Название: Artificial Intelligence Techniques in IoT Sensor Networks (Chapman & Hall/CRC Distributed Sensing and Intelligent Systems Series)
Автор: Mohamed Elhoseny (Editor), K Shankar (Editor), Mohamed Abdel-Basset (Editor)
Издательство: CRC Press
Год: 2021
Формат: True PDF
Страниц: 232
Размер: 25.5 Mb
Язык: English

Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers, academicians, students and professionals interested in artificial intelligence (AI), sensor networks and Internet of Things (IoT). This book is intended to develop a shared understanding of applications of AI techniques in the present and near term. The book maps the technical impacts of AI technologies, applications and their implications on the design of solutions for sensor networks.
This text introduces researchers and aspiring academicians to the latest developments and trends in AI applications for sensor networks in a clear and well-organized manner. It is mainly useful for research scholars in sensor networks and AI techniques. In addition, professionals and practitioners working on the design of real-time applications for sensor networks may benefit directly from this book. Moreover, graduate and master’s students of any departments related to AI, IoT and sensor networks can find this book fascinating for developing expert systems or real-time applications.
This book is written in a simple and easy language, discussing the fundamentals, which relieves the requirement of having early backgrounds in the field. From this expectation and experience, many libraries will be interested in owning copies of this work.