Big Data Analytics and Intelligent Techniques for Smart Cities

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

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

Dr. Kolla Bhanu Prakash is working as Professor and Research Group Head in CSE DEPARTMENT, K L University, VIJAYAWADA, Andhra Pradesh, India. He received his M.Sc and M.Phil in Physics from Acharya Nagarjuna University, Guntur, India, M.E and Ph.D in Computer Science Engineering from Sathyabama University,Chennai, India. Dr. Kolla Bhanu Prakash has 15+ years of experience working in the academia, research, teaching, academic administration. His current research interests include A.I, Deep Learning, Data Science, Smart Grids, Cyber-physical systems, Cryptocurrency, Block-chain technology and Image Processing. Dr.K.Bhanu Prakash is IEEE Senior Member. He is Fellow-ISRD, Treasurer - ACM Amaravathi Chapter, India, LMISTE, MIAENG, SMIRED. He has reviewed more than 130 peer reviewed journals and are indexed in publons. He is editor for 6 books in Elsevier, CRC Press, Springer, Wiley, Degryuter publishers. He published 75 research papers, 6 patents, 7books + 4 accepted. His scopus H-index is 14. He is a frequent editorial board member and TPC member in flagship conferences and refereed journals. He is reviewer for IEEE Access journal, Springer Nature, Inderscience publisher, Applied Soft Computing Journal – Elsevier, Wireless Networks Journal, IET journals, KSII journal, IEEE Computer Society journals. He is Series Editor – "Next Generation Computing & Communication Engineering" – Wiley publishers; under this series at present 5 books agreement signed. He is series editor - "Industry 5.0: Artificial Intelligence, Cyber-Physical Systems, Mechatronics and Smart Grids" – CRC publishers.

Dr. Sanjeevikumar Padmanaban (Member’12–Senior Member'15, IEEE) received the bachelor's degree in electrical engineering from the University of Madras, Chennai, India, in 2002, the master's degree (Hons.) in electrical engineering from Pondicherry University, Puducherry, India, in 2006, and the PhD degree in electrical engineering from the University of Bo