Predicting Natural Disasters With AI and Machine Learning

Author:   D. Satishkumar ,  M. Sivaraja
Publisher:   IGI Global
ISBN:  

9798369322802


Pages:   340
Publication Date:   28 February 2024
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Predicting Natural Disasters With AI and Machine Learning


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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.

Full Product Details

Author:   D. Satishkumar ,  M. Sivaraja
Publisher:   IGI Global
Imprint:   IGI Global
ISBN:  

9798369322802


Pages:   340
Publication Date:   28 February 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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D. Satish Kumar is an Associate Professor in the Department of Computer Science and Engineering at Nehru Institute of Engineering and Technology, Coimbatore, Tamilnadu, India-641105, where he has been since 2019. From 2019 to 2021 he served as Department Research Coordinator. From 2012 to 2016 he served as Assistant Professor of Department of Computer Science and Engineering in Nehru institute of Technology, Inc. During 2003-2007 he was a Lecturer at the KCG College of technology, Chennai, Tamilnadu, India, and in 2007-2010 he was faculty at Coimbatore Institute of Engineering and Technology, Coimbatore, Tamilnadu, India, in 2010-2012 he was faculty at Kalaignar karunanidhi Institute of Technology, Coimbatore, Tamilnadu, India. He received a B.E. from Bharathiar University in 2002, and an M.E. from the Manonmaniam sundharnar University, Tamilnadu, India. He received his Ph.D. in Computer Science and Engineering from the Anna University in 2015. M. Sivaraja is a Professor at Nehru Institute of Technology, India.

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