Utilizing Ai And Machine Learning For Natural Disaster Management

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Utilizing AI and Machine Learning for Natural Disaster Management

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 374 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Utilizing AI and Machine Learning for Natural Disaster Management by : Satishkumar, D.

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.

AI and Robotics in Disaster Studies

Author : T. V. Vijay Kumar
Publisher : Springer Nature
ISBN 13 : 9811542910
Total Pages : 267 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis AI and Robotics in Disaster Studies by : T. V. Vijay Kumar

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.

Internet of Things and AI for Natural Disaster Management and Prediction

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 378 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Internet of Things and AI for Natural Disaster Management and Prediction by : Satishkumar, D.

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.

Predicting Natural Disasters With AI and Machine Learning

Author : Satishkumar, D.
Publisher : IGI Global
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Predicting Natural Disasters With AI and Machine Learning by : Satishkumar, D.

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.

AI and IoT for Proactive Disaster Management

Author : Ouaissa, Mariyam
Publisher : IGI Global
ISBN 13 :
Total Pages : 317 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AI and IoT for Proactive Disaster Management by : Ouaissa, Mariyam

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.

Future Role of Sustainable Innovative Technologies in Crisis Management

Author : Ali, Mohammed
Publisher : IGI Global
ISBN 13 : 1799898172
Total Pages : 280 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Future Role of Sustainable Innovative Technologies in Crisis Management by : Ali, Mohammed

Download or read book Future Role of Sustainable Innovative Technologies in Crisis Management written by Ali, Mohammed and published by IGI Global. This book was released on 2022-04-18 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing use of innovative technologies by global businesses has sparked debate about their application in crisis resolution. Resolution tools can be used by global businesses to manage various types of crisis situations, such as natural disasters, information security issues, economic downturns, health crisis situations, and sustainability issues in education, among others. Further study and consideration of the uses of technology in the areas of crisis and change management and intra-company communication practice in the context of global business must be done to ensure successful and sustainable businesses. Future Role of Sustainable Innovative Technologies in Crisis Management raises awareness of the multifaceted field of new technology in crisis management that has resulted in a paradigm shift in the way contemporary industries and global businesses communicate and conduct their daily business operations. This book defines the scope of innovative technologies as the application of new technologies to support the resolution of various types of crisis situations to achieve regulatory compliance and improved risk management in an effective and automated manner. Covering topics such as sustainable business and disaster scenarios, this reference work is ideal for managers, entrepreneurs, researchers, academicians, scholars, practitioners, instructors, and students.

Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation

Author : Ravinesh C. Deo
Publisher : Springer Nature
ISBN 13 : 9811557721
Total Pages : 469 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation by : Ravinesh C. Deo

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.

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Author : El Bachir Boukherouaa
Publisher : International Monetary Fund
ISBN 13 : 1589063953
Total Pages : 35 pages
Book Rating : 4.5/5 (89 download)

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Book Synopsis Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by : El Bachir Boukherouaa

Download or read book Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Disasters and Public Health

Author : Bruce W. Clements
Publisher : Butterworth-Heinemann
ISBN 13 : 0128019891
Total Pages : 538 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Disasters and Public Health by : Bruce W. Clements

Download or read book Disasters and Public Health written by Bruce W. Clements and published by Butterworth-Heinemann. This book was released on 2016-02-23 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Disasters and Public Health: Planning and Response, Second Edition, examines the critical intersection between emergency management and public health. It provides a succinct overview of the actions that may be taken before, during, and after a major public health emergency or disaster to reduce morbidity and mortality. Five all-new chapters at the beginning of the book describe how policy and law drive program structures and strategies leading to the establishment and maintenance of preparedness capabilities. New topics covered in this edition include disaster behavioral health, which is often the most expensive and longest-term recovery challenge in a public health emergency, and community resilience, a valuable resource upon which most emergency programs and responses depend. The balance of the book provides an in-depth review of preparedness, response, and recovery challenges for 15 public health threats. These chapters also provide lessons learned from responses to each threat, giving users a well-rounded introduction to public health preparedness and response that is rooted in experience and practice. Contains seven new chapters that cover law, vulnerable populations, behavioral health, community resilience, preparedness capabilities, emerging and re-emerging infectious diseases, and foodborne threats Provides clinical updates by new MD co-author Includes innovative preparedness approaches and lessons learned from current and historic public health and medical responses that enhance clarity and provide valuable examples to readers Presents increased international content and case studies for a global perspective on public health

Disrupting Finance

Author : Theo Lynn
Publisher : Springer
ISBN 13 : 3030023303
Total Pages : 194 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Disrupting Finance by : Theo Lynn

Download or read book Disrupting Finance written by Theo Lynn and published by Springer. This book was released on 2018-12-06 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access Pivot demonstrates how a variety of technologies act as innovation catalysts within the banking and financial services sector. Traditional banks and financial services are under increasing competition from global IT companies such as Google, Apple, Amazon and PayPal whilst facing pressure from investors to reduce costs, increase agility and improve customer retention. Technologies such as blockchain, cloud computing, mobile technologies, big data analytics and social media therefore have perhaps more potential in this industry and area of business than any other. This book defines a fintech ecosystem for the 21st century, providing a state-of-the art review of current literature, suggesting avenues for new research and offering perspectives from business, technology and industry.

Internet of Medical Things for Smart Healthcare

Author : Chinmay Chakraborty
Publisher : Springer Nature
ISBN 13 : 9811580979
Total Pages : 312 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Internet of Medical Things for Smart Healthcare by : Chinmay Chakraborty

Download or read book Internet of Medical Things for Smart Healthcare written by Chinmay Chakraborty and published by Springer Nature. This book was released on 2020-11-09 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers COVID-19 related research works and focuses on recent advances in the Internet of Things (IoT) in smart healthcare technologies. It includes reviews and original works on COVID-19 in terms of e-healthcare, medicine technology, life support systems, fast detection, diagnoses, developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, solutions for monitoring and control of the spread of COVID-19, among other topics. The book covers comprehensive studies from bioelectronics and biomedical engineering, artificial intelligence, and big data with a prime focus on COVID-19 pandemic.

Social Sensing and Big Data Computing for Disaster Management

Author : Zhenlong Li
Publisher : Routledge
ISBN 13 : 1000261530
Total Pages : 233 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Social Sensing and Big Data Computing for Disaster Management by : Zhenlong Li

Download or read book Social Sensing and Big Data Computing for Disaster Management written by Zhenlong Li and published by Routledge. This book was released on 2020-12-17 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social Sensing and Big Data Computing for Disaster Management captures recent advancements in leveraging social sensing and big data computing for supporting disaster management. Specifically, analysed within this book are some of the promises and pitfalls of social sensing data for disaster relevant information extraction, impact area assessment, population mapping, occurrence patterns, geographical disparities in social media use, and inclusion in larger decision support systems. Traditional data collection methods such as remote sensing and field surveying often fail to offer timely information during or immediately following disaster events. Social sensing enables all citizens to become part of a large sensor network which is low cost, more comprehensive, and always broadcasting situational awareness information. However, data collected with social sensing is often massive, heterogeneous, noisy, and unreliable in some aspects. It comes in continuous streams, and often lacks geospatial reference information. Together, these issues represent a grand challenge toward fully leveraging social sensing for emergency management decision making under extreme duress. Meanwhile, big data computing methods and technologies such as high-performance computing, deep learning, and multi-source data fusion become critical components of using social sensing to understand the impact of and response to the disaster events in a timely fashion. This book was originally published as a special issue of the International Journal of Digital Earth.

Sustainable Development and Disaster Risk Reduction

Author : Juha I. Uitto
Publisher : Springer
ISBN 13 : 443155078X
Total Pages : 287 pages
Book Rating : 4.4/5 (315 download)

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Book Synopsis Sustainable Development and Disaster Risk Reduction by : Juha I. Uitto

Download or read book Sustainable Development and Disaster Risk Reduction written by Juha I. Uitto and published by Springer. This book was released on 2015-11-05 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on exploring the linkages between natural disasters and sustainable development at the global, regional, and national levels. Disasters and development are closely related, yet the disciplinary silos prevail and there is little communication and cooperation between the disaster management, environment, and development communities. One catastrophic event, such as an earthquake, tsunami, or cyclone, can destroy infrastructure, people’s lives and livelihoods, and set back development. Similarly, slow onset disasters—often associated with global climate change—pose threats to development, livelihoods, food security, and long-term sustainable development. This book is uniquely aimed at bridging the gaps between the environmental, development, and disaster management communities. It traces the evolution of concepts and practice and highlights the linkages between natural disasters and sustainable development in key sectors, including food security, health, and water. The book includes case studies from the field highlighting the complex issues that challenge sustainable development and disaster risk management in practice. It draws policy conclusions for the global community based on state-of-the art knowledge from research and practice. The primary target groups for the book are researchers, including graduate students, in the fields of environment and sustainable development, geography, disaster risk reduction, and climate change studies. The second target group comprises practitioners and policymakers working in national and international organizations, the private sector, and civil society.

Artificial Intelligence in Asset Management

Author : Söhnke M. Bartram
Publisher : CFA Institute Research Foundation
ISBN 13 : 195292703X
Total Pages : 95 pages
Book Rating : 4.9/5 (529 download)

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Book Synopsis Artificial Intelligence in Asset Management by : Söhnke M. Bartram

Download or read book Artificial Intelligence in Asset Management written by Söhnke M. Bartram and published by CFA Institute Research Foundation. This book was released on 2020-08-28 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.

Machine Learning and Big Data

Author : Uma N. Dulhare
Publisher : John Wiley & Sons
ISBN 13 : 1119654742
Total Pages : 544 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Machine Learning and Big Data by : Uma N. Dulhare

Download or read book Machine Learning and Big Data written by Uma N. Dulhare and published by John Wiley & Sons. This book was released on 2020-09-01 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17 chapters are divided into 5 sections: Theoretical Fundamentals; Big Data and Pattern Recognition; Machine Learning: Algorithms & Applications; Machine Learning's Next Frontier and Hands-On and Case Study. While it dwells on the foundations of machine learning and big data as a part of analytics, it also focuses on contemporary topics for research and development. In this regard, the book covers machine learning algorithms and their modern applications in developing automated systems. Subjects covered in detail include: Mathematical foundations of machine learning with various examples. An empirical study of supervised learning algorithms like Naïve Bayes, KNN and semi-supervised learning algorithms viz. S3VM, Graph-Based, Multiview. Precise study on unsupervised learning algorithms like GMM, K-mean clustering, Dritchlet process mixture model, X-means and Reinforcement learning algorithm with Q learning, R learning, TD learning, SARSA Learning, and so forth. Hands-on machine leaning open source tools viz. Apache Mahout, H2O. Case studies for readers to analyze the prescribed cases and present their solutions or interpretations with intrusion detection in MANETS using machine learning. Showcase on novel user-cases: Implications of Electronic Governance as well as Pragmatic Study of BD/ML technologies for agriculture, healthcare, social media, industry, banking, insurance and so on.

Intelligent Data Analytics for Decision-support Systems in Hazard Mitigation

Author :
Publisher :
ISBN 13 : 9789811557736
Total Pages : 477 pages
Book Rating : 4.5/5 (577 download)

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Book Synopsis Intelligent Data Analytics for Decision-support Systems in Hazard Mitigation by :

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.