Big Data Analytics and Intelligent Techniques for Smart Cities /
by Kolla Bhanu Prakash [et.al.] (editor)
- New York: CRC Press Taylor and Francis Group, 2023
- 272p. ; 23cm.
Content Chapter 1 Big Data for Smart Education Chapter 2 Big Data Analytics Using R for Offline Voltage Prediction in an Electric Power System Chapter 3 Intelligent Face Recognition Based on Regularized Robust Coding with Deep Learning Process Chapter 4 Big Data Analysis, Interpretation, and Management for Secured Smart Health Care Chapter 5 Big Data Handling for Smart Healthcare System: A Brief Review and Future Directions Chapter 6 Big Data Analysis for Smart Energy System: An Overview and Future Directions Chapter 7 Optimum Placement of Multiple Distributed Generators in Distribution Systems for Loss Mitigation Considering Load Growth Chapter 8 Big Data for Smart Energy Chapter 9 An Intelligent Security Framework for Cyber-Physical Systems in Smart City Chapter 10 Big Data and Its Application in Smart Education during the COVID-19 Pandemic Situation Chapter 11 Role of IoT, Machine Learning, and Big Data in Smart Building Chapter 12 Design of Futuristic Trolley System with Comparative Analysis of Previous Models Chapter 13 Big Data for Smart Health
Big Data Analytics and Intelligent Techniques for Smart Cities covers fundamentals, advanced concepts, and applications of big data analytics for smart cities in a single volume. This comprehensive reference text discusses big data theory modeling and simulation for smart cities and examines case studies in a single volume. The text discusses how to develop a smart city and state-of-the-art system design, system verification, real-time control and adaptation, Internet of Things, and testbeds. It covers applications of smart cities as they relate to smart transportation/connected vehicle (CV) and intelligent transportation systems (ITS) for improved mobility, safety, and environmental protection. It will be useful as a reference text for graduate students in different areas including electrical engineering, computer science engineering, civil engineering, and electronics and communications engineering. Features: Technologies and algorithms associated with the application of big data for smart cities Discussions on big data theory modeling and simulation for smart cities Applications of smart cities as they relate to smart transportation and intelligent transportation systems (ITS) Discussions on concepts including smart education, smart culture, and smart transformation management for social and societal changes