Empowering AI Applications in Smart Life and Environment

"Empowering AI Applications in Smart Life and Environment" provides a comprehensive exploration of how artificial intelligence (AI) can transform smart environments and contribute to sustainable living. It investigates the integrating of AI with visual, audio, and haptic devices that can revolutionize energy optimization, intelligent transportation, healthcare management, smart farming, and smart homes. The book aims to highlight the latest research and developments in AI applications that drive the enhancement of smart environments and sustainable life.

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.

Integrates a wide variety of real-world AI applications in various smart environments and industries Offers case studies showcasing AI's role in sustainability and healthcare transformation Combines insights from global AI experts, offering a multidisciplinary approach to smart living

Autorentext

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.

Inhalt

Part-I Chapter 1-Smart Home Systems and Energy Efficiency in Daily Lives.- Chapter 2- Advanced Object Tracking for Empowering Smart Environments: A Comparative Review.- Chapter 3-Safeguarding Smart Infrastructure: A Review of Deep Learning Techniques for Automatic Pipeline Defect Detection.- Chapter 4-AI enabled Smart IoT data Platform.- Chapter 5-Automated Mango Quality Assessment in Smart Environments: A Custom YOLO Model for Surface Characteristic Analysis.- Chapter 6: Machine Learning and Deep Learning for Cybersecurity in Smart Environments.- Part-II Chapter 7-Deep Learning-Based Multiclass Skin Disease Diagnosis Toward Sustainable Healthcare.- Chapter 8-AI Integration Acceptance in Elderly Care Institutions: A Step Toward a Smarter Life.- Chapter 9 Using AI to Improve Post-Consumer Plastics Recycling for Sustainability in A Smart Environment.