Self-powered Sensors: A Path to Wearable Electronics
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★★★★★
English
Self-powered Sensors: A Path to Wearable Electronics features recent developments in chemical, photonic, pharmaceutical, microbiological, biomimetic, and bio-inspired approaches for MEMS/NEMS and medicinal self-powered sensors. Unconventional nanomaterial sensors driven by self-sufficient energy are given a contemporary review, with a focus on the categorization of energy sources and comparisons of research involving self-powered solar, piezoresistive, triboelectric, and thermodynamic technologies. This book also focuses on the different techniques, materials, comparisons of fabrication of self-powered sensors as well as thermoelectric self-powered sensors and its implantable applications.
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Will deliver when available. Publication date 27 Sep 2024
Product Details
Weight: 450g
Dimensions: 152 x 229mm
Publication Date: 27 Sep 2024
Publisher: Elsevier Science Publishing Co Inc
Publication City/Country: United States
Language: English
ISBN13: 9780443137921
About
Dr. Rajesh Kumar Dhanaraj is a professor at the Symbiosis International (Deemed University) in Pune India. His research and publication interests include cyber-physical systems wireless sensor networks and cloud computing. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) a member of the Computer Science Teacher Association (CSTA) and member of the International Association of Engineers (IAENG). He is an expert advisory panel member of Texas Instruments Inc. (USA) and an associate editor of International Journal of Pervasive Computing and Communications (Emerald Publishing). Dr Prithi Samuel is currently working as an assistant professor in the Department of Computational Intelligence at SRM Institute of Sci?ence and Technology Kattankulathur Campus Chennai. She has completed her Ph.D. in Information and Communication Engineering from Anna University Chennai. She has got over 15 years of teaching experience in reputed engineering colleges in Tamil Nadu. She is a pioneer researcher in the areas of Automata Theory Machine Learn?ing Deep Learning Computational Intelligence Techniques and the Internet of Things. She has published more than 25 papers in leading SCI and Scopus Journals and more than 25 papers in International Conferences and published 1 book and more than 10 book chapters in Wiley Taylor and Francis Springer and Elsevier and published 4 patents and 2 patent grants. She is an active IEEE ACM Member and holds an ISTE and IAENG lifetime membership Dr. Malathy holds a PhD in Information and Communication Engineering by Anna University Chennai India. Her research areas include wireless sensor networks Internet of Things and applied machine learning. She is a life member of the Indian Society for Technical Education (ISTE) and the International Association of Engineers (IAENG). She is an active author/editor for Springer CRC Press and Elsevier. She is also a reviewer for Wireless Networks (Springer) and on the editorial board at many international conferences. Dr. Balamurugan Balusamy is currently working as an Associate Dean Student in Shiv Nadar Institution of Eminence Delhi-NCR. He is part of the Top 2% Scientists Worldwide 2023 by Stanford University in the area of Data Science/AI/ML. He is also an Adjunct Professor Department of Computer Science and Information Engineering Taylor University Malaysia. His contributions focus on engineering education block chain and data sciences. Dr. Vinayakumar Ravi is an Assistant Research Professor at the Center for Artificial Intelligence Prince Mohammad Bin Fahd University Khobar Saudi Arabia. Dr. Ravi has been a Postdoctoral Research Fellow developing and implementing novel computational and machine learning algorithms and applications for big data integration and data mining with Cincinnati Children's Hospital Medical Center Cincinnati USA. He received his Ph.D. in Computer Science from Amrita School of Engineering Coimbatore India. His current research interests include applications of data mining Artificial Intelligence machine learning and deep learning for biomedical informatics cyber security image processing and natural language processing. Dr. Ravi is editor of Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics Springer. Dr. Ravi is an editorial board member for Journal of the Institute of Electronics and Computer (JIEC) International Journal of Digital Crime and Forensics (IJDCF) and he has organized a shared task force on detecting malicious domain names (DMD 2018) as part of SSCC'18 and ICACCI'18.