Deep Learning and Blockchain Technology for Smart and Sustainable Cities (eBook, ePUB)

Redaktion: V, Subramaniyaswamy; Kshetri, Naresh; Thillaiarasu, N.; Ravi, Logesh; Revathy, G.

• Format: ePub

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 22. Mai 2025
• Englisch
• ISBN-13: 9781040346266
• Artikelnr.: 73853275

Autorenporträt

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