Iot With Smart Systems
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Interoperability in IoT for Smart Systems
"Interoperability in an IoT system is essential for going through layers of physical network, communication, and application functions. A comprehensive approach is needed to address and solve then interoperability issues of IoT devices and services from different layers. Considering these factors, proposed book discusses about different facets of interoperability issues among the IoT devices and their solutions, the scalability issues in an IoT network and provide solution for plug-n-play of new devices with the existing IoT system. It also discusses the possible usage of interoperable and plug-n-play IoT networks in different systems to make them smarter"--
Smart Systems and IoT: Innovations in Computing
The book features original papers from the 2nd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2019), presenting scientific work related to smart solution concepts. It discusses computational collective intelligence, which includes interactions between smart devices, smart environments and smart interactions, as well as information technology support for such areas. It also describes how to successfully approach various government organizations for funding for business and the humanitarian technology development projects. Thanks to the high-quality content and the broad range of the topics covered, the book appeals to researchers pursuing advanced studies.
Machine Learning and IoT for Intelligent Systems and Smart Applications
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.