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Big Data Analytics and Intelligent Techniques for Smart Cities / by Kolla Bhanu Prakash [et.al.] (editor)

Material type: TextTextPublication details: CRC Press Taylor and Francis Group, 2023 New York:Description: 272p. ; 23cmISBN:
  • 9781032600161
Subject(s): DDC classification:
  • 307.116028557 BIG
Contents:
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
Summary: 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
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Books Books Central Library 307.116028557 BIG (Browse shelf(Opens below)) Available 000789

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

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