IoT and Machine Learning for Smart Applications
Language: English
Published by Chapman And Hall/CRC, 2025
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields.Features: Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applicationsCovers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applicationsDescribes how various methods are used to extract higher- level information from IoT- generated dataPresents the latest technologies and research findings on IoT for smart applicationsFocuses on how machine learning algorithms are used in various real- world smart applications and engineering problemsIt is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields.…
Seller Inventory # 9781032621081
- Title
- IoT and Machine Learning for Smart Applications
- Author
- G. Vennira Selvi
- Publisher
- Chapman And Hall/CRC
- Publication year
- 2025
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1032621087
- ISBN 13
- 9781032621081
- Item weight
- 487 grams
- Dimensions
- 240x161x16 mm
This book provides an illustration of the various methods and structures that are utilized in machine learning to make use of data that is generated by IoT devices. Numerous industries utilize machine learning, specifically machine learning-as-a-service (MLaaS), to realize IoT to its full potential. On the application of machine learning to smart IoT applications, it becomes easier to observe, methodically analyze, and process a large amount of data to be used in various fields.
Features:
- Explains the current methods and algorithms used in machine learning and IoT knowledge discovery for smart applications
- Covers machine- learning approaches that address the difficulties posed by IoT- generated data for smart applications
- Describes how various methods are used to extract higher- level information from IoT- generated data
- Presents the latest technologies and research findings on IoT for smart applications
- Focuses on how machine learning algorithms are used in various real- world smart applications and engineering problems
It is a ready reference for researchers and practitioners in the field of information technology who are interested in the IoT and Machine Learning fields.
"Synopsis" may belong to another edition of this title.
About the Author
G. Vennira Selvi is Professor at the School of Computer Science and Engineering and Information Science at Presidency University, Bengaluru, India. She received her Doctorate Degree in Computer Science and Engineering from Pondicherry University, Pondicherry in 2018 and M.E. degree in Computer Science and Engineering from Manonmaniam Sundaranar University, Tirunelveli. She has published 20 papers in reputed international journals, 6 papers as part of international conferences, and 12 papers as part of national conferences. She has published two books and nine book chapters. She has received eight Indian patents, one Design grant patent, and one international patent. She has 22 years of teaching experience in undergraduate and postgraduate courses. Her current research areas are IoT, wireless sensor networks, machine learning, and artificial intelligence.
T.Ganesh Kumar works as Associate Professor in the School of Computing Science and Engineering at Galgotias University, NCR, Delhi. He received an M.E. degree in Computer Science and Engineering from Manonmaniam Sundaranar University, Tamil Nadu, India. He completed his full- time Ph.D. degree in Computer Science and Engineering at Manonmaniam Sundaranar University. He was Co- Investigator for two Government of India- sponsored funded projects. He has publications in many reputed international Science Citation Index and Scopus indexed journals and conference proceedings. He has published more than ten Indian patents.
M. Prasad received his B.Tech, M.Tech, and doctorate degrees in Information Technology, Information Security, and Mobile Communication from Pondicherry University, Pondicherry, in 2008, 2010, and 2017, respectively. He is currently working in VIT Chennai campus School of Computing Science and Engineering. His current areas of research include IoT, security in mobile communication, cyber physical systems, machine learning, and artificial intelligence. He is having various professional memberships like IEEE, ACM, CSI, and Internet Society of India. He has published in more than 20 journals and holds 10 patents to his name.
Raju Hajare is Professor at the BMS Institute of Technology and Management. He is a doctorate in the field of “Nano Devices Modeling and Simulation”. He has 19 years of academic and 2 years of industry experience at various levels of organizations. Dr. Raju has published more than 30 quality research publications in reputed Scopusindexed international journals and IEEE proceedings. Professor Raju has two textbooks to his credit in the domain of electronics.
Priti Rishi is Associate Professor at the College of Engineering and Technology, SRM Institute of Engineering and Technology, Vadapalani Campus, Chennai. She received an M.E. degree in Electronics and Communication Engineering from Thapar Institute of Engineering and Technology, Punjab, India. She completed her part-time Ph.D. degree at the Faculty of Information and Communication Engineering at Anna University Chennai. She has multiple publications to her credit and holds more than three Indian patents.
"About the title" may belong to another edition of this title.
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