The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects.
Features:
Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications.
Discusses supervised and unsupervised machine learning for IoT data and devices.
Presents an overview of the different algorithms related to Machine learning and IoT.
Covers practical case studies on industrial and smart home automation.
Includes implementation of AI from case studies in personal and industrial IoT.
This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.
Machine Learning and IoT for Intelligent Systems and Smart Applications
RRP:
$296.00
Description
The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects.
Features:
Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications.
Discusses supervised and unsupervised machine learning for IoT data and devices.
Presents an overview of the different algorithms related to Machine learning and IoT.
Covers practical case studies on industrial and smart home automation.
Includes implementation of AI from case studies in personal and industrial IoT.
This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.
The fusion of the Internet of Things (IoT) with the prowess of Machine Learning and Deep Learning has ignited a revolution in the realm of technology. "IoT Application of Machine Learning and Deep...
This book is a collection of peer-reviewed best selected research papers presented at the First International Conference on Machine Intelligence and Smart Systems 2020 (MISS 2020), organized during...
This book gathers selected research papers presented at the International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications (ICMISC 2020), held on 29-30 March 2020...
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