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Synopsis
MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN
The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication.
Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning.
Highlights of the book include:
- Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT
- Security of the Internet of Things using blockchain and AI
- Developing smart cities and transportation systems using machine learning and IoT
Audience
The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.
"synopsis" may belong to another edition of this title.
About the Author
Krishna Kant Singh is an associate professor in the Faculty of Engineering & Technology, Jain (Deemed-to-be University), Bengaluru, India. Dr. Singh has acquired BTech, MTech, and PhD (IIT Roorkee) in the area of machine learning and remote sensing. He has authored more than 50 technical books and research papers in international conferences and SCIE journals.
Akansha Singh is an associate professor in the Department of Computer Science Engineering in Amity University, Noida, India. Dr. Singh has acquired BTech, MTech, and PhD (IIT Roorkee) in the area of neural networks and remote sensing. She has authored more than 40 technical books and research papers in international conferences and SCIE journals. Her area of interest includes mobile computing, artificial intelligence, machine learning, digital image processing.
Sanjay Kumar Sharma PhD is professor and Head in the Department of Electronics and Communication Engineering at KIET Group of Institutions. Dr. Sanjay Sharma has a total of 24 years of teaching and research experience. He has more than 45 publications in journals and international conferences.
From the Back Cover
The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication.
Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning.
Highlights of the book include:
- Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT
- Security of the Internet of Things using blockchain and AI
- Developing smart cities and transportation systems using machine learning and IoT
Audience
The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology.
"About this title" may belong to another edition of this title.
- PublisherWiley-Scrivener
- Publication date2021
- ISBN 10 1119761743
- ISBN 13 9781119761747
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages256
- EditorSingh Krishna Kant, Singh Akansha, Sharma Sanjay K.
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Hardcover. Condition: new. Hardcover. MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAIN The unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication. Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning. Highlights of the book include: Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and ITSecurity of the Internet of Things using blockchain and AIDeveloping smart cities and transportation systems using machine learning and IoT Audience The target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781119761747
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Condition: New. Krishna Kant Singh is an associate professor in the Faculty of Engineering & Technology, Jain (Deemed-to-be University), Bengaluru, India. Dr. Singh has acquired BTech, MTech, and PhD (IIT Roorkee) in the area of machine learning and remote sensing. He has . Seller Inventory # 410578640
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Buch. Condition: Neu. Neuware - MACHINE LEARNING APPROACHES FOR CONVERGENCE OF IOT AND BLOCKCHAINThe unique aspect of this book is that its focus is the convergence of machine learning, IoT, and blockchain in a single publication.Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. Although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers, and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning.Highlights of the book include:\* Examines many industries such as agriculture, manufacturing, food production, healthcare, the military, and IT\* Security of the Internet of Things using blockchain and AI\* Developing smart cities and transportation systems using machine learning and IoTAudienceThe target audience of this book is professionals and researchers (artificial intelligence specialists, systems engineers, information technologists) in the fields of machine learning, IoT, and blockchain technology. Seller Inventory # 9781119761747
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