• 0 5391 6310 , 0 5391 6320
  • acquisition_library@mfu.ac.th
  • BOOK
  • E-BOOK
        
  • Log in
  • HOME
  • CATEGORY
    • Agro-Industry
    • Anti Aging and Regenerative Medicine
    • Applied Digital Technology
    • Cosmetic Science
    • Dentistry
    • General Books
    • Health Science
    • Integrative Medicine
    • Law
    • Liberal Arts
    • Management
    • Medicine
    • Nursing
    • Science
    • Sinology
    • Social Innovations
  • BOOKFAIR WEBSITE
  • MANUAL
  • FEEDBACK

Category

Agro-Industry

Anti Aging and Regenerative Medicine

Applied Digital Technology

Cosmetic Science

Dentistry

Health Science

Integrative Medicine

Law

Liberal Arts

Management

Medicine

Nursing

Science

Sinology

Social Innovations

General Books

E-Book

Predicting Natural Disasters With AI and Machine Learning

ISBN : 9798369322819

Author : D. Satishkumar

Publisher : Engineering Science Reference

Year : 2025

Language : English

Type : E-book

Description : In a world where the relentless force of natural and man-made disasters threatens societies, the need for effective disaster management has never been more critical. Predicting Natural Disasters With AI and Machine Learning addresses the challenges of disasters and charts a path toward proactive solutions by applying artificial intelligence (AI) and machine learning (ML).This book begins by interpreting the nature of disasters, clearly distinguishing between natural and man-made hazards. It delves into the intricacies of disaster risk reduction (DRR), emphasizing the human contribution to most disasters. Recognizing the necessity for a multifaceted approach, the book advocates the four ‘R’s - Risk Mitigation, Response Readiness, Response Execution, and Recovery - as integral components of comprehensive disaster management.This book explores various AI and ML applications designed to predict, manage, and mitigate the impact of natural disasters, focusing on natural language processing, and early warning systems. The contrast between weak AI, simulating human intelligence for specific tasks, and strong AI, capable of autonomous problem-solving, is thoroughly examined in the context of disaster management. Its chapters systematically address critical issues, including real-world data handling, challenges related to data accessibility, completeness, security, privacy, and ethical considerations.Ideal for academics, public and private organizations, managers, and the wider public, the book speaks to the urgency of adopting AI and ML in disaster management. Providing a comprehensive overview of research in the field serves as a catalyst for further studies, especially among postgraduate students interested in the convergence of AI and ML in predicting and managing natural disasters.

Please register to recommend this book to the library.

RECOMMENDED BOOKS

Pandemic Motherhood : Exploring the Covid-19 Pandemic through Engaged and Applied Arts

Ali Duffy

  • Detail

Managing the Aerospace System with Lean Six SigmaA Roadmap to Success

John Longshore

  • Detail

Snakes

 unknown author

  • Detail

Handbook of Pharmaceutical Manufacturing Formulations

Sarfaraz K. Niazi

  • Detail

Health Benefits of Fermented Foods and Beverages

Jyoti Prakash Tamang

  • Detail

Deep Learning in Biometrics

Mayank Vatsa

  • Detail

Foundations of Artificial Intelligence and Robotics,Vol.2

Wendell H. Chun

  • Detail

Contemporary Issues in Health and Social Care Policy and Practice : A Comparative Introduction

Julia Morgan

  • Detail

Learning Reources and Education Media Centre - Mae Fah Luang University