Cantitate/Preț
Produs

IoT and Machine Learning for Smart Applications

Editat de G. Vennira Selvi, T. Ganesh Kumar, M. Prasad, Raju Hajare, Priti Rishi
en Limba Engleză Hardback – 5 mar 2025
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 put to use in various fields.
  • 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.
Citește tot Restrânge

Preț: 73239 lei

Preț vechi: 98986 lei
-26% Nou

Puncte Express: 1099

Preț estimativ în valută:
14016 14698$ 11687£

Carte nepublicată încă

Doresc să fiu notificat când acest titlu va fi disponibil:

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781032621081
ISBN-10: 1032621087
Pagini: 216
Ilustrații: 104
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC

Public țintă

Academic

Cuprins

1. Recent Advances in Machine Learning Strategies and its Applications 2. Understanding the Concept of IoT 3. Unlocking the Power of IoT: An In-Depth Exploration 4. Machine Learning in Internet of Things 5. Role of Machine Learning in Real Life Environment 6. Efficient Blockchain Based Edge Computing System Using Transfer Learning Model 7. Introducing a Compact and High-Speed Machine Learning Accelerator for IoT enabled health monitoring systems 8. Realization of smart city based on IoT and AI 9. Sentiment Analysis of airline tweets using Machine Learning Algorithms and Regular Expression 10. Smart Workspace Automation: Harnessing IoT and AI for Sustainable Urban Development and Improved Quality of Life 11. Application of Digital Image Watermarking in the Internet of Things and Machine Learning

Notă biografică

G. Vennira Selvi, is Professor of the School of Computer Science and Engineering and Information Science at Presidency University, Bangalore. 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 at 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 2 books and 9 book chapters. She has received 8 Indian patents, 1 design grant patent and 1 international patent. She has 22 years of teaching experience in UG and PG courses. Her current research areas are IoT, Wireless Sensor Networks, Machine Learning and Artificial Intelligence.
 
Dr.T.Ganesh Kumar works as an Associate Professor at the School of Computing Science and Engineering at Galgotias University, NCR, Delhi. He received an ME degree in Computer Science and Engineering from Manonmaniam Sundaranar University, Tamilnadu, India. He completed his full-time PhD 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 SCI and Scopus indexed journals and conference proceedings. He has been granted more than 10 Indian patents.
 
M. Prasad received the B.Tech, M.Tech and Doctorate Degree 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 area of research IoT, Security in Mobile Communication, Cyber Physical Systems, Machine Learning and Artificial Intelligence. He has published in more than 20 journals and holds10 patents to his name.
Raju Hajare works as a Professor, at the BMS Institute of Technology and Management. He is a doctorate in the field of “Nano Devices Modelling 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 Scopus-indexed international Journals and IEEE proceedings. He has two textbooks in the Electronics domain to his credit.
Priti Rishi works as an Associate Professor at the College of Engineering and Technology, SRM Institute of Engineering and Technology, Vadaplani 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 under the faculty of Information and Communication Engineering at Anna University Chennai. She has multiple publications and holds more than 3 Indian patents.

Descriere

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.