Deep Learning and Blockchain Technology for Smart and Sustainable Cities

1. Applications of Smart City

SUBHASHINI ASOKAN

2. Assessing the Efficiency of Integrated RBSA and SBFS Approaches Utilizing Machine Learning Techniques for Email Categorization in Smart City Infrastructure

S. ABIRAMASUNDARI AND V. RAMASWAMY

3. Unleashing the Power of Data and Security by Integrating Deep Learning and Blockchain in Smart City Infrastructure Development – A Future Perspective

S. S. ARAVINTH

4. An Extensive Analysis of Blockchain Technology Addressing Many Facets of IOT, Smart Cities, and Deep Learning

M. MARTINAA, R. BHAVANI, AND V. PRAKASH

5. Exploring the Potential of Blockchain and Deep Learning in Smart City Applications

G REVATHY, R. INDHUMATHI, A. NISHA JEBASEELI, A. FAIROSEBANU, P. AURCHANA, AND B. SREEDEVI

6. Enabling Smart Cities: A Comprehensive Study of IoT and IIoT Integration in Diverse Industries

D. M. DHUSNIC INFANT AND E. B. PRIYANKA

7. Smart City Applications Using Blockchain Technologies

BALA KRISHNAN RAGHUPATHY, V. SUBRAMANIYASWAMY, RAJESH KUMAR NAMACHIVAYAM, AND MANIKANDAN GANESAN

8. Insights into Tomorrow: A Review of Rainfall Intelligence Integration in Smart City Innovations for Future Urban Development

P. UMAMAHESWARI AND V. RAMASWAMY

9. IIoT for Smart Cities

BALA KRISHNAN RAGHUPATHY, V. SUBRAMANIYASWAMY, MANIKANDAN GANESAN, AND RAJESH KUMAR NAMACHIVAYAM

10. Enhancing Smart City Sustainability through Multiple Coal Classification Utilizing Deep Learning

S. ABIRAMASUNDARI AND P. UMAMAHESWARI

11. Preventive Care: Smart Strategies for Elderly Fall Detection and Prevention

A. SUMATHI, S. SAI SUDARSHAN, AND SOMISETTY SAI RITHIN

12. smartVAST: Vulnerability, Attacks, Security, and Threats on Smart Cities with Impact and Ability in Blockchain Technology

BISHWO PRAKASH POKHAREL AND NARESH KSHETRI

13. Empowering Urban Planning with Accurate Air Quality Index Prediction: Hybrid Learning Models for Smart Cities

M. VANITHA AND D. NARASIMHAN

14. Enhancing Healthcare in Smart Cities: The Fusion of MCPS and IoT

P. VIMALA DEVI AND V. KALAICHELVI

15. Efficiency Analysis of LSTM‑Based Earthquake Forecasting for Smart City Resilience: A Time Complexity Perspective

RUBIDHA DEVI DURAISAMY, VENKATANATHAN NATARAJAN, AVULA VENKATA SIVA KOTIREDDY, KATAKAM PAVAN KALYAN, AND NANNURI CHARAN SAI

16. Smart Farming: Empowering Agriculture in Smart Cities

A. SUMATHI, S. SANTHOSHKUMAR, S. MEGANATHAN, R. SUJARANI, AND R. MATHI

17. Anomaly Detection of Parkinson’s Disease with Voice Analysis Patterns Using ML Algorithms in Smart Cities

T. MANOJPRAPHAKAR, D. S. DHENU, D. GAVASH, M. MEGA SHREE, S. DIVESH, AND N. KIRUSHNAKAND

18. Location and Weather‑Based Prediction of Yields Using Machine Learning Algorithms in Smart Cities

M. AMUTHASURABI, C. T. MAARAN, HARSHAVARDHAN VYAS, R. KAVI PRAKASH, S. P. ARVINDHAN, AND B. ASHWIN

19. Gesture Language Translator in Smart Cities

R. KAVI PRAKASH, AND B. ASHWIN

20. Blockchain‑Driven AI Framework for Early Human Monkeypox Detection

M. MARTINAA, R. BHAVANI, V. PRAKASH, M. VASUDEVAN, B. KISHORE, AND SRINIVAS KUMAR

Biography

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.