Artificial Intelligence Applications for Smart Societies

Dr. Mohamed Elhoseny is an Assistant Professor at the Faculty of Computers and Information, Mansoura University and a researcher at CoVIS Lab, Department of Computer Science and Engineering, University of North Texas. Dr. Elhoseny has authored/co-authored over 100 ISI Journal articles, Conference Proceedings, Book Chapters, and six books. His research interests include Network Security, Cryptography, Machine Learning Techniques, Internet of Things, and Quantum Computing.
Dr. K. Shankar is an Assistant Professor at the School of Computing, Kalasalingam Academy of Research and Education, Krishnankoil, India. He has several years of experience in research, academia, and teaching. Dr. Shankar has authored/co-authored over 35 ISI Journal articles, and guest-edited several special issues at many journals published by Inderscience and MDPI. His current research interests include Secret Image Sharing Scheme, Digital Image Security, Cryptography, Internet of Things, Healthcare applications and Optimization algorithms.
Dr. Mohamed Abdel-Baset is an Assistant Professor in the Faculty of Computers and Informatics at Zagazig University, Egypt. His current research interests are Mathematical Optimization, Operations Research, Data Mining, Computational Intelligence, Applied Statistics and Decision support systems.

Chapter 1-Simulation, deployment, and testbed platforms for WSNs in Smart Cities..- Chapter 2-Accessibility, resilience, and security of IoT infrastructures for Smart Cities..- Chapter 3-Real-time information systems for intelligent transportation systems in Smart Cities..- Chapter 4-Mobile apps and WSN applications integrated in Smart Cities..- Chapter 5-AI techniques for devices and embedded systems in Smart Cities..- Chapter 6-Data processing..- Chapter 7-Self-learning..- Chapter 8-Computing and sensing infrastructures..- Chapter 9-Evolutionary algorithms for data mining in IoT based smart societies..- Chapter 10-Cloud computing-based evolutionary algorithms for IoT..- Chapter 11-Artificial intelligence algorithms for processing medical data in IoT..- Chapter 12-Machine learning for data processing in IoT based smart societies..- Chapter 13-Intelligent face recognition system using neural learning for smart security in IoT..- Chapter 14-Distributed attack detection using a deep neural network approach for IoT..- Chapter 15-Modeling and optimizing features selection in data system-based social IoT..- Chapter 16-Crowdsourcing systems and services for smart cities..- Chapter 17-Network communications technology for smart cities..- Chapter 18-Human mobility models for smart cities..- Chapter 19-Application of pervasive and mobile computing technology for smart cities..- Chapter 20-Safety, security, privacy and trust in applications and services for smart cities..- Chapter 21-Fault tolerance, reliability and survivability in smart cities..- Chapter 22-Multi-sourced heterogeneous data acquisition and fusion for smart cities..- Chapter 23-Case studies and test beds.