Empowering AI Applications in Smart Life and Environment
About this ebook
The chapters are divided into two broad parts, the first part of this book discusses "Artificial Intelligence in Smart Systems, Environments and Security" inclusive of, but not limited to AI-based energy efficiency, object detection, defect detection in smart infrastructure, AI-driven IoT platforms, and strategies of machine learning for cybersecurity. The second part entitled "Artificial Intelligence in Smart Healthcare and Sustainability" shows how AI helps in the multi-class diagnosis of skin diseases, elderly care, and enhancement of post-consumer plastics recycling. This book is an intense exercise in learning about the various ways AI can make environments smarter, sustainable, and secure.
About the author
Nour Eldeen M. Khalifa received his B.Sc., M.Sc., and Ph.D. degree in 2006, 2009 and 2013 respectively, all from Cairo University, Faculty of Computers and Artificial Intelligence, Cairo, Egypt. He also had a Professional M.Sc. Degree in Cloud Computing in 2018. He authored/coauthored more than 50 publications and 3 edited books. He had more than 3500 citations. His name is included in the Stanford list for the top 2% percent scholars around the world. He is an associate editor for PLOS ONE Journal. He reviewed several papers for international journals and conferences including (Scientific Reports, IEEE IoT, Neural Computing, Artificial Intelligence Review). Currently, he is an associate professor at Faculty of Computers and Artificial Intelligence, Cairo University. His research interests include wireless sensor networks, cryptography, multimedia, network security, machine, and deep learning.
Mohamed Hamed N. Taha received the B.Sc., M.Sc., and Ph.D. degrees from the Faculty of Computers and Artificial Intelligence, Cairo University, in 2006, 2009, and 2013, respectively. He has been an Associate Professor with the Information Technology Department, Faculty of Computers and Artificial Intelligence, Cairo University, since 2016. He is a Reviewer of the IEEE internet of things journal. Deep learning, machine learning, the Internet of Things, wireless sensor networks, and blockchain are his research interests.
