Overview

Acute events of natural origin, spanning atmospheric, biological, geophysical, hydrologic, and oceanographic realms, persistently menace societies globally. Approximately 160 million people annually bear the brunt of these disasters, with certain regions facing disproportionate impacts. The lack of predictability intensifies the challenge, creating intercommunal capacity gaps and amplifying the dire consequences. In an era where natural disasters pose a persistent threat to human societies and the environment, the integration of artificial intelligence (AI) and machine learning (ML) emerges as a tool of hope. Utilizing AI and Machine Learning for Natural Disaster Management delves into the transformative potential of ML in predicting and mitigating the impact of natural calamities. The book begins by demystifying the essence of machine learning, portraying it as an application of artificial intelligence designed to enable systems to learn and improve autonomously. With a focus on real-world applications, the narrative unfolds the profound impact of ML on diverse sectors such as customer service, healthcare, trading, and natural disaster management. Utilizing AI and Machine Learning for Natural Disaster Management provides instances of ML in predicting earthquakes. By leveraging seismic data, AI systems can analyze magnitude and patterns, providing invaluable insights to forecast earthquake occurrences and aftershocks. Similarly, the book unveils the potential of ML in simulating floods by recording and analyzing rainfall patterns from previous years. The predictive power extends to hurricanes, where data on wind speed, rainfall, temperature, and moisture converge to anticipate future occurrences, potentially saving millions in property damage. Topics range from disaster and pandemic management using ML to applying image-based deep learning for natural disaster prediction. Each topic improves the prediction and response mechanisms for natural disasters, exploring the symbiotic relationship between AI, ML, and disaster management. This book is ideal for academics, public and private organizations, managers, and the wider public.

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D. Satishkumar is an Associate Professor in the Department of Computer Science and Engineering at Nehru Institute of 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 , a goal driven professional born in 1974 emerged as Gold medalist in his PG, Ph.D at Anna University and PD at SUNY Buffalo, USA under BOYSCAST Fellowship. His dedicated and committed personality established him as the Founder Principal of N.S.N.CET, Karur during 2011 at the age of 37. His Credit includes 35 Journal publications, 95 conference papers and 24 invited talks, conducted 16 seminars and conferences, completed 11 research funded projects and honoured with many Awards.

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