Deep Learning and Blockchain Technology for Smart and Sustainable Cities
portes grátis
Deep Learning and Blockchain Technology for Smart and Sustainable Cities
V, Subramaniyaswamy; Ravi, Logesh; Thillaiarasu, N.; Kshetri, Naresh; Revathy, G
Taylor & Francis Ltd
05/2025
392
Dura
9781032748573
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1. Applications of Smart City in India 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 nn Smart City Applications 6. Enabling Smart Cities: A Comprehensive Study of IoT and IIoT Integration in Diverse Industries 7. Applications of Smart City 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 Deep 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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sustainability;IIoT;IoT;urban planning
1. Applications of Smart City in India 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 nn Smart City Applications 6. Enabling Smart Cities: A Comprehensive Study of IoT and IIoT Integration in Diverse Industries 7. Applications of Smart City 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 Deep 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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
