Artificial Intelligence Applications for Smart Societies: Recent Advances

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.