This book includes selected papers from the International Conference on Next Generation of Internet of Things (ICNGIoT 2022), organized by Department of Computer Science and Engineering, School of Engineering, GIET University, Gunupur, Odisha, India, during February 3-4, 2022. The book covers topics such as IoT network design and architecture, IoT network virtualization, IoT sensors, privacy and security for IoT, SMART environment, social networks, data science and data analytics, cognitive intelligence and augmented intelligence, and case studies and applications.
This book includes selected papers from the International Conference on Next Generation of Internet of Things (ICNGIoT 2022), organized by Department of Computer Science and Engineering, School of Engineering, GIET University, Gunupur, Odisha, India, during February 3-4, 2022. The book covers topics such as IoT network design and architecture, IoT network virtualization, IoT sensors, privacy and security for IoT, SMART environment, social networks, data science and data analytics, cognitive intelligence and augmented intelligence, and case studies and applications.
Dr. Raghvendra Kumar is working as Associate Professor in Computer Science and Engineering Department at GIET University, India. He received B. Tech., M.Tech., and Ph.D. in Computer Science and Engineering, India, and Postdoc Fellow from Institute of Information Technology, Virtual Reality and Multimedia, Vietnam. He serves as Series Editor Internet of Everything (IOE): Security and Privacy Paradigm, Green Engineering and Technology: Concepts and Applications, published by CRC press, Taylor & Francis Group, USA, and Bio-Medical Engineering: Techniques and Applications, published by Apple Academic Press, CRC Press, Taylor & Francis Group, USA. He also serves as Acquisition Editor for Computer Science by Apple Academic Press, CRC Press, Taylor & Francis Group, USA. He has published number of research papers in international journals (SCI/SCIE/ESCI/Scopus) and conferences including IEEE and Springer as well as serve as Organizing Chair (RICE-2019, 2020), Volume Editor (RICE-2018), Keynote Speaker, Session Chair, Co-chair, Publicity Chair, Publication Chair, Advisory Board Member, Technical Program Committee Member in many international and national conferences and serve as Guest Editor in many special issues from reputed journals (Indexed By: Scopus, ESCI, SCI). He also published 13 chapters in edited book published by IGI Global, Springer, and Elsevier. His researches areas are computer networks, data mining, cloud computing and secure multiparty computations, theory of computer science, and design of algorithms. He authored and edited 23 computer science books in field of Internet of Things, data mining, biomedical engineering, big data, robotics, and IGI Global Publication, USA, IOS Press Netherland, Springer, Elsevier, CRC Press, USA. Prasant Kumar Pattnaik, Ph.D. (Computer Science), Fellow IETE, Senior Member IEEE is Professor at the School of Computer Engineering, KIIT Deemed University, Bhubaneswar. He has more than a decade of teaching and research experience and awarded half dozen of Ph.D. Dr. Pattnaik has published numbers of research papers in peer-reviewed international journals and conferences and filed many patents. He also edited book volumes in Springer and IGI Global Publication. His areas of interest include mobile computing, cloud computing, cyber security, intelligent systems, and brain-computer interface. He is one of the associate editors of Journal of Intelligent & Fuzzy Systems, IOS Press, and Intelligent Systems Book Series Editor of CRC Press, Taylor Francis Group João Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal, in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001 and attained his habilitation in Mechanical Engineering in 2015. He is Senior Researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and Associate Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia daUniversidade do Porto (FEUP).João Tavares is Co-editor of more than 60 books and Co-author of more than 50 chapters, 650 articles in international and national journals and conferences, and 3 international and 3 national patents. He has been Committee Member of several international and national journals and conferences, is Co-founder and Co-editor of the book series "Lecture Notes in Computational Vision and Biomechanics" published by Springer, Founder and Editor-in-Chief of the journal "Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization" published by Taylor & Francis, Editor-in-Chief of the journal "Computer Methods in Biomechanics and Biomedical Engineering" published by Taylor & Francis, and Co-founder and Co-chair of the international conference series: CompIMAGE, ECCOMAS VipIMAGE, ICCEBS, and BioDental. Additionally, he has been (co-)Supervisor of several M.Sc. and Ph.D. thesis and Supervisor of several postdoc projects and has participated in many scientific projects both as Researcher and as Scientific Coordinator. His main research areas include computational vision, medical imaging, computational mechanics, scientific visualization, human-computer interaction, and new product development.
Inhaltsangabe
IoT Assisted Crop Monitoring Using Machine Learning Algorithms for Smart Farming.- Behavioural Investigation and Analysis of Flux and Torque in Faulty Electrical Machines Using Finite Element Techniques.- A Comprehensive Survey for Internet of Things (IoT) based Smart City Architecture.- Vibration Analysis of Fluid Structure Interface for Rectangular Plate.- IoT Based Prediction of Chronic Kidney Disease Using Python and R based on Machine and Deep Learning Algorithms.- Evaluating Various Classifiers for Iraqi Dialectic Sentiment Analysis.- Sentiment Analysis Of Software Project Code Commits.- Internet of Robotic Things: Issues and Challenges in the era of Industry 4.0.- Security Issues and Vulnerabilities in Web Application.- A Systematic Review on Usability of mHealth Applications on Type 2 Diabetes Mellitus.
IoT Assisted Crop Monitoring Using Machine Learning Algorithms for Smart Farming.- Behavioural Investigation and Analysis of Flux and Torque in Faulty Electrical Machines Using Finite Element Techniques.- A Comprehensive Survey for Internet of Things (IoT) based Smart City Architecture.- Vibration Analysis of Fluid Structure Interface for Rectangular Plate.- IoT Based Prediction of Chronic Kidney Disease Using Python and R based on Machine and Deep Learning Algorithms.- Evaluating Various Classifiers for Iraqi Dialectic Sentiment Analysis.- Sentiment Analysis Of Software Project Code Commits.- Internet of Robotic Things: Issues and Challenges in the era of Industry 4.0.- Security Issues and Vulnerabilities in Web Application.- A Systematic Review on Usability of mHealth Applications on Type 2 Diabetes Mellitus.
IoT Assisted Crop Monitoring Using Machine Learning Algorithms for Smart Farming.- Behavioural Investigation and Analysis of Flux and Torque in Faulty Electrical Machines Using Finite Element Techniques.- A Comprehensive Survey for Internet of Things (IoT) based Smart City Architecture.- Vibration Analysis of Fluid Structure Interface for Rectangular Plate.- IoT Based Prediction of Chronic Kidney Disease Using Python and R based on Machine and Deep Learning Algorithms.- Evaluating Various Classifiers for Iraqi Dialectic Sentiment Analysis.- Sentiment Analysis Of Software Project Code Commits.- Internet of Robotic Things: Issues and Challenges in the era of Industry 4.0.- Security Issues and Vulnerabilities in Web Application.- A Systematic Review on Usability of mHealth Applications on Type 2 Diabetes Mellitus.
IoT Assisted Crop Monitoring Using Machine Learning Algorithms for Smart Farming.- Behavioural Investigation and Analysis of Flux and Torque in Faulty Electrical Machines Using Finite Element Techniques.- A Comprehensive Survey for Internet of Things (IoT) based Smart City Architecture.- Vibration Analysis of Fluid Structure Interface for Rectangular Plate.- IoT Based Prediction of Chronic Kidney Disease Using Python and R based on Machine and Deep Learning Algorithms.- Evaluating Various Classifiers for Iraqi Dialectic Sentiment Analysis.- Sentiment Analysis Of Software Project Code Commits.- Internet of Robotic Things: Issues and Challenges in the era of Industry 4.0.- Security Issues and Vulnerabilities in Web Application.- A Systematic Review on Usability of mHealth Applications on Type 2 Diabetes Mellitus.
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