency. Our research presents a novel solution, integrating AI, IoT, and user-centric design with ChatGPT, to optimize AC systems responsively to occupants' needs. Our methodology employs ChatGPT's capability to analyze historical data, discern patterns, and provide intelligent recommendations for AC operation. This transcends the functions of standard smart thermostats through AI-driven decision-making, optimizing every AC operational moment for both comfort and energy conservation. The system's foundation in data-driven decisions ensures alignment with external and internal conditions, enhancing energy efficiency and user comfort. 2024 IEEE. Creator An entity primarily responsible for making the resource Paul S.; Kim Y.-W. 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/TQCEBT59414.2024.10545261" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545261</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204473464&doi=10.1109%2FTQCEBT59414.2024.10545261&partnerID=40&md5=eab631e4f32816a33af2aaf66ed75d33" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204473464&doi=10.1109%2fTQCEBT59414.2024.10545261&partnerID=40&md5=eab631e4f32816a33af2aaf66ed75d33</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 Paul S., Christ (Deemed to Be University), Department of Data Science, Lavasa, Pune, India; Kim Y.-W., Christ (Deemed to Be University), Department of Data Science, Lavasa, 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 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 AI-Enhanced IoT Data Analytics for Risk Management in Banking Operations Subject The topic of the resource AI; Banking Operations; Data Analytics; Financial Risk; IoT; Real-time Analysis; Risk Management Description An account of the resource Using IoT data analytics in conjunction with artificial intelligence (AI) has the potential to improve banking operations' risk management. Sophisticated analytical methods are necessary for the detection and management of possible risks due to the increasing complexity and amount of data generated by the banking industry. This research proposes a novel method for analysing real-time data from IoT devices by employing artificial intelligence algorithms. The risks associated with financial transactions and operations can be better and more accurately assessed using this method. Through the integration of AI's pattern recognition, anomaly detection, and predictive modelling capabilities with the massive amounts of data generated by Internet of Things devices, this project aims to substantially enhance the efficacy and efficiency of risk management approaches in the banking sector. Research like this could lead to innovative solutions that make financial institutions more resistant to rising risks by enhancing decision-making, reducing operational weaknesses, and so on. 2024 IEEE. Creator An entity primarily responsible for making the resource Thirumagal P.G.; Vaddepalli S.; Das T.; Das S.; Madem S.; Immaculate P.S. Source A related resource from which the described resource is derived 5th International Conference on Recent Trends in Computer Science and Technology, ICRTCST 2024 - Proceedings, pp. 177-181. 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/ICRTCST61793.2024.10578533" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRTCST61793.2024.10578533</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199358472&doi=10.1109%2FICRTCST61793.2024.10578533&partnerID=40&md5=cb3c7936415ed5b0a248ef13d338b17b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199358472&doi=10.1109%2fICRTCST61793.2024.10578533&partnerID=40&md5=cb3c7936415ed5b0a248ef13d338b17b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835035137-8 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 Thirumagal P.G., VISTAS, Department of MBA, Tamil Nadu, Chennai, India; Vaddepalli S., University of Technology and Applied Sciences, Department of Economics and Business Administration, India; Das T., Christ University, Department of School of Business Management, UP, Ghaziabad, India; Das S., Christ University, Department of School of Commerce, Finance & Accountancy, Delhi NCR Campus, UP, Ghaziabad, India; Madem S., Vignan's Institute of Information Technology, Department of Management Studies, India; Immaculate P.S., Sri SaiRam Institute of Technology, Department of MBA, West Tambaram, 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 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-Powered IoT Framework for Enhancing Building Safety through Stability Detection Subject The topic of the resource Accuracy; Building Safety; Computational Time; Ensemble Learning; Fuzzy Logic Systems; Gradient Boosting Machines; Internet of Things; Latency Detection; Sensor Data; Support Vector Machine Description An account of the resource The rapid urbanization and increasing structural complexities of modern buildings have heightened the need for advanced monitoring systems to ensure building safety. The research presents an AI-powered IoT framework that enhances building safety through advanced stability detection mechanisms. The proposed framework employs a novel algorithm, Ensemble Learning with IoT Sensor Data Aggregation (EnIoT-SDA), which integrates ensemble learning techniques with aggregated sensor data to provide accurate and real-time stability assessments of building structures. The effectiveness of EnIoT-SDA was evaluated through a comprehensive simulation analysis, comparing its performance against existing algorithms, including Support Vector Machine (SVM), Gradient Boosting Machines (GBM), and Fuzzy Logic Systems (FLS). Simulation metrics, such as accuracy, false positive rate, computational time, and detection latency, were used to assess and compare the algorithms' performance. The results demonstrated that EnIoT-SDA outperformed the existing methods in several key areas, offering improved accuracy and reduced detection latency, thus establishing its potential as a robust solution for building safety monitoring. The study underscores the significant advancements brought by integrating ensemble learning with IoT sensor data and highlights areas for future research and development in this domain. 2024 IEEE. Creator An entity primarily responsible for making the resource Raja S.R.; Devi T.R.; Raj J.R.F.; Sankar V.K.; Krishnan R.S.; Venkatalakshmi R. Source A related resource from which the described resource is derived 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024 - Proceedings, pp. 73-80. 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/I-SMAC61858.2024.10714838" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/I-SMAC61858.2024.10714838</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208596171&doi=10.1109%2FI-SMAC61858.2024.10714838&partnerID=40&md5=c26bb54dd5c79f82d2a890c8720ca1b6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208596171&doi=10.1109%2fI-SMAC61858.2024.10714838&partnerID=40&md5=c26bb54dd5c79f82d2a890c8720ca1b6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835037642-5 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 Raja S.R., Hindustan Institute of Technology and Science, Computer Applications, Chennai, India; Devi T.R., Christ University, Department of Computer Science and Engineering, Bangalore, India; Raj J.R.F., Saveetha Institute of Medical and Technical Sciences, Department of Electronics and Communication, Saveetha School of Engineering, Chennai, India; Sankar V.K., Scad College of Engineering and Technology, Department of Civil Engineering, Cheranmahadevi, India; Krishnan R.S., Scad College of Engineering and Technology, Department of Electronics and Communication Engineering, Cheranmahadevi, India; Venkatalakshmi R., Psna College of Engineering and Technology, Department of Information Technology, Dindigul, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource AI-powered marketing strategies in the tourism and hospitality sector Description An account of the resource A highly competitive environment with increased demand for personalized services drives the tourism and hospitality industry to embrace immersive and intelligent technologies. Smart technologies like artificial intelligence (AI) and virtual reality (VR) assist in promotions, marketing brands, customer analysis, and ultimately leading to sustainable businesses. Marketing research is an inevitable element for any businesses that helps in understanding their customers, catering their needs, and turning them into loyal customers. Marketing strategies incorporated with smart technologies are gaining high importance in the tourism and hospitality industries due to three major outcomes such as experience enhancement, revenue improvement and effective operations. Artificial intelligence revamped the hospitality industry with customized services and tailored recommendations based on a wholesome of customer data. Virtual reality technology provides high immersive experience to boost tourism, to enhance customer experience, to influence positive travel decisions. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Daline R.; Thomas J. Source A related resource from which the described resource is derived Utilizing Smart Technology and AI in Hybrid Tourism and Hospitality, pp. 223-242. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-1978-9.ch010" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-1978-9.ch010</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189064779&doi=10.4018%2F979-8-3693-1978-9.ch010&partnerID=40&md5=85361ac8c823cb9d246450ff26800fd8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189064779&doi=10.4018%2f979-8-3693-1978-9.ch010&partnerID=40&md5=85361ac8c823cb9d246450ff26800fd8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836931979-6; 979-836931978-9 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 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 Daline R., Christ University, India; Thomas J., 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 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 AI, mindfulness, and emotional well-being: Nurturing awareness and compassionate balance Description An account of the resource This chapter examines the intricate relationship between artificial intelligence (AI), mindfulness, and emotional health. It explored the synergistic potential of AI and mindfulness in enhancing emotional awareness and the function of AI in promoting emotional well-being in educational, occupational, and mental health settings. The discussion addressed emerging trends and ethical considerations. It emphasized the transformative potential of AI and mindfulness in promoting emotional well-being, focusing on maintaining a compassionate balance in the AI-driven world. 2024, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Singha R. Source A related resource from which the described resource is derived AI and Emotions in Digital Society, pp. 47-74. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-0802-8.ch003" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-0802-8.ch003</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183707410&doi=10.4018%2F979-8-3693-0802-8.ch003&partnerID=40&md5=0ebef575f3d16c63f46daabdcfc8aabd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183707410&doi=10.4018%2f979-8-3693-0802-8.ch003&partnerID=40&md5=0ebef575f3d16c63f46daabdcfc8aabd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836930803-5; 979-836930802-8 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 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 Singha 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 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 AIFMS Autonomous Intelligent Fall Monitoring System for the Elderly Persons Subject The topic of the resource Drugs; Fall Detection; Medication; Night Vision; Nocturia; Retro-Reflective Stickers Description An account of the resource Falls are the major cause of injuries and death of elders who live alone at home. Various research works have provided the best solution to the fall detection approach during the day. However, falls occur more at night due to many factors such as low or zero lighting conditions, intake of medication/drugs, frequent urination due to nocturia disease, and slippery restroom. Based on the required factors, an autonomous monitoring system based on night condition has been proposed through retro-reflective stickers pasted on their upper cloth and infrared cameras installed in the living environment of elders. The developed system uses features such as changes in orientation angle and distance between the retro-reflective stickers to identify the human shape and its characteristics for fall identification. Experimental analysis has also been performed on various events of fall and non-fall activities during the night exclusively in the living environment of the elder, and the system achieves an accuracy of 96.2% and fall detection rate of 92.9%. Copyright 2022, IGI Global. Creator An entity primarily responsible for making the resource Ramanujam E.; Perumal T. Source A related resource from which the described resource is derived International Journal of Ambient Computing and Intelligence, Vol-13, No. 1 Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/IJACI.304727" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/IJACI.304727</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151788420&doi=10.4018%2FIJACI.304727&partnerID=40&md5=7a3599040130307943dc977669533ea9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151788420&doi=10.4018%2fIJACI.304727&partnerID=40&md5=7a3599040130307943dc977669533ea9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19416237 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 Ramanujam E., School of Engineering and Technology, Christ University, Deemed, India; Perumal T., Universiti Putra Malaysia, Malaysia 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 Aiming at digital health via mHealth application for generation Y post-pandemic scenario Description An account of the resource Medical and health products have become a part of our lives. A health-conscious .society is the aftermath of the pandemic. The increasing role of technology has pushed people to online alternatives for medical services, progressing towards digital health. This research thus contributes to the nascent literature on the impact of mHealth apps and the consumption pattern in Bangalore in the post-pandemic scenario. This research investigates from the perspective of usage, privacy, and affordability of the mHealth apps. Results suggest that usage is positively affected by the affordability and privacy of these apps. Firstly, app developers could use the findings for different digital health marketing strategies and implementations for the mHealth app. Secondly, academics can look at other aspects such as the knowledge people possess regarding apps and their proficiency in accepting technology. Finally, the policy discussion makers can work on concerns of affordability and privacy to cater to the more significant population segment. 2023 by IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource George R.; Swathi S.; Thomas R.R.; Sowmya A.C.; Thomas M.R. Source A related resource from which the described resource is derived Integrating Digital Health Strategies for Effective Administration, pp. 76-94. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-8337-4.ch005" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-8337-4.ch005</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162681392&doi=10.4018%2F978-1-6684-8337-4.ch005&partnerID=40&md5=d6dc923913eb5d86c9c9bd275e9b3372" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162681392&doi=10.4018%2f978-1-6684-8337-4.ch005&partnerID=40&md5=d6dc923913eb5d86c9c9bd275e9b3372</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166848338-1; 978-166848337-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 George R., CHRIST (Deemed to be University), Bengaluru, India; Swathi S., CHRIST (Deemed to be University), Bengaluru, India; Thomas R.R., CHRIST (Deemed to be University), Bengaluru, India; Sowmya A.C., CHRIST (Deemed to be University), Bengaluru, India; Thomas M.R., CHRIST (Deemed to be University), 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 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 AIoT concepts and integration: Exploring customer interaction, ethics, policy, and privacy Description An account of the resource Integrating AIoT technologies provide businesses with increased productivity, cost savings, data-driven insights, and enhanced consumer interactions. Nevertheless, difficulties include data privacy, ethics, regulatory compliance, and technical complexities. The recommendations include transparent practices, accountability, bias mitigation, data minimization, informed consent, and ethical design. Policymakers must develop adaptable regulations, place a premium on privacy and security, and involve stakeholders. A user-centric approach and training in data ethics are essential. AIoT offers enormous potential but requires a delicate balance between innovation and responsibility, with ethics, privacy, and policy compliance at the forefront. 2024 by IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Singha R.; Singha S. Source A related resource from which the described resource is derived Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition, pp. 26-51. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-0993-3.ch002" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-0993-3.ch002</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189829280&doi=10.4018%2F979-8-3693-0993-3.ch002&partnerID=40&md5=08b673ef90a4150ac5cec101c92cd85f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189829280&doi=10.4018%2f979-8-3693-0993-3.ch002&partnerID=40&md5=08b673ef90a4150ac5cec101c92cd85f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-836930994-0; 979-836930993-3 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 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 Singha R., Christ University, India; Singha S., Kristu Jayanti College (Autonomous), 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 Air Quality Index, Personality Traits and Their Impact on the Residential Satisfaction and Quality of Life: An Exploratory Path Analysis Model Subject The topic of the resource Air quality index; personality traits; quality of life; residential satisfaction Description An account of the resource The environment directly influences the behaviour, experiences, and also the well-being of people. It is not only the outside environment but the indoor environmental quality (IEQ) that also affects the well-being of its residents (Arif et al., 2016). The objective of the present study is to study the relationship between Air Quality Index (AQI), Personality traits, Residential Satisfaction, and quality of life among participants living in Bengaluru, Chennai, and Delhi NCR. A total of 685 residents aged 18-65, living in Bengaluru, Chennai, and Delhi NCR for over 2 years, who responded to the call for participation were selected for the study. Data was collected through online Google forms. Correlation and regression analysis were carried out to understand the strength and direction of the relationship between study variables. SPSS AMOS was used to estimate the measurement model and capture mediation paths. The results present an exploratory model which identifies air quality index and personality traits and their contribution towards the perceptions of residential satisfaction. The study also establishes a link between residential satisfaction and quality of life, the new ecological paradigm, and the dominant social paradigm. The present study highlights the necessity to adopt a pro-environmental approach to improve the quality of life. 2024 - IOS Press. All rights reserved. Creator An entity primarily responsible for making the resource Chukkali S.; Rastogi K.; Agrawal A.; Nayar S.; Raj P. Source A related resource from which the described resource is derived Asian Journal of Water, Environment and Pollution, Vol-21, No. 4, pp. 39-46. Publisher An entity responsible for making the resource available IOS Press BV 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/10.3233/AJW240044" target="_blank" rel="noreferrer noopener">https://doi.org/10.3233/AJW240044</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199971229&doi=10.3233%2FAJW240044&partnerID=40&md5=cf3af017cbca8c745c716c6219f76738" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199971229&doi=10.3233%2fAJW240044&partnerID=40&md5=cf3af017cbca8c745c716c6219f76738</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9729860 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 Chukkali S., Department of Psychology, CHRIST (Deemed to be University), Delhi NCR, India; Rastogi K., Department of Psychology, CHRIST (Deemed to be University), Delhi NCR, India; Agrawal A., Department of Psychology, CHRIST (Deemed to be University), Delhi NCR, India; Nayar S., Department of Clinical Psychology, Sri Ramachandra Institute of Higher Education and Research, Chennai, India; Raj P., Department of Psychology, Jyoti Nivas College Autonomous, Bengaluru, India https://archives.christuniversity.in/files/original/933a209d3677c75ce288c654e7e173f5.png ae8597b1fb62da5294ca14f6fc0ece85 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 Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents 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 Air quality sensing tag / Subject The topic of the resource Mechanical Description An account of the resource Patent Number: 318705-001, Applicant: Divyanshu Sinha. Creator An entity primarily responsible for making the resource Samanta, Debabrata. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1f1p0AJ_etUDiDWsGdlGxhytU4dABKxpR/view" target="_blank" title="Air quality sensing tag /" rel="noreferrer noopener">https://drive.google.com/file/d/1f1p0AJ_etUDiDWsGdlGxhytU4dABKxpR/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2019-03-14 Language A language of the resource English Type The nature or genre of the resource Patent