Chapter 1. Protocol Design for Earthquake Alert and Evacuation in Smart Buildings -- Chapter 2. Impact of Internet of Things and Clinical Decision Support System in Healthcare -- Chapter 3. Smart Healthcare Support Using Data Mining and Machine Learning -- Chapter 4. Window Functions for Phasor Signal Processing of Wide Area Measurement in Smart Grid Communications -- Chapter 5. Facens Smart Campus Integrated Dashboard: A Use case applied for Energy Efficiency -- Chapter 6. Cloud Internet of Things in Medical and Smart Healthcare Applications -- Chapter 7. Tornado Forecast Visualization for Effective Rescue Planning -- Chapter 8. Situational Awareness for Law Enforcement and Public Safety Agencies Operating in Smart Cities-Part I -- Chapter 9. Situational Awareness for Law Enforcement and Public Safety Agencies Operating in Smart Cities: Part II -- Chapter 10. A Wireless Sensor Architecture for Efficient Water Quality Measurement and Monitoring Using IO -- Chapter 11. Design of a WSN Platform for Internet of Things Applications -- Chapter 12. Performance Analysis of Modulation Techniques over an Smart City Optical Communication Channel under Weak Atmospheric Turbulence -- Chapter 13. Towards Secure Cyber Infrastructure for SmartCities: Learning based Intelligent Solutions -- Chapter 14. Utilizing ICN caching for IoT big data management in WSN based vehicular networks -- Chapter 15. Integration of WSN and IoT: Its Applications and Technologies? -- Chapter 16. Choice Based Recreation Facility for Smart Cities.

This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning. Explores various applications to show how machine learning is helping to maintain and secure smart cities; Includes developments on how applying machine learning to IoT and WSN can help in monitoring, privacy, and reliability of smart cities; Provides a platform for researchers and professionals to explore applications of IoT for smart cities.