Ai And Iot For Proactive Disaster Management

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AI and IoT for Proactive Disaster Management

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

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.

Internet of Things and AI for Natural Disaster Management and Prediction

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

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

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

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 Robotics in Disaster Studies

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

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.

Utilizing AI and Machine Learning for Natural Disaster Management

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

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.

Bio-Inspired Intelligence for Smart Decision-Making

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Author : Jaganathan, Ramkumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 355 pages
Book Rating : 4.3/5 (693 download)

Book Synopsis Bio-Inspired Intelligence for Smart Decision-Making by : Jaganathan, Ramkumar

Download or read book Bio-Inspired Intelligence for Smart Decision-Making written by Jaganathan, Ramkumar and published by IGI Global. This book was released on 2024-05-14 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's complex and fast-paced world, decision-making is critical to problem-solving across industries and academia. However, traditional optimization techniques often need help to cope with the challenges posed by dynamic and intricate environments. This limitation hampers decision-makers' ability to tackle complex problems and seize opportunities effectively. As such, there is a pressing need for innovative approaches that can enhance decision-making processes, enabling individuals and organizations to navigate uncertainty and achieve optimal outcomes. Bio-Inspired Intelligence for Smart Decision-Making offers a compelling solution to this challenge. By exploring the intersection of bio-inspired optimization techniques and decision-making, this book presents a fresh perspective that can revolutionize decisions. The book introduces readers to powerful bio-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies through a multidisciplinary lens that encompasses computer science, artificial intelligence, optimization, and decision science. These algorithms mimic natural systems' efficiency and adaptability, offering a robust framework for researchers, graduate students, and professionals who are addressing complex decision-making problems in diverse fields.

AI-Driven Innovations

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Author : Rohan Singh Rajput
Publisher : Cari Journals USA LLC
ISBN 13 : 9914746152
Total Pages : 86 pages
Book Rating : 4.9/5 (147 download)

Book Synopsis AI-Driven Innovations by : Rohan Singh Rajput

Download or read book AI-Driven Innovations written by Rohan Singh Rajput and published by Cari Journals USA LLC. This book was released on 2024-03-06 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: TOPICS IN THE BOOK Proactive Edge Computing for Smart City: A Novel Case for ML-Powered IoT From Data to Decisions: Enhancing Retail with AI and Machine Learning Commercial Mobile Alert System LTE & 5G Network Optimization Harnessing the Power of AI for Enhanced Regulatory Compliance and Risk Management in Fintech

Fundamentals of Disaster Management

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Author : PRAVIN KHANDVE
Publisher : Notion Press
ISBN 13 :
Total Pages : 674 pages
Book Rating : 4.8/5 (918 download)

Book Synopsis Fundamentals of Disaster Management by : PRAVIN KHANDVE

Download or read book Fundamentals of Disaster Management written by PRAVIN KHANDVE and published by Notion Press. This book was released on 2024-01-17 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive guide comprises twelve illuminating chapters that explore every facet of disaster management, offering a holistic view of the field and its profound importance. This chapter unpacks the essence of disasters, introduces the disaster management framework and cycle, and underscores the paramount importance of disaster management in the unique context of India. Next chapter elucidates their causes, impacts, and the comprehensive measures in place to mitigate their cataclysmic consequences. Industrial pollution, urban flooding, nuclear radiation, chemical spills, transportation accidents, and the looming specter of terrorist strikes are unveiled. It delves into vulnerability assessment techniques, all while considering the pervasive influence of climate change and ecological fragility on disaster risk. The multifaceted impacts of disasters are dissected in this chapter, spanning environmental, physical, social, ecological, economic, and political dimensions. The profound impact of disasters on public health and mental well-being takes centre stage. Readers gain insight into the vexing public health challenges during disasters and the pivotal role of mental health and psychosocial support in disaster recovery. The significant impact of climate change on urban areas is unveiled, highlighting the dire need for resilient urban planning. Readers are ushered into the world of disaster risk reduction, encompassing prevention and mitigation measures, preparedness planning, early warning systems, relief and response strategies, and recovery and reconstruction approaches.

TinyML for Edge Intelligence in IoT and LPWAN Networks

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Author : Bharat S Chaudhari
Publisher : Elsevier
ISBN 13 : 0443222037
Total Pages : 520 pages
Book Rating : 4.4/5 (432 download)

Book Synopsis TinyML for Edge Intelligence in IoT and LPWAN Networks by : Bharat S Chaudhari

Download or read book TinyML for Edge Intelligence in IoT and LPWAN Networks written by Bharat S Chaudhari and published by Elsevier. This book was released on 2024-06-17 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, Tiny Machine Learning (TinyML) has gained incredible importance due to its capabilities of creating lightweight machine learning (ML) frameworks aiming at low latency, lower energy consumption, lower bandwidth requirement, improved data security and privacy, and other performance necessities. As billions of battery-operated embedded IoT and low power wide area networks (LPWAN) nodes with very low on-board memory and computational capabilities are getting connected to the Internet each year, there is a critical need to have a special computational framework like TinyML. TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to IoT and LPWANs. It starts by providing the foundations of IoT/LPWANs, low power embedded systems and hardware, the role of artificial intelligence and machine learning in communication networks in general and cloud/edge intelligence. It then presents the concepts, methods, algorithms and tools of TinyML. Practical applications of the use of TinyML are given from health and industrial fields which provide practical guidance on the design of applications and the selection of appropriate technologies. TinyML for Edge Intelligence in IoT and LPWAN Networks is highly suitable for academic researchers and professional system engineers, architects, designers, testers, deployment engineers seeking to design ultra-lower power and time-critical applications. It would also help in designing the networks for emerging and future applications for resource-constrained nodes. This book provides one-stop solutions for emerging TinyML for IoT and LPWAN applications. The principles and methods of TinyML are explained, with a focus on how it can be used for IoT, LPWANs, and 5G applications. Applications from the healthcare and industrial sectors are presented. Guidance on the design of applications and the selection of appropriate technologies is provided.

Future of AI in Medical Imaging

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Author : Sharma, Avinash Kumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 327 pages
Book Rating : 4.3/5 (693 download)

Book Synopsis Future of AI in Medical Imaging by : Sharma, Avinash Kumar

Download or read book Future of AI in Medical Imaging written by Sharma, Avinash Kumar and published by IGI Global. This book was released on 2024-03-11 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes. Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes.

2020 LOCAL INFORMATIZATION WHITE PAPER 지역정보화백서 영문요약본

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Author : Korea Local Information Research & Development Institute
Publisher : Korea Local Information Research & Development Institute
ISBN 13 :
Total Pages : 102 pages
Book Rating : 4.1/5 (62 download)

Book Synopsis 2020 LOCAL INFORMATIZATION WHITE PAPER 지역정보화백서 영문요약본 by : Korea Local Information Research & Development Institute

Download or read book 2020 LOCAL INFORMATIZATION WHITE PAPER 지역정보화백서 영문요약본 written by Korea Local Information Research & Development Institute and published by Korea Local Information Research & Development Institute. This book was released on 2021-12-01 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: 지역정보화백서는 국내외 정보화 추진사례와 신기술 활용 사례를 담아 지방자치단체 및 다양한 공공기관에서 정책 수립 시 참고자료로 활용할 수 있도록 만든 매체입니다. 각 지방자치단체의 지역정보화 우수사례 소개뿐만 아니라 해외 지역정보화 우수사례까지 다루어 매년 1회 발간하고 있습니다.

IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges

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Author : Pradeep Kumar Singh
Publisher : Springer Nature
ISBN 13 : 3031357833
Total Pages : 386 pages
Book Rating : 4.0/5 (313 download)

Book Synopsis IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges by : Pradeep Kumar Singh

Download or read book IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges written by Pradeep Kumar Singh and published by Springer Nature. This book was released on 2023-08-23 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses mainly on the usages of three key technologies: IoT, big data, and AI for various day to day applications. Further, it explores the possibilities of future research based on the usages of latest information systems. This book explores the current research and challenges to be faced by different researchers for building intelligent information solutions using key technologies; IoT, big data, and AI in improving quality of lives in smart cities and explores the limitations and capabilities of these three key computing technologies. The book is organized into three major parts; each part includes chapters exploring a specific topic, and there are: PART-1: IoT for Real World Solutions , (ii) Part-2: Big Data And Cloud Computing for Innovative Solutions For Day to Day Lives, and (iii) Part-3 Artificial Intelligence for Everyday Lives. This book may be useful to the scientists, scholars, and researchers who are working in the field of computer science and engineering, and communication engineering, along with the students in these subjects who are working or willing to work on IoT, big data, and AI technologies for improving quality of everyday life. Specialists as well as student readers find the book chapters encouraging and helpful. IoT, data science & cloud, and AI all are the undergraduate (UG/ bachelor) subjects. Use of these three key technologies for building new applications for better world is helpful for UG and postgraduate (PG/ MS) Programmes students (as an elective and core course). This book may also be very useful for the Ph.D. (research scholars) during their course work and may be used as an instrument to identify the different challenges associated with information systems.

The Role of AI, IoT and Blockchain in Mitigating the Impact of COVID-19

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Author : S. Vijayalakshmi
Publisher : Bentham Science Publishers
ISBN 13 : 9815080660
Total Pages : 217 pages
Book Rating : 4.8/5 (15 download)

Book Synopsis The Role of AI, IoT and Blockchain in Mitigating the Impact of COVID-19 by : S. Vijayalakshmi

Download or read book The Role of AI, IoT and Blockchain in Mitigating the Impact of COVID-19 written by S. Vijayalakshmi and published by Bentham Science Publishers. This book was released on 2023-11-07 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the wake of the global COVID-19 pandemic, humanity faced unprecedented challenges that necessitated innovative technological solutions. The Role of AI, IoT, and Blockchain in Mitigating the Impact of COVID-19 explores the transformative influence of Artificial Intelligence (AI), Internet of Things (IoT), and Blockchain technologies in combating the pandemic's effects. Key themes: Technological Pandemic Response: This book delves into how technology played a pivotal role in enabling social distancing, remote monitoring, contact minimization, telecommuting, online education, virus analysis, and predictive modeling, effectively aiding the fight against the coronavirus. Data Precision: Accurate and reliable data are essential for tracking virus spread. The book demonstrates how AI, IoT, and Blockchain can establish digital databases that ensure data accuracy, accessibility, and real-time monitoring, addressing the challenges faced by public healthcare systems. Innovative Applications: Chapters in this book cover a wide array of applications, from AI-driven models for COVID-19 analysis and prediction to the use of 3D printing technologies, IoT tools for virus control, and the impact of AI and IoT in healthcare. It also explores the role of social media in promoting social distancing. Advanced AI Techniques: Readers gain insights into cutting-edge AI techniques applied to COVID-19 in areas such as treatment, diagnosis, prognosis, chest X-ray and CT analysis, pandemic prediction, and pharmaceutical research. Industry 4.0: The book discusses Industry 4.0 technologies and their contribution to sustainable manufacturing, efficient management strategies, and their response to the challenges posed by the pandemic. Contributed by a distinguished panel of national and international researchers, with multidisciplinary backgrounds specializing in Artificial Intelligence, biomedical engineering, machine learning, and healthcare technology, public health and industrial automation. Each contribution includes derailed references to encourage scholarly research. This book serves as a valuable resource for academic and professional readers seeking to understand how modern computing technology has been harnessed to address the unique challenges posed by the COVID-19 pandemic. It offers insights into technological innovations and their potential for the betterment of society, especially in times of crisis. Readers will be introduced to computing techniques and methods to measure and monitor the impacts of medical emergencies similar to viral outbreaks and implement the necessary infection control protocols.

Exploring Ethical Dimensions of Environmental Sustainability and Use of AI

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Author : Kannan, Hemachandran
Publisher : IGI Global
ISBN 13 :
Total Pages : 447 pages
Book Rating : 4.3/5 (693 download)

Book Synopsis Exploring Ethical Dimensions of Environmental Sustainability and Use of AI by : Kannan, Hemachandran

Download or read book Exploring Ethical Dimensions of Environmental Sustainability and Use of AI written by Kannan, Hemachandran and published by IGI Global. This book was released on 2023-12-07 with total page 447 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring Ethical Dimensions of Environmental Sustainability and Use of AI is a comprehensive and insightful book that delves into the ethical implications and challenges that emerge at the intersection of environmental sustainability and the utilization of artificial intelligence (AI). With a focus on key ethical dimensions such as transparency, equity, privacy, autonomy, unintended consequences, and trade-offs, this book aims to provide a thorough understanding of the responsible deployment and development of AI in the realm of environmental sustainability. By addressing the ethical aspects and challenges involved, this book contributes to the development of ethical guidelines and frameworks that align AI technologies with the vision of a sustainable and equitable future. Researchers will find immense value in this book as it offers a holistic exploration of the ethical implications, filling a critical gap in the existing literature. Policymakers can gain valuable insights to inform the creation of ethical guidelines and regulations governing AI use in sustainable initiatives. Practitioners, including professionals working in environmental organizations or technology companies, will acquire practical knowledge to guide their decision-making and implementation of AI-driven solutions.

IoT Edge Intelligence

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Author : Souvik Pal
Publisher : Springer Nature
ISBN 13 : 3031583884
Total Pages : 392 pages
Book Rating : 4.0/5 (315 download)

Book Synopsis IoT Edge Intelligence by : Souvik Pal

Download or read book IoT Edge Intelligence written by Souvik Pal and published by Springer Nature. This book was released on with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt:

AI for Disaster Recovery

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Author : Roger Booth
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (563 download)

Book Synopsis AI for Disaster Recovery by : Roger Booth

Download or read book AI for Disaster Recovery written by Roger Booth and published by Independently Published. This book was released on 2023-08-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: When disaster strikes, preparedness and response can be the difference between chaos or order. How can we harness the latest developments in Artificial Intelligence (AI) to improve disaster management? Uncover the answers in this indispensable Special Report, "AI for Disaster Recovery: Planning, Mitigation, and Response". From understanding disasters and their implications to exploring the role of AI in disaster risk assessment, disaster planning and detection, this comprehensive report decodes the technical intricacies of AI within disaster management. Written by Roger Booth, an expert in both AI and disaster management, this report unites these two distinct realms into a compelling, accessible read. Booth's engaging storytelling style transforms complex topics into relatable narratives. With decades of experience, he leverages his profound knowledge and passion for technology and disaster preparedness to provide an insightful and practical resource. Key highlights include: The Role of AI in Disaster Risk Assessment Artificial Intelligence in Action: Disaster Planning, Detection, and Response Post-Disaster Recovery and AI: A Renewed Path to Rehabilitation Empowering Futures: Expanding the Reach of AI in Disaster Management Packed with expert insights, successful case studies, and thought provoking discussions on the future of the field, this report is a must-have guide for policy makers, leaders and anyone eager to delve into the transformative world of AI-empowered disaster management. Immerse yourself in this critical exploration of AI - a read that promises to enlighten, educate, and inspire.

Deception in Autonomous Transport Systems

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Author : Simon Parkinson
Publisher : Springer Nature
ISBN 13 : 3031550447
Total Pages : 196 pages
Book Rating : 4.0/5 (315 download)

Book Synopsis Deception in Autonomous Transport Systems by : Simon Parkinson

Download or read book Deception in Autonomous Transport Systems written by Simon Parkinson and published by Springer Nature. This book was released on with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: