462 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 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 Intelligent Environmental Data Monitoring for Pollution Management: A volume in Intelligent Data-Centric Systems Description An account of the resource Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-centric systems guided by batch process-oriented data. Thus, the book ushers in a new era as far as environmental pollution management is concerned. It reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, followed by a review of intelligent tools and techniques which can be used in this direction. In addition, it discusses novel intelligent algorithms for effective environmental pollution data management that are on par with standards laid down by the World Health Organization. To learn more about Elseviers Series, Intelligent Data-Centric Systems, please visit this link: https://www.elsevier.com/books-and-journals/book-series/intelligent-data-centric-systems-sensor-collected-intelligence. 2021 Elsevier Inc. All rights reserved. Creator An entity primarily responsible for making the resource Bhattacharyya S.; Mondal N.K.; Platos J.; Snl V.; Krer P. Source A related resource from which the described resource is derived Intelligent Environmental Data Monitoring for Pollution Management, pp. 1-323. 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 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/B978-0-12-819671-7.09989-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-12-819671-7.09989-9</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097126817&doi=10.1016%2FB978-0-12-819671-7.09989-9&partnerID=40&md5=4113014c788b91ac6ddf803c5413c69e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097126817&doi=10.1016%2fB978-0-12-819671-7.09989-9&partnerID=40&md5=4113014c788b91ac6ddf803c5413c69e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-012819671-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bhattacharyya S., CHRIST (Deemed to be University), Bangalore, India; Mondal N.K., Environmental Chemistry Laboratory, Department of Environmental Science, The University of Burdwan, West Bengal, Bardhaman, India; Platos J., VB - Technical University, Ostrava, Czech Republic; Snl V., VB - Technical University, Ostrava, Czech Republic; Krer P., VB - Technical University, Ostrava, Czech Republic 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 61000277 Title A name given to the resource Intelligent Information Retrieval Model for Digital Documents in Title Insurance Subject The topic of the resource Data Science Description An account of the resource Documents have been pivotal in shaping human history by preserving knowledge and newlineenabling the transmission of ideas across generations and cultures. They have facilitated the establishment of legal systems, institutions, and governance, fostering societal order and progress. Additionally, documents serve as a collective memory, chronicling the achievements and lessons learned, enriching the human experience. Transforming documents from physical to digital format has revolutionized how we access, store, and share information in the digital age. This transition, enabled by technological advances, began with the invention of the scanner, which allowed for newlinethe digital capture of images and text. Optical Character Recognition (OCR) technology that can convert scanned documents into searchable, editable digital texts further streamlined this process. As the storage capacity and internet speeds have increased, digitization has become more accessible and widespread. Cloud-based storage solutions, such as Google Drive and Dropbox, now allow users to store, access, and share digital documents from anywhere with an internet connection. This has improved collaboration and communication and reduced the need for physical storage space. The digitization of documents has also significantly impacted the environment, with paper consumption decreasing and many industries carbon footprint reducing. Libraries and archives have transformed digitally, making vast information more easily accessible and preserving vital historical records for future generations. This digital shift has democratized knowledge, granting people worldwide access to resources that were once limited newlineto those with physical proximity to the material. Creator An entity primarily responsible for making the resource Guha, Abhijit 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 2023-01-01 Contributor An entity responsible for making contributions to the resource Samanta, Debabrata 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/10603/533972" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/533972</a> https://archives.christuniversity.in/files/original/3cf26f68ee36fa2f5b6d53572eb7c347.pdf e621edd6e71ec7443d582b050f9706f8 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 Intelligent information retrieval model for digital documents in title insurance / Subject The topic of the resource Data Science Creator An entity primarily responsible for making the resource Abhijit Guha - 1981901 Publisher An entity responsible for making the resource available CHRIST (Deemed to be University) Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-03 Language A language of the resource English Type The nature or genre of the resource PhD Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Intelligent load shedding using ant colony algorithm in smart grid environment Subject The topic of the resource Ant colony algorithm; Grading of loads; Intelligent load shedding; Optimization; Smart grid Description An account of the resource For every country which is expecting a large growth in power demand in the near future or facing a power crisis, an effective load control and power distribution strategy is a necessity. Load shedding is done whenever power demand is more than power generation in order to sustain power system stability. The current load shedding strategies fails to shed exact amount of load as per the system requirement and does not prioritize loads which are being shed. Given the dimension of the problem, it would not be feasible computationally, to use regular optimization techniques to solve the problem. The problem is typically suited for application of meta-heuristic algorithms. This paper proposes a new scheme for optimizing load shedding using ant colony algorithm in a smart grid platform considering loads at utility level. The algorithm developed considers each electrical connection from Distribution Company as one lumped load and provides an effective methodology to control the load based on various constrains such as importance of load and time of load shedding. Springer India 2015. Creator An entity primarily responsible for making the resource Margaret V.; Uma Rao K.; Ganeshprasad G.G. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-326, pp. 1149-1162. Publisher An entity responsible for making the resource available Springer Verlag Date A point or period of time associated with an event in the lifecycle of the resource 2015-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-81-322-2119-7_112" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-81-322-2119-7_112</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911891710&doi=10.1007%2F978-81-322-2119-7_112&partnerID=40&md5=65f41eaa25d733fab937f0601e3d8e6e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911891710&doi=10.1007%2f978-81-322-2119-7_112&partnerID=40&md5=65f41eaa25d733fab937f0601e3d8e6e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100 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 Margaret V., Electrical and Electronics Department, Christ University, Bangalore, India; Uma Rao K., Electrical and Electronics Department, R.V. College of Engineering, Bangalore, India; Ganeshprasad G.G., Electrical and Electronics Department, 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 Intelligent machine learning approach for cidscloud intrusion detection system Subject The topic of the resource Cloud intrusion detection system; Feature selection; KLS framework; Machine learning; UNSW-NB15 dataset Description An account of the resource In this new era of information technology world, security in cloud computing has gained more importance because of the flexible nature of the cloud. In order to maintain security in cloud computing, the importance of developing an eminent intrusion detection system also increased. Researchers have already proposed intrusion detection schemes, but most of the traditional IDS are ineffective in detecting attacks. This can be attained by developing a new ML based algorithm for intrusion detection system for cloud. In the proposed methodology, a CIDS is incorporated that uses only selected features for the identification of the attack. The complex dataset will always make the observations difficult. Feature reduction plays a vital role in CIDS through time consumption. The current literature proposes a novel faster intelligent agent for data selection and feature reduction. The data selection agent selects only the data that promotes the attack. The selected data is passed through a feature reduction technique which reduces the features by deploying SVM and LR algorithms. The reduced features which in turn are subjected to the CIDS system. Thus, the overall time will be reduced to train the model. The performance of the system was evaluated with respect to accuracy and detection rate. Then, some existing IDS is analyzed based on these performance metrics, which in turn helps to predict the expected output. For analysis, UNSW-NB15 dataset is used which contains normal and abnormal data. The present work mainly ensures confidentiality and prevents unauthorized access. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021. Creator An entity primarily responsible for making the resource Sowmya T.; Muneeswari G. Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies, Vol-66, pp. 873-885. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-0965-7_67" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-0965-7_67</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114611150&doi=10.1007%2F978-981-16-0965-7_67&partnerID=40&md5=882b13c7e0696c7d005a4ae4d175e86a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114611150&doi=10.1007%2f978-981-16-0965-7_67&partnerID=40&md5=882b13c7e0696c7d005a4ae4d175e86a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23674512 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 Sowmya T., School of Engineering and Technology CHRIST (Deemed to be University), Bangalore, India; Muneeswari G., Department of Computer Science and Engineering, School of Engineering and Technology, 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 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 Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities Description An account of the resource The use of intelligence in manufacturing has emerged as a fascinating subject for academics and businesses everywhere. This book focuses on various manufacturing operations and services which are provided to customers to achieve greater manufacturing flexibility, as well as widespread customization and improved quality with the help of advanced and smart technologies. It describes cyber-physical systems and the whole product life cycle along with a variety of smart sensors, adaptive decision models, high-end materials, smart devices, and data analytics. Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities focuses on Intelligent Manufacturing and the design of smart devices and products that meet the demand of Industry 4.0, manufacturing and cyber-physical systems, along with real-time data analytics for Intelligent Manufacturing. The usage of advanced smart and sensing technologies in Intelligent Manufacturing for healthcare solutions is discussed as well. Popular use cases and case studies related to Intelligent Manufacturing are addressed to provide a better understanding of this topic. This publication is ideally designed for use by technology development practitioners, academicians, data scientists, industry professionals, researchers, and students interested in uncovering the latest innovations in the field of Intelligent Manufacturing. Features: Presents cutting-edge manufacturing technologies and information to maximise product exchanges and production Discusses the improvement in service quality, product quality, and production effectiveness Conveys how a manufacturing companys competitiveness can increase if it can manage the turbulence and changes in the global market Presents how intelligence production is essential in Industry 4.0 and how Industry 4.0 offers greater manufacturing flexibility, as well as widespread customisation, improved quality, and increased productivity Covers the ways businesses handle the challenges of generating an increasing number of customised items with quick time to market and greater quality Includes popular use cases and case studies related to intelligent manufacturing to provide a better understanding of this discipline. 2025 selection and editorial matter, Alka Chaudhary, Vandana Sharma, and Ahmed Alkhayyat individual chapters, the contributors. Creator An entity primarily responsible for making the resource Chaudhary A.; Sharma V.; Alkhayyat A. Source A related resource from which the described resource is derived Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities, pp. 1-239. 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/10.1201/9781032630748" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781032630748</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209986285&doi=10.1201%2F9781032630748&partnerID=40&md5=f38c66b390c762c35494916a5c74295b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209986285&doi=10.1201%2f9781032630748&partnerID=40&md5=f38c66b390c762c35494916a5c74295b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104015445-8; 978-103262761-8 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 Chaudhary A.; Sharma V., CHRIST (Deemed to be University), NCR, Delhi, India; Alkhayyat A. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Intelligent Manufacturing Components, Challenges, and Opportunities Description An account of the resource Intelligent Manufacturing shows transformative paradigms in the manufacturing industry; leveraging advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and robotics, to develop highly automated and adaptive production systems. This chapter outlines the Intelligent Manufacturing process, including its key principles, components, challenges, and opportunities. The combination of Machine Learning (ML) techniques and AI enables decision-making, real-time optimisation, and predictive analytics of manufacturing processes, productivity, and quality of products. Robotics and IoT devices play critical roles in enabling automation, data collection, and connectivity within Intelligent Manufacturing environments. Additionally, Digital Twin technology facilitates virtual simulation, modelling, and optimisation of production systems. While Intelligent Manufacturing offers significant benefits, it also presents challenges viz. high investments, integration complexity, and workforce reskilling requirements. Overcoming the challenges requires a holistic approach involving collaboration between industry stakeholders, government agencies, academia, and technology providers. Overall, Intelligent Manufacturing represents a promising future for the manufacturing industry, offering opportunities for innovation, competitiveness, and sustainable growth in a rapidly evolving global economy. 2025 selection and editorial matter, Alka Chaudhary, Vandana Sharma, and Ahmed Alkhayyat individual chapters, the contributors. Creator An entity primarily responsible for making the resource Gautam R.; Kaur P.; Sharma M.; Chaudhary A.; Sharma V. Source A related resource from which the described resource is derived Intelligent Manufacturing and Industry 4.0: Impact, Trends, and Opportunities, pp. 1-18. 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/10.1201/9781032630748-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781032630748-1</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209984434&doi=10.1201%2F9781032630748-1&partnerID=40&md5=3718c9fbd8fbdf1b3f7c94ecd08ed85a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209984434&doi=10.1201%2f9781032630748-1&partnerID=40&md5=3718c9fbd8fbdf1b3f7c94ecd08ed85a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-104015445-8; 978-103262761-8 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 Gautam R., Computer Science & Applications, Amity University, Uttar Pradesh, Noida, India; Kaur P., Computer Science & Applications, AIMT, Ambala, India; Sharma M., Computer Science & Application, DAV University, Jalandhar, India; Chaudhary A.; Sharma V., CHRIST (Deemed to be University), NCR, Delhi, 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 Intelligent Multi-modal Data Processing Description An account of the resource A comprehensive review of the most recent applications of intelligent multi-modal data processing Intelligent Multi-Modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors noted experts on the topic offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how to implement various statistical theories. Intelligent Multi-Modal Data Processing is an authoritative guide for developing innovative research ideas for interdisciplinary research practices. Designed as a practical resource, the book contains tables to compare statistical analysis results of a novel technique to that of the state-of-the-art techniques and illustrations in the form of algorithms to establish a pre-processing and/or post-processing technique for model building. The book also contains images that show the efficiency of the algorithm on standard data set. This important book: Includes an in-depth analysis of the state-of-the-art applications of signal and data processing Contains contributions from noted experts in the field Offers information on hybrid differential evolution for optimal multilevel image thresholding Presents a fuzzy decision based multi-objective evolutionary method for video summarisation Written for students of technology and management, computer scientists and professionals in information technology, Intelligent Multi-Modal Data Processing brings together in one volume the range of multi-modal data processing. 2021 John Wiley & Sons Ltd. All rights reserved. Creator An entity primarily responsible for making the resource Sarkar S.; Basu A.; Bhattacharyya S. Source A related resource from which the described resource is derived Intelligent Multi-modal Data Processing, pp. 1-256. Publisher An entity responsible for making the resource available wiley 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/10.1002/9781119571452" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/9781119571452</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152849524&doi=10.1002%2F9781119571452&partnerID=40&md5=5ff1019527bb3648f660a608bd63b381" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152849524&doi=10.1002%2f9781119571452&partnerID=40&md5=5ff1019527bb3648f660a608bd63b381</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 2020022620; 978-111957145-2; 2020022619; 978-111957138-4 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 Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sarkar S., Department of Electronics and Communication Engineering, RCC Institute of Information Technology, Kolkata, India; Basu A., Department of Electronics and Communication Engineering, RCC Institute of Information Technology, Kolkata, India; Bhattacharyya S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Intelligent Optimized Delay Algorithm for Improved Quality of Service in Healthcare Social Internet of Things Description An account of the resource Internet of Things (IoT) interconnects billions of devices by establishing a network that adheres to International Organization of Standardization (ISO) standards. These devices communicate with each other by sharing data regulated by the application. This is performed to accomplish a task or service that the application demands. The social or human-like behaviors are adapted in the IoT environment forming the Social IoT (SIoT). The SIoT integrates social networks in IoT-connected devices, making them unique and identifiable. Recent advancements in networking, intelligent network management, battery management, remote sensing, sensors, and other related technologies convinced users and designers to adopt IoT even for large-scale applications where the data involved is enormous. Leveraging the advancements in medical IoT, which focuses on healthcare to patients, can improve its service by removing redundant manual processes, long wait times, and providing other automated services. The advancements in real-time healthcare IoT devices and wearables make a strong case for implementing SIoT in the healthcare domain. SIoT in the healthcare domain has the potential to benefit users on a large scale. This chapter comprehends the challenges and solutions of using SIoT in medical and healthcare solutions from a networking quality of service (QoS) perspective. In addition, this chapter compares the intelligent algorithm, which can be used to improve the QoS of SIoT. Achieving higher QoS is necessary for healthcare services, especially while handling data from emergency and intensive care units. These data cannot tolerate errors and delays. Intelligent network management has become unavoidable in the health and medical services to achieve a higher degree of QoS system, which indirectly decreases data transfer time. The data from the sensor devices sent across the network leads to data loss and delay in data transmission due to congestion in the network and gateway devices. The optimized algorithms incorporated with the delay-based algorithm improves the QoS predominantly and reduces the delay in data transfer. Similarly, the particle swarm optimization algorithm allocates resources over the network and dynamically makes the network adapt to increased and reduced data flow, which reduces the delay and improves the QoS. Intelligent optimized delay algorithm (IODA) is proposed to improve the network performance by reducing the delay and using available bandwidth for data transfer in SIoT. 2023 selection and editorial matter, Gururaj H L, Pramod H B, and Gowtham M; individual chapters, the contributors. Creator An entity primarily responsible for making the resource Anija Starry B.; Nismon Rio R. Source A related resource from which the described resource is derived Advances in SIoT (Social Internet of Things), pp. 39-53. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003282990-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003282990-3</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214917825&doi=10.1201%2F9781003282990-3&partnerID=40&md5=0054b4995122300a9e0aced4dbf576e0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214917825&doi=10.1201%2f9781003282990-3&partnerID=40&md5=0054b4995122300a9e0aced4dbf576e0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100086098-6; 978-103225404-3 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 Anija Starry B., Department of Computer Science, Christ University, Bangalore, India; Nismon Rio R., Department of Computer Science, Christ University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Sneha, Mishael; Raman, Gokulapriya; Vetriveeran, Divya Title A name given to the resource Intelligent predictive hiring model and personality assessment 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 International Journal of Work Organisation and Emotion;Volume;17;Issue;2026-03-01 00:00:00;pp.180-203 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJWOE.2026.153667" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJWOE.2026.153667</a> <a href="https://www.scopus.com/pages/publications/105039781243?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039781243?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 Sneha M., Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Pondicherry, India; Raman G., Department of Computer Science and Engineering, Christ University, Bangalore, India; Vetriveeran D., Anna University, University College of Engineering, Thirukkuvalai, India Description An account of the resource Selecting the right candidates is essential for organisational success, yet traditional hiring methods often fall short. This research introduces an advanced approach integrating natural language processing (NLP), personality assessment, and deep learning to improve candidate selection. NLP extracts key attributes from job descriptions and resumes, while personality assessments evaluate candidate suitability. A fusion of LSTM and RNN models predicts job fit using a dataset of job roles, resumes, and MBTI personality types. Pre-processing includes tokenisation, encoding, and data splitting for training and testing. The model architecture combines embedding layers with LSTM units, optimised using binary cross-entropy loss and accuracy metrics. Results show that this fusion model outperforms traditional algorithms, improving job matching accuracy. This research enhances recruitment by leveraging AI-driven insights. Future work will refine predictive models, integrate additional data, and address ethical concerns to ensure fairness and transparency, fostering a more efficient and equitable hiring process. Copyright 2026 Inderscience Enterprises Ltd. Subject The topic of the resource deep neural networks; intelligent hiring; natural language processing; NLP; personality assessment Publisher An entity responsible for making the resource available Inderscience Publishers Relation A related resource ISSN: 17408938; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online https://archives.christuniversity.in/files/original/9d312292a000d2ab3108ec07c5603a39.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 Intelligent PSO-Fuzzy logic based DC motor control system and method thereof / Subject The topic of the resource Communication Description An account of the resource "Patent Number: 201941023480, Applicant: Dr, Sachi Nandan Mohanty. The present invention present an intelligent PSO based DC motor control System and method thereof. The system for intelligentcontrol of a DC motor, comprises a PID controller, and Particle Swarm Optimization Control unit, a PSO tuning algorithm & fuzzylogic control unit. The present system and method disclosed novel & efficient control techniques with using PSO algorithm and fuzzylogic techniques for DC motor control using a PID controller with solving problems of efficient control the prior arts Refer to Figure 2." 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/1ymnD6QyVrBH0dkyOjTnlcqQwsHXW-wIW/view" target="_blank" title="Intelligent PSO-Fuzzy logic based DC motor control system and method thereof /" rel="noreferrer noopener">https://drive.google.com/file/d/1ymnD6QyVrBH0dkyOjTnlcqQwsHXW-wIW/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 https://archives.christuniversity.in/files/original/4460ac6040bba0da67065aa1763f5fe0.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 Intelligent PSO-Fuzzy logic based DC motor control system and method thereof / Subject The topic of the resource Computer Science Description An account of the resource Patent Number: 201941023480, Applicant: Dr. Sachi Nandan Mohanty. The present invention present an intelligent PSO based DC motor control System and method thereof. The system for intelligent control of a DC motor, comprises a PID controller, and Particle Swarm Optimization Control unit, a PSO tuning algorithm & fuzzy logic control unit. Creator An entity primarily responsible for making the resource Biswas, Jayanta. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1bluwKoHGNS80Bz4FXNwhBaczDoRQsh40/view" target="_blank" title="Intelligent PSO-Fuzzy logic based DC motor control system and method thereof /" rel="noreferrer noopener">https://drive.google.com/file/d/1bluwKoHGNS80Bz4FXNwhBaczDoRQsh40/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 2019-03-15 Language A language of the resource English Type The nature or genre of the resource Patent https://archives.christuniversity.in/files/original/c727653e3747c2d897774026806e7acf.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 Intelligent PSO-Fuzzy logic based DC motor control system and method thereof / Subject The topic of the resource Communication Description An account of the resource Patent Number: 201941023480, Applicant: Dr. Sachi Nandan Mohanty. The system for intelligent control of a DC motor, comprises a PID controller, and Particle Swarm Optimization Control unit, a PSO tuning algorithm & fuzzy logic control unit. The present system and method disclosed novel & efficient control techniques with using PSO algorithm and fuzzy logic techniques for DC motor control using a PID controller with solving problems of efficient control the prior arts. Creator An entity primarily responsible for making the resource Biswas, Jayanta. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1ymnD6QyVrBH0dkyOjTnlcqQwsHXW-wIW/view" target="_blank" title="Intelligent PSO-Fuzzy logic based DC motor control system and method thereof /" rel="noreferrer noopener">https://drive.google.com/file/d/1ymnD6QyVrBH0dkyOjTnlcqQwsHXW-wIW/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 2019-03-15 Language A language of the resource English Type The nature or genre of the resource Patent 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 Priya Dharshini, G.; Ramasamy, Gobi; Sivalingam, Elangovan; Ramachandran, Selvakumar Title A name given to the resource Intelligent Research Summarization: Enhancing Academic Productivity through AI for a More Sustainable Future Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings of 2025 International Conference on Emerging Technologies in Computing and Communication, ETCC 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ETCC65847.2025.11108492" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ETCC65847.2025.11108492</a> <a href="https://www.scopus.com/pages/publications/105015628224?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105015628224?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 Priya Dharshini G., Department of Computer Science, CHRIST University, Bangalore, India; Ramasamy G., Department of Computer Science, CHRIST University, Bangalore, India; Sivalingam E., eBay, United States; Ramachandran S., Oxford University, United Kingdom Description An account of the resource The efficiency of researchers is often hindered by the enormous volume of academic research, which hinders the extraction of useful insights in a timely manner. This paper proposes an extension for summarizing research papers using artificial intelligence to ease the process through automated concise summarization. Our system leverages cutting-edge natural language processing tools, including PyPDF2 for text extraction, LangChains text chunking method, FAISS for similarity-based information retrieval, and Googles Gemini AI for high-quality summarization. We evaluated the performance of the model using a variety of metrics, including Rouge scores in conjunction with human judgments. Experimental results show that the suggested approach significantly improves research efficiency, reducing reading time by 60% without compromising high accuracy rates. 2025 IEEE. Subject The topic of the resource AI summarization; FAISS; Google Gemini AI; LangChain; Natural Language Processing (NLP); Text Embeddings Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833152476-0; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Thirunavukkarasan, M.; Remamany, Krishna Priya; Vaishnnave, M.P.; Mary, S.A. Sahaaya Arul; Devarajan, Ganesh Gopal; Mahapatra, Rajendra Prasad Title A name given to the resource Intelligent Retrieval and Secure Content Generation in Consumer Healthcare Electronics Using Quantum Blockchain and Edge-Fog-Cloud Intelligence 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 IEEE Transactions on Consumer Electronics;Volume;72;Issue;1;pp.2235-2242 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/TCE.2025.3650338" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TCE.2025.3650338</a> <a href="https://www.scopus.com/pages/publications/105026687691?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105026687691?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 Thirunavukkarasan M., Department of Computational Intelligence, School of Computer Science and Engineering, Vellore Institute of Technology, Tamil Nadu, Vellore, 632014, India; Remamany K.P., Department of Research and Consultancy, College of Engineering and Technology, University of Technology and Applied Sciences, Khasab, 811, Oman; Vaishnnave M.P., Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Deemed to be University), Chennai, 600119, India; Mary S.A.S.A., Department of AIML and Data Science, Faculty of Engineering and Technology, CHRIST University, Kengeri Campus, Karnataka, Bengaluru, 560074, India; Devarajan G.G., Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Noida, 201313, India; Mahapatra R.P., Department of Computer Science and Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Delhi NCR Campus, Uttar Pradesh, 201204, India Description An account of the resource To address the growing need for intelligent retrieval and personalized content generation in consumer healthcare electronic devices, this work proposes a secure, scalable, and AI-enhanced framework integrating wearable IoMT devices with edgefogcloud infrastructures. The system leverages quantum blockchain with Quantum Key Distribution (QKD) for tamper-proof storage of sensor data and applies a hybrid Practical Byzantine Fault Tolerance (pBFT) and Proof of Work (PoW) consensus for low-latency validation. At the edge layer, consumer medical devices, such as smart watches, smart patches, and mobile health assistants perform preliminary anomaly detection using lightweight BiLSTM-CNN models integrated with Quantum Neural Networks (QNN). When emergencies or anomalies are detected, the fog layer handles intelligent data retrieval and prioritization based on task urgency, network quality, and energy constraints. The cloud layer supports long-term storage and AI-driven content generation, such as personalized health summaries, alerts, and predictive reports. The architecture enables fast retrieval of user-specific biomedical data across consumer platforms and generates real-time decision support notifications through smartphones, wearables, and connected home healthcare centers. The simulation results demonstrate improved responsiveness, security, and retrieval efficiency compared to traditional IoMT architectures. This framework positions consumer healthcare electronic devices as intelligent, context-aware, and secure systems capable of real-time predictive assistance, data retrieval, and adaptive content generation for smart living environments. 2026 IEEE. All rights reserved. Subject The topic of the resource consumer applications; Federated learning; privacy preserving; smart homes; spatiotemporal data analytics Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISSN: 983063; CODEN: ITCED 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 Intelligent Safety Life Jacket Using Wsn Technology Subject The topic of the resource Automation; Conveyor; OPC-UA; Sensors Description An account of the resource The body loses heat in hypothermia because it cannot maintain its internal temperature owing to a freezing environment. As a result, the body temperature will decrease rapidly. The person will lose consciousness or faint when the body temperature falls below 35C. This study targets detecting climbers' hypothermia and transmitting their health status to the climber's group. It is difficult for mountain climbers to check their health and hypothermia symptoms for themselves and their climbing companions. To address this issue, we created a life jacket with an integrated hardware kit with a Peltier, temperature, and pulse sensor. LoRa Network is used to communicate with the climber's group. Alert messages are delivered to mountaineers via the Android app and suitable protocols, which helps save the climbers if any discrepancies occur. 2023 IEEE. Creator An entity primarily responsible for making the resource Neethu P.S.; Jesuwanth Sugesh R.G.; Praghash K.; Annalakshmi T.; Sushanth G.; Praveen D. Source A related resource from which the described resource is derived 2023 International Conference on the Confluence of Advancements in Robotics, Vision and Interdisciplinary Technology Management, IC-RVITM 2023 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IC-RVITM60032.2023.10435024" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IC-RVITM60032.2023.10435024</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186687821&doi=10.1109%2FIC-RVITM60032.2023.10435024&partnerID=40&md5=19ebe22af3c38d5f15416a16667ae864" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186687821&doi=10.1109%2fIC-RVITM60032.2023.10435024&partnerID=40&md5=19ebe22af3c38d5f15416a16667ae864</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030608-8 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 Neethu P.S., Christ (Deemed to Be University), School of Engineering and Technology, Department of Electronics and Communication Engineering, Karnataka, Bengaluru, India; Jesuwanth Sugesh R.G., Christ (Deemed to Be University), School of Engineering and Technology, Department of Electronics and Communication Engineering, Karnataka, Bengaluru, India; Praghash K., Christ (Deemed to Be University), School of Engineering and Technology, Department of Electronics and Communication Engineering, Karnataka, Bengaluru, India; Annalakshmi T., S A Engineering College, Department of Electronics and Communication Engineering, Chennai, India; Sushanth G., Christ (Deemed to Be University), School of Engineering and Technology, Department of Electronics and Communication Engineering, Karnataka, Bengaluru, India; Praveen D., Christ (Deemed to Be University), School of Engineering and Technology, Department of Electronics and Communication Engineering, Karnataka, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications 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 Poornima, Sharon; Immanuel, Ashok V. Title A name given to the resource Intelligent self-organizing microservice composition using hybrid learning for neonatal ward 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 IAES International Journal of Artificial Intelligence;Volume;15;Issue;2;pp.1097-1108 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijai.v15.i2.pp1097-1108" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijai.v15.i2.pp1097-1108</a> <a href="https://www.scopus.com/pages/publications/105036029784?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105036029784?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 Poornima S., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Immanuel A.V., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India Description An account of the resource This research presents an innovative self-organizing microservice composition model specifically tailored for dynamic and time-sensitive healthcare environments such as neonatal intensive care units (NICU). A hybrid machine learning classifier detects neonatal conditions and assigns treatment plans based on real-time vitals. The composition process is guided by a deep learning agent that combines unsupervised and reinforcement learning to develop intelligent bonding strategies. Microservices act as autonomous agents, supporting decentralized service choreography within the self-organizing framework. The bonding strategies of direct bonding and shared bonding are implemented for single conditions and coexisting conditions, respectively. The simulation results are based on actual NICU data, demonstrating the ability of the model to dynamically compose services while ensuring optimal resource utilization. The model demonstrates an adaptive and dynamic composition through emergence and continuous learning for changing clinical conditions, and demonstrates emergent behavior through reinforcement learning. The model's predictive capabilities enable anticipatory service loading, providing context-aware treatment in critical healthcare scenarios. This self-organizing architecture model offers a scalable and robust solution for autonomous, decentralized service choreography in critical healthcare environments. This is an open access article under the CC BY-SA license https://creativecommons.org/licenses/by-sa/4.0/. Subject The topic of the resource Critical care; Health care; Hybrid learning; Microservice composition; Self-organization Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Relation A related resource ISSN: 20894872; 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 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 Intelligent Smart Waste Management Using Regression Analysis: An Empirical Study Subject The topic of the resource Analysis of variance; Deep learning; Regression analysis; Smart waste management Description An account of the resource The term deep learning is seen as an important part of artificial intelligence that allows the system to understand and make decisions without special human intervention. In-depth learning uses a variety of statistical models and programs that allow different computational properties to reach the highest point. It is estimated that the market development of artificial intelligence and technology for deep learning will amount to USD 500 billion by 2026. The use of advanced technology, such as neural networks, enables better image recognition and the use of automated processes for deep operations. The main purpose of the study is to understand the critical determinants of Deep Learning in Creating a better City through Intelligent Smart Waste Management, the major determinants cover: System usability scale, Implementation of RFID sensors and Optimizing route selection. The proposed work is that implementation of advanced tools like deep learning methodologies and machine learning tools can support in managing the waste in a smart way, this will enable in creating better cities, enhance the environment and support sustainable living. Smart cities today need to use tools like deep learning and other artificial intelligence to effectively manage waste. Smart vessels are mainly controlled and implemented, which makes it easier for users to open vessels, it is also suitable for storing solid and dry waste, but provides information on the total degree of filling, can share data and information with central waste management service, you can collect waste quickly and avoid flooding. To achieve this, governments, administrators and communities are introducing sensors that transmit data and information to the waste management company in real-time and take appropriate action. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Rath A.; Das Gupta A.; Rohilla V.; Balyan A.; Mann S. Source A related resource from which the described resource is derived Communications in Computer and Information Science, Vol-1591 CCIS, pp. 138-148. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-07012-9_12" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-07012-9_12</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131925224&doi=10.1007%2F978-3-031-07012-9_12&partnerID=40&md5=45d3c353a7d6c0ebdf6d1daa50728d9a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131925224&doi=10.1007%2f978-3-031-07012-9_12&partnerID=40&md5=45d3c353a7d6c0ebdf6d1daa50728d9a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18650929; ISBN: 978-303107011-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rath A., School of Commerce, Finance & Accountancy, CHRIST (Deemed to be University), Lavasa, Pune, India; Das Gupta A., Department of Geography, WBES, Chandernagore Government College affiliated to the University of Burdwan, West Bengal, Hooghly, India; Rohilla V., Department of Computer Science, Maharaja Surajmal Institute of Technology, New Delhi, India; Balyan A., ECE Department, Maharaja Surajmal Institute of Technology, New Delhi, India; Mann S., Department of IT, Maharaja Surajmal Institute of Technology, New Delhi, India https://archives.christuniversity.in/files/original/6f05c4ab12de7b90895f000b08a607ce.jpg 0b6dfeeadbd8dbf97f5aef738454f6b9 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 Intelligent system for automatically identifying electric vehicle charging voltage using artificial intelligence & machine learning / Subject The topic of the resource Artificial Intelligence & Machine Learning Description An account of the resource Patent Number: 2020221002835, Applicant: Dr. Atul Kumar. Creator An entity primarily responsible for making the resource N, Preethi. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1Jm_Dn18ipVN_HPsZeScEjsps0e21SrGJ/view" target="_blank" title="Intelligent system for automatically identifying electric vehicle charging voltage using artificial intelligence & machine learning /" rel="noreferrer noopener">https://drive.google.com/file/d/1Jm_Dn18ipVN_HPsZeScEjsps0e21SrGJ/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 2022-05-14 Language A language of the resource English Type The nature or genre of the resource Patent 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 Varghese, Krupa K.; Adinarayana, J. Title A name given to the resource Intelligent Systems for Safety and Well-Being: Legal and Ethical Challenges in AI-Driven Healthcare Systems in India 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 Lecture Notes in Networks and Systems;Volume;1783 LNNS;pp.129-148 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-95-5923-7_8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-95-5923-7_8</a> <a href="https://www.scopus.com/pages/publications/105039268627?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105039268627?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 Varghese K.K., School of Law, Christ (Deemed to be University), Bangalore, India; Adinarayana J., School of Law, Christ (Deemed to be University), Bangalore, India Description An account of the resource Artificial Intelligence (AI), being one of the most utilized technologies, provides a wide range of opportunities and puts forward major challenges as well. The integration of artificial intelligence into the healthcare sector has the potential to improve the healthcare provided to patients. Artificial intelligence holds great promise for health, but also comes with serious challenges, including unethical data collection, cybersecurity threats, and amplifying biases or misinformation, said Dr. Tedros Adhanom Ghebreyesus, WHO Director-General.The government of India has grabbed all the opportunities to accommodate AI in various sectors and become one of the technologically advanced nations. The healthcare sector is one of these sectors. However, there are also ethical issues, such as informed consent, bias, transparency, andpatient rights, that are being constantly raised. Also, there arelegal issues, such as liability and data protection. Implementation, cost, andaccessibility are some of the practical issues that might arise. The Indian government has taken certain initiatives, such as the release of the National Strategy for Artificial Intelligence by NITI Aayog. These guidelines and unregulated principles are informative but not sufficient. There is a need for a legislative imperative that combines ethical principles with normative standards mandated by overarching laws and sector-specific regulations. This approach aims to protect individual rights, ensure transparency, and foster accountability in AI systems. The regulation should be adaptable and flexible to support innovation while minimizing risks and ensuring human rights and values are protected. This study focuses on the ethical and legal challenges that arise while integrating AI into the healthcare sector in India. The study discusses safety, liability, bias, data privacy, and International best practices while using AI in healthcare. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. Subject The topic of the resource Artificial Intelligence (AI); Data protection; Ethical and legal challenges; Healthcare sector; Regulatory framework Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981955922-0; 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