- Softcover
- New
Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
£ 132.94
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Add to basketItem description from seller
Presents state-of-the-art technologies and advancements in the design and application of self-powered sensorsExamines the advantages and disadvantages of self-powered nanomaterial sensors in terms of energy collecting techniques and sensing.
Seller Inventory # 1044181571
- Title
- Self-powered Sensors
- Publisher
- Elsevier Science
- Publication year
- 2024
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0443137927
- ISBN 13
- 9780443137921
- Presents state-of-the-art technologies and advancements in the design and application of self-powered sensors
- Examines the advantages and disadvantages of self-powered nanomaterial sensors in terms of energy collecting techniques and sensing applications
- Reviews the incorporation of self-operating devices and novel uses for neuromorphic sensors
"Synopsis" may belong to another edition of this title.
About the Author
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 from 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 in the Department of Computer Science and Information Engineering, Taylor University, Malaysia. His contributions focus on engineering education, blockchain, 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.
"About the title" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
| Item | 26 to 60 business days | 26 to 60 business days |
|---|---|---|
| First item | £ 42.03 | £ 42.03 |
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Moluna GmbH
Engberdingdamm 27
Greven, Germany 48268
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