Preface

Machine learning approaches are highly considered in almost each application domain area. The continuous growth of computational approaches motivates the editors to work in this area. The editors worked and gather various book chapters based on the “Industrial Internet of Things: An Introduction” and selected a few chapters for this book.

The book content categorizes into various subdomains starting with an introduction to computational techniques, and the importance of computational techniques in Industrial IoT. Various challenges and issues related to computational techniques in Industrial IoT. The book also covers currently hot areas of IIoT that are mainly healthcare informatics, transportation system, etc. Case studies also related to designing and testing the IIoT frameworks were also highlighted. The book shared the implications of waste management for boosting the national economy. Some legal policies were also discussed before concluding the book.

The editors have good knowledge in the area of machine learning and deep learning techniques. The research interest of Mr. Sunil Kumar is deep learning in information analysis in the agricultural domain; Ms. Gaytri Bakshi is working in the area of deep learning approaches for Industrial information processing; Ms. Silky Goel has an interest in computer vision and deep learning techniques. Mr. Siddharth Gupta is keen interested in image processing with machine learning approaches. Mr. El-Sayed M. El-kenawy has been working in advanced ML techniques. This book is edited by these five editors with a good review process.