Deep Learning and Blockchain Technology for Smart and Sustainable Cities
Herausgeber: Revathy, G.; V, Subramaniyaswamy; Kshetri, Naresh; Thillaiarasu, N.; Ravi, Logesh
Deep Learning and Blockchain Technology for Smart and Sustainable Cities
Herausgeber: Revathy, G.; V, Subramaniyaswamy; Kshetri, Naresh; Thillaiarasu, N.; Ravi, Logesh
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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.
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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.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 392
- Erscheinungstermin: 22. Mai 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032748573
- ISBN-10: 1032748575
- Artikelnr.: 72211455
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 392
- Erscheinungstermin: 22. Mai 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032748573
- ISBN-10: 1032748575
- Artikelnr.: 72211455
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
Dr. Subramaniyaswamy V is a professor at the School of Computing, SASTRA Deemed University, Thanjavur, India. Dr. G Revathy is an assistant professor at the School of Computing, 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. Thillaiarasu N is an associate professor at the School of Computing and Information Technology, REVA University, Bengaluru, India. Dr. Naresh Kshetri is an assistant professor of cybersecurity at the College of Science, Technology, and Health, Lindenwood University, St. Charles, MO, USA.
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
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
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
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