| Title | : | Artificial Intelligence-based Internet of Things Systems |
|---|---|---|
| Author | : | Souvik Pal, Debashis De & Rajkumar Buyya |
| Release | : | 2022-01-11 |
| Kind | : | ebook |
| Genre | : | Electrical Engineering, Books, Professional & Technical, Engineering, Computers & Internet, Computers, Software |
| Size | : | 43141099 |
| The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects. Addresses the complete functional framework workflow in AI-enabled IoT ecosystem;Presents intelligent object identification and object discovery through the IoT ecosystem and its implications to the real world;Explores security and privacy issues and trustworthy machine learning related to data-intensive technologies in AI-based IoT ecosystems. |
