This book examines the paradigm shift towards a new digital smart city ecosystem brought about by the rapid adoption of deep learning, which has been combined with blockchain technology. Deep learning and blockchain applications cover a wide range of domains, ranging from risk management to social services, which this book explores.
This book examines the paradigm shift towards a new digital smart city ecosystem brought about by the rapid adoption of deep learning, which has been combined with blockchain technology. Deep learning and blockchain applications cover a wide range of domains, ranging from risk management to social services, which this book explores.
Dr. V. Subramaniyaswamy is a professor at the School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India. Dr. G Revathy is an assistant professor, Department of CSE, Srinivasa Ramanujan Centre, SASTRA (Deemed University), Thanjavur, India. Dr. Logesh Ravi is an assistant professor at the Centre for Advanced Data Science (CADS), Vellore Institute of Technology, Chennai, India. Dr. N. Thillaiarasu is an associate professor at the School of Computing and Information Technology, REVA University, Bengaluru, India. Dr. Naresh Kshetri is faculty member, Department of Cybersecurity at the Rochester Institute of Technology, Rochester, New York, USA.
Inhaltsangabe
1. Applications of Smart City 2. Assessing the Efficiency of Integrated RBSA and SBFS Approaches Utilizing Machine Learning Techniques for Email Categorization in Smart City Infrastructure 3. Unleashing the Power of Data and Security by Integrating Deep Learning and Blockchain in Smart City Infrastructure Development - A Future Perspective 4. An Extensive Analysis of Blockchain Technology Addressing Many Facets of IoT, Smart Cities, and Deep Learning 5. Exploring the Potential of Blockchain and Deep Learning in Smart City Applications 6. Enabling Smart Cities: A Comprehensive Study of IoT and IIoT Integration in Diverse Industries 7. Smart City Applications Using Blockchain Technologies 8. Insights into Tomorrow: A Review of Rainfall Intelligence Integration in Smart City Innovations for Future Urban Development 9. IIOT for Smart Cities 10. Enhancing Smart City Sustainability through Multiple Coal Classification Utilizing Deep Learning. 11. Preventive Care: Smart Strategies for Elderly Fall Detection and Prevention 12. smartVAST: Vulnerability, Attacks, Security, and Threats on Smart Cities with Impact and Ability in Blockchain Technology 13. Empowering Urban Planning with Accurate Air Quality Index Prediction: Hybrid Learning Models for Smart Cities 14. Enhancing Healthcare in Smart Cities: The Fusion of MCPS and IoT 15. Efficiency Analysis of LSTM-Based Earthquake Forecasting for Smart City Resilience: A Time Complexity Perspective 16. Smart Farming: Empowering Agriculture in Smart Cities 17. Anomaly Detection of Parkinson Diseases with Voice Analysis Patterns Using ML Algorithms in Smart Cities 18. Location and Weather-Based Prediction of Yields Using Machine Learning Algorithms in Smart Cities 19. Gesture Language Translator in Smart Cities 20. Blockchain-Driven AI Framework for Early Human Monkeypox Detection
1. Applications of Smart City 2. Assessing the Efficiency of Integrated RBSA and SBFS Approaches Utilizing Machine Learning Techniques for Email Categorization in Smart City Infrastructure 3. Unleashing the Power of Data and Security by Integrating Deep Learning and Blockchain in Smart City Infrastructure Development - A Future Perspective 4. An Extensive Analysis of Blockchain Technology Addressing Many Facets of IoT, Smart Cities, and Deep Learning 5. Exploring the Potential of Blockchain and Deep Learning in Smart City Applications 6. Enabling Smart Cities: A Comprehensive Study of IoT and IIoT Integration in Diverse Industries 7. Smart City Applications Using Blockchain Technologies 8. Insights into Tomorrow: A Review of Rainfall Intelligence Integration in Smart City Innovations for Future Urban Development 9. IIOT for Smart Cities 10. Enhancing Smart City Sustainability through Multiple Coal Classification Utilizing Deep Learning. 11. Preventive Care: Smart Strategies for Elderly Fall Detection and Prevention 12. smartVAST: Vulnerability, Attacks, Security, and Threats on Smart Cities with Impact and Ability in Blockchain Technology 13. Empowering Urban Planning with Accurate Air Quality Index Prediction: Hybrid Learning Models for Smart Cities 14. Enhancing Healthcare in Smart Cities: The Fusion of MCPS and IoT 15. Efficiency Analysis of LSTM-Based Earthquake Forecasting for Smart City Resilience: A Time Complexity Perspective 16. Smart Farming: Empowering Agriculture in Smart Cities 17. Anomaly Detection of Parkinson Diseases with Voice Analysis Patterns Using ML Algorithms in Smart Cities 18. Location and Weather-Based Prediction of Yields Using Machine Learning Algorithms in Smart Cities 19. Gesture Language Translator in Smart Cities 20. Blockchain-Driven AI Framework for Early Human Monkeypox Detection
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