Proceedings of Trends in Electronics and Health Informatics (eBook, PDF)

TEHI 2021
Redaktion: Kaiser, M. Shamim; Nagar, Vishal; Singh, Raghvendra; Ray, Kanad; Bandyopadhyay, Anirban

• Format: PDF

Produktbeschreibung

This book includes selected peer-reviewed papers presented at the International Conference on Trends in Electronics and Health Informatics (TEHI 2021), organized by Department of Electronics and Communication Engineering and Department of Computer Science and Engineering, Pranveer Singh Institute of Technology Kanpur, India, during 16-17 December 2021. The book is broadly divided into five sections-artificial intelligence and soft computing, healthcare informatics, Internet of things and data analytics, electronics, and communications.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 667
• Erscheinungstermin: 21. März 2022
• Englisch
• ISBN-13: 9789811688263
• Artikelnr.: 63638294

Autorenporträt

Dr. M Shamim Kaiser is currently working as Professor at the Institute of Information Technology of Jahangirnagar University, Savar, Dhaka-1342, Bangladesh. He received his Bachelor's and Master's degrees in Applied Physics Electronics and Communication Engineering from the University of Dhaka, Bangladesh, in 2002 and 2004, respectively, and the Ph. D. degree in Telecommunication Engineering from the Asian Institute of Technology, Thailand, in 2010. His current research interests include data analytics, machine learning, wireless network and signal processing, cognitive radio network, big data and cyber-security, renewable energy. He has authored more than 100 papers in different peer-reviewed journals and conferences. He is Associate Editor of the IEEE Access Journal, Guest Editor of Brain Informatics Journal and Cognitive Computation Journal. Dr. Kaiser is Life Member of Bangladesh Electronic Society; Bangladesh Physical Society. He is also Senior Member of IEEE, USA, and IEICE, Japan, and Active Volunteer of the IEEE Bangladesh Section. He is Founding Chapter Chair of the IEEE Bangladesh Section Computer Society Chapter. Dr Kaiser organized various international conferences such as ICEEICT 2015-2018, IEEE HTC 2017, IEEE ICREST 2018 and BI2020. Anirban Bandyopadhyay is Senior Scientist in the National Institute for Materials Science (NIMS), Tsukuba, Japan. He completed Ph.D. from Indian Association for the Cultivation of Science (IACS), Kolkata 2005, December, on supramolecular electronics; 2005-2007: ICYS Research Fellow NIMS, Japan; 2007-now, permanent Scientist in NIMS, Japan; 10 patents on building artificial organic brain, big data, molecular bot, cancer & Alzheimer drug, fourth circuit element, etc.; 2013-2014 Visiting Scientist in MIT, USA, on biorhythms; World Technology Network, WTN Fellow, (2009-continued); Hitachi Science and Technology Award 2010, Inamori Foundation Award 2011-2012, Kurata Foundation Award, Inamori Foundation Fellow (2011), Sewa Society International SSS Fellow (2012), Japan; SSI Gold medal (2017). Kanad Ray (Senior Member, IEEE) received the M.Sc. degree in physics from Calcutta University and the Ph.D. degree in physics from Jadavpur University, West Bengal, India. He has been Professor of Physics and Electronics and Communication and is presently working as Head of the Department of Physics, Amity School of Applied Sciences, Amity University Rajasthan (AUR), Jaipur, India. His current research areas of interest include cognition, communication, electromagnetic field theory, antenna and wave propagation, microwave, computational biology and applied physics. He has been serving as Editor for various Springer book series. He was Associate Editor of the Journal of Integrative Neuroscience (The Netherlands: IOS Press). He has been Visiting Professor to UTM & UTeM, Malyasia and Visiting Scientist to NIMS, Japan. He has established MOU with UTeM Malaysia, NIMS Japan and University of Montreal, Canada. He has visited several countries such as Netherlands, Turkey, China, Czechoslovakia, Russia, Portugal, Finland, Belgium, South Africa, Japan, Singapore, Thailand, Malaysia, etc., for various academic missions. He has organized various conferences such as SoCPROS, SoCTA, ICOEVCI, TCCE. as General Chair and Steering Committee Member. Dr. Raghvendra Singh is currently working as Associate Professor at Pranveer Singh Institute of Technology, Kanpur Uttar Pradesh India. He received Bachelor's and Master's degrees in Electronics and Communication Engineering from UPTU University, Lucknow, National Institute of Technology, Jaipur, in 2004 and 2011, respectively, and Ph.D. degree in Wireless communication using Implantable and Wearable Antennas from JKLU, Jaipur, in 2019. His research includes wireless body area network for health care, microwave communication and antennas for WBAN. He has authored more than 21 papers in different peer-reviewed journals and conferences and 6 book chapters in reputed publishing houses. He is guiding many research scholars in the capacity of Guide. Dr. Raghvendra Singh is Life Member of ISTE and Member of IEEE. Dr. Vishal Nagar is currently working as Professor at Pranveer Singh Institute of Technology, Kanpur Uttar Pradesh India. He received Bachelor's and Master's degrees and Ph.D. degree in Computer Science & Engineering in 2004, 2008 and 2012, respectively. His interest in research includes multicast routing in the field of computer network, machine learning and blockchain. He has authored more than 35 papers in different peer-reviewed journals and conferences and 5 book chapters in repudiated publishing houses like Springer and Wiley publications. He is guiding many research scholars in the capacity of Guide and Co-Guide fromvarious universities. He has experience of organizing National and International Conferences. Dr. Nagar is Life Member of the Computer Society of India and IEEE.

Inhaltsangabe

A Heuristic Approach for Analyzing Some Reading Behaviors of Online News Viewers Using RF and KNN.- Automatic Image Classication and Abnormality Identification Using Machine Learning.- A Review of Speech Sentiment Analysis using Machine Learning.- Performance Evaluation of Enhancement Algorithm for Contrast Distorted Images.- MHGSO: A Modified Hunger Game Search Optimizer Using Opposition-Based Learning for Feature Selection.- Analysis of Hyperspectral Image Denoising Using Deep Neural Network (DNN) Models.- Significance of Source Information in Hypernasality Detection.- Estimation in Agile Software Development using Artificial Intelligence.- Human Fall Detection Analysis with Image Recognition Using Convolutional Neural Network Approach.- A Method for Detecting Epileptic Seizure in Pediatrics Patients based on EEG Signals.