Narayan Vyas, an academician at Vivekananda Global University, specializes in computer science, focusing on IoT and Mobile App Development. He has trained over 1000 students globally and published extensively in Scopus journals. An active IEEE member, his research interests include Remote Sensing, Machine Learning, and Computer Vision.
New Technologies for Geo-Environmental Hazards: Advanced Computing, IoT, and AI for Risk Mitigation
Publisher: Wiley-ISTE
Editors: Neelam Dahiya, Narayan Vyas, Sartajvir Singh, Ankit Tyagi
This book, *New Technologies for Geo-Environmental Hazards: Advanced Computing, IoT, and AI for Risk Mitigation*, delves into the transformative role of hyperautomation and smart technologies in managing environmental risks. The volume covers emerging techniques like IoT, AI, UAVs, and advanced remote sensing for real-time monitoring, prediction, and decision-making in hazard-prone regions. Featuring expert case studies and data-driven insights, the book offers practical frameworks for researchers, disaster management agencies, and policy strategists.
| Important Dates | |
|---|---|
| Abstract Submission Deadline | 15 July 2025 |
| Abstract Acceptance Notification | 31 July 2025 |
| Full Chapter Submission Deadline | 15 September 2025 |
| Chapter Acceptance Notification | 15 November 2025 |
| Projected Book Release Date | November 2026 |
| Important Guidelines | |
|---|---|
| Citation Style | Harvard |
| Formatting | 11 pt Times Roman, 1.5 line spacing |
| Originality | Plagiarism Under 10%, 0% AI Generated Content |
| Headings |
|
Chapter 1: Introduction to Hyperautomation in Hazard Management
Chapter 2: Types and Impacts of Geo-Environmental Hazards
Chapter 3: Risk Assessment Using Advanced Computing Techniques
Chapter 4: Robotics and UAVs in Hazard Mitigation
Chapter 5: Cloud Computing for Geo-Environmental Hazard Analysis
Chapter 6: IoT Applications in Real-Time Hazard Monitoring
Chapter 7: AI-Driven Hazard Prediction and Management
Chapter 8: Advanced Remote Sensing Techniques for Hazard Mapping
Chapter 9: IoT and UAVs in Disaster Preparedness and Response
Chapter 10: Coastal Hazard Mapping Using Machine Learning Algorithms
Chapter 11: AI-Based Risk Assessment in Mountainous Regions (Himalayas)
Chapter 12: Urban Hazard Management with Hyperautomation Tools
Chapter 13: Advancements in Satellite Remote Sensing for Hazard Monitoring
Chapter 14: Drone-Based Remote Sensing for Disaster Risk Reduction
Chapter 15: Integration of IoT with Remote Sensing for Real-Time Monitoring
Chapter 16: AI and Machine Learning in Remote Sensing Applications
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