Predicting Natural Disasters With Ai And Machine Learning

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.19/5 ( download)

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Download or read book Predicting Natural Disasters With AI and Machine Learning written by Satishkumar, D. and published by IGI Global. This book was released on 2024-02-16 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 374 pages
Book Rating : 4.31/5 ( download)

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Download or read book Utilizing AI and Machine Learning for Natural Disaster Management written by Satishkumar, D. and published by IGI Global. This book was released on 2024-04-29 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. 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.

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 378 pages
Book Rating : 4.55/5 ( download)

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Download or read book Internet of Things and AI for Natural Disaster Management and Prediction written by Satishkumar, D. and published by IGI Global. This book was released on 2024-03-07 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where natural disasters wreak havoc with increasing frequency and severity, the need for accurate prediction and effective management has never been more critical. From earthquakes shattering communities to floods submerging vast regions, these events endanger lives and strain resources and infrastructure to their limits. Yet, amidst this turmoil, traditional forecasting methods often need to catch up, leaving us vulnerable and reactive rather than proactive. This comprehensive academic collection provides a beacon of hope in uncertain circumstances: Internet of Things and AI for Natural Disaster Management and Prediction. By bridging the gap between theory and practice, this book empowers academics, policymakers, and practitioners alike to harness the full potential of machine learning in safeguarding lives and livelihoods.

Author : T. V. Vijay Kumar
Publisher : Springer Nature
ISBN 13 : 9811542910
Total Pages : 267 pages
Book Rating : 4.16/5 ( download)

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Download or read book AI and Robotics in Disaster Studies written by T. V. Vijay Kumar and published by Springer Nature. This book was released on 2020-10-12 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book promotes a meaningful and appropriate dialogue and cross-disciplinary partnerships on Artificial Intelligence (AI) in governance and disaster management. The frequency and the cost of losses and damages due to disasters are rising every year. From wildfires to tsunamis, drought to hurricanes, floods to landslides combined with chemical, nuclear and biological disasters of epidemic proportions has increased human vulnerability and ecosystem sustainability. Life is not as it used to be and governance to manage disasters cannot be a business as usual. The quantum and proportion of responsibilities with the emergency services has increased many times to strain them beyond their human capacities. Its time that the struggling disaster management services get supported and facilitated by new technology of combining Artificial Intelligence (AI) and Machine Learning (ML) with Data Analytics Technologies (DAT)to serve people and government in disaster management. AI and ML have advanced to a state where they could be utilized for many operations in disaster risk reduction. Even though many disasters cannot be prevented and a number of them are blind natural disasters yet through an appropriate application of AI and ML quick predictions, vulnerability identification and classification of relief and rescue operations could be achieved.

Author : Ouaissa, Mariyam
Publisher : IGI Global
ISBN 13 :
Total Pages : 317 pages
Book Rating : 4.71/5 ( download)

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Download or read book AI and IoT for Proactive Disaster Management written by Ouaissa, Mariyam and published by IGI Global. This book was released on 2024-05-06 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: In our rapidly evolving digital landscape, the threat of natural disasters looms large, necessitating innovative solutions for effective disaster management. Integrating Artificial Intelligence (AI) and the Internet of Things (IoT) presents a transformative approach to addressing these challenges. However, despite the potential benefits, the field needs more comprehensive resources that explore the full extent of AI and IoT applications in disaster management. AI and IoT for Proactive Disaster Management fills that gap by examining how AI and IoT can revolutionize disaster preparedness, response, and recovery. It offers a deep dive into AI frameworks, IoT infrastructures, and the synergy of these technologies in predicting and managing natural disasters. Ideal for undergraduate and postgraduate students, academicians, research scholars, industry professionals, and technology enthusiasts, this book serves as a comprehensive guide to understanding the intersection of AI, IoT, and disaster management. By showcasing cutting-edge research and practical applications, this book equips readers with the knowledge and tools to harness AI and IoT for more efficient and effective disaster management strategies.

Author : IEEE Staff
Publisher :
ISBN 13 : 9781728151199
Total Pages : pages
Book Rating : 4.98/5 ( download)

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Download or read book 2019 4th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE) written by IEEE Staff and published by . This book was released on 2019-11-20 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal processing and Analysis, Computing and Processing, Communication, Networking, Security and Broadcasting, Power, Energy, and Industry Application, Information System and Multimedia, Robotics and Control

Author : Joy Iong-Zong Chen
Publisher : Springer Nature
ISBN 13 : 3030847608
Total Pages : 840 pages
Book Rating : 4.09/5 ( download)

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Download or read book Second International Conference on Image Processing and Capsule Networks written by Joy Iong-Zong Chen and published by Springer Nature. This book was released on 2021-09-09 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the papers presented in 2nd International Conference on Image Processing and Capsule Networks [ICIPCN 2021]. In this digital era, image processing plays a significant role in wide range of real-time applications like sensing, automation, health care, industries etc. Today, with many technological advances, many state-of-the-art techniques are integrated with image processing domain to enhance its adaptiveness, reliability, accuracy and efficiency. With the advent of intelligent technologies like machine learning especially deep learning, the imaging system can make decisions more and more accurately. Moreover, the application of deep learning will also help to identify the hidden information in volumetric images. Nevertheless, capsule network, a type of deep neural network, is revolutionizing the image processing domain; it is still in a research and development phase. In this perspective, this book includes the state-of-the-art research works that integrate intelligent techniques with image processing models, and also, it reports the recent advancements in image processing techniques. Also, this book includes the novel tools and techniques for deploying real-time image processing applications. The chapters will briefly discuss about the intelligent image processing technologies, which leverage an authoritative and detailed representation by delivering an enhanced image and video recognition and adaptive processing mechanisms, which may clearly define the image and the family of image processing techniques and applications that are closely related to the humanistic way of thinking.

Author : Ravinesh C. Deo
Publisher : Springer Nature
ISBN 13 : 9811557721
Total Pages : 469 pages
Book Rating : 4.29/5 ( download)

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Download or read book Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation written by Ravinesh C. Deo and published by Springer Nature. This book was released on 2020-07-29 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables. Predictive modelling is a consolidated discipline used to forewarn the possibility of natural hazards. In this book, experts from numerical weather forecast, meteorology, hydrology, engineering, agriculture, economics, and disaster policy-making contribute towards an interdisciplinary framework to construct potent models for hazard risk mitigation. The book will help advance the state of knowledge of artificial intelligence in decision systems to aid disaster management and policy-making. This book can be a useful reference for graduate student, academics, practicing scientists and professionals of disaster management, artificial intelligence, and environmental sciences.

Author : Behera, Santosh Kumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 329 pages
Book Rating : 4.79/5 ( download)

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Download or read book Inclusive Educational Practices and Technologies for Promoting Sustainability written by Behera, Santosh Kumar and published by IGI Global. This book was released on 2024-06-17 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's rapidly evolving world, the digital learning gap presents a significant challenge, impacting the effectiveness of education and the development of essential skills for future generations. Traditional teaching methods often fail to meet students' diverse needs, leading to a skills gap between current and future workers. Additionally, the ambiguity in defining concepts such as the "heap paradox" and the inadequacies of traditional economic measures like GDP highlights the need for more nuanced and comprehensive approaches to education, environmental psychology, and sustainable development. Inclusive Educational Practices and Technologies for Promoting Sustainability offers a multifaceted solution to these pressing issues by exploring the transformative potential of Educational Technology (EdTech), the insights of environmental psychology, and the importance of holistic measures of human welfare. By showcasing how EdTech can bridge the digital learning gap, enabling teachers to employ diverse strategies and better meet students' needs, we demonstrate its potential to revolutionize education and support the growth of the next generation. The book also delves into the paradox of the heap, where logic, vagueness, and philosophy complicate our methods of thinking. It illustrates the complexities of everyday concepts and their relevance to environmental psychology while advocating for a deeper understanding of the human-nature relationship.

Author :
Publisher :
ISBN 13 : 9789811557736
Total Pages : 477 pages
Book Rating : 4.3X/5 ( download)

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Download or read book Intelligent Data Analytics for Decision-support Systems in Hazard Mitigation written by and published by . This book was released on 2021 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables. Predictive modelling is a consolidated discipline used to forewarn the possibility of natural hazards. In this book, experts from numerical weather forecast, meteorology, hydrology, engineering, agriculture, economics, and disaster policy-making contribute towards an interdisciplinary framework to construct potent models for hazard risk mitigation. The book will help advance the state of knowledge of artificial intelligence in decision systems to aid disaster management and policy-making. This book can be a useful reference for graduate student, academics, practicing scientists and professionals of disaster management, artificial intelligence, and environmental sciences.