Internet Of Things And Ai For Natural Disaster Management And Prediction
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Internet Of Things And Ai For Natural Disaster Management And Prediction
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Author : Satishkumar, D.
language : en
Publisher: IGI Global
Release Date : 2024-03-07
Internet Of Things And Ai For Natural Disaster Management And Prediction written by Satishkumar, D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-07 with Nature categories.
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.
Ai And Iot For Proactive Disaster Management
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Author : Ouaissa, Mariyam
language : en
Publisher: IGI Global
Release Date : 2024-05-06
Ai And Iot For Proactive Disaster Management written by Ouaissa, Mariyam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-06 with Computers categories.
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.
Predicting Natural Disasters With Ai And Machine Learning
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Author : Satishkumar, D.
language : en
Publisher: IGI Global
Release Date : 2024-02-16
Predicting Natural Disasters With Ai And Machine Learning written by Satishkumar, D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-16 with Nature categories.
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.
Utilizing Ai And Machine Learning For Natural Disaster Management
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Author : Satishkumar, D.
language : en
Publisher: IGI Global
Release Date : 2024-04-29
Utilizing Ai And Machine Learning For Natural Disaster Management written by Satishkumar, D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-29 with Nature categories.
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
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Author : T. V. Vijay Kumar
language : en
Publisher: Springer Nature
Release Date : 2020-10-12
Ai And Robotics In Disaster Studies written by T. V. Vijay Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-12 with Business & Economics categories.
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.
Reshaping Environmental Science Through Machine Learning And Iot
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Author : Gupta, Rajeev Kumar
language : en
Publisher: IGI Global
Release Date : 2024-05-06
Reshaping Environmental Science Through Machine Learning And Iot written by Gupta, Rajeev Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-06 with Technology & Engineering categories.
In the face of escalating environmental challenges such as climate change, air and water pollution, and natural disasters, traditional approaches to understanding and addressing these issues have yet to be proven sufficient. Academic scholars are compelled to seek innovative solutions that marry digital intelligence and natural ecosystems. Reshaping Environmental Science Through Machine Learning and IoT serves as a comprehensive exploration into the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) to address critical environmental challenges. The book establishes a robust foundation in ML and IoT, explaining their relevance to environmental science. As the narrative unfolds, it delves into diverse applications, providing theoretical insights alongside practical knowledge. From interpreting weather patterns to predicting air and water quality, the book navigates through the intricate web of environmental complexities. Notably, it unveils approaches to disaster management, waste sorting, and climate change monitoring, showcasing the symbiotic relationship between digital intelligence and natural ecosystems. This book is ideal for audiences from students and researchers to data scientists and disaster management professionals with a nuanced understanding of IoT, ML, and Artificial Intelligence (AI).
Gastronomic Sustainability Solutions For Community And Tourism Resilience
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Author : Bhartiya, Shivam
language : en
Publisher: IGI Global
Release Date : 2024-04-15
Gastronomic Sustainability Solutions For Community And Tourism Resilience written by Bhartiya, Shivam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-15 with Business & Economics categories.
In the rapidly changing landscape of global tourism and community dynamics, a pressing challenge emerges — the delicate balance between gastronomy tourism, community development, and social impact. As communities grapple with the consequences of unchecked tourism, the need for a sustainable approach becomes vital. Gastronomic Sustainability Solutions for Community and Tourism Resilience is a groundbreaking exploration illuminating the intricate interplay between food, culture, and socio-economic aspects. This comprehensive work identifies the challenges and presents innovative solutions that transcend traditional paradigms, ensuring the long-term well-being of both host communities and the ever-evolving world of travel. Gastronomic Sustainability Solutions for Community and Tourism Resilience is a transformative narrative revealing sustainable gastronomy practices' power. As communities seek avenues for economic growth and cultural preservation, this book charts a course toward genuine, mutually beneficial travel experiences. Through compelling case studies and theoretical insights, readers are guided through a journey showcasing how gastronomy tourism's convergence can revitalize local economies, celebrate cultural heritage, and foster cross-cultural understanding. The book proposes a paradigm shift in how we approach travel and provides tangible strategies for community leaders, businesses, and individuals to embrace a more sustainable and responsible future.
Secure And Intelligent Iot Enabled Smart Cities
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Author : Singh, Sushil Kumar
language : en
Publisher: IGI Global
Release Date : 2024-04-01
Secure And Intelligent Iot Enabled Smart Cities written by Singh, Sushil Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-01 with Political Science categories.
Smart cities are experiencing a rapid evolution. The integration of technologies such as 5G, Internet of Things (IoT), Artificial Intelligence (AI), and blockchain has ushered in transformative applications, enhancing the quality of urban life. However, this evolution comes with its own challenges, most notably in security and privacy. Secure and Intelligent IoT-Enabled Smart Cities addresses these concerns, exploring theoretical frameworks and empirical research findings. The book embarks on the foundational elements of the Internet of Things, delving into the convergence of IoT and smart city applications, elucidating the layered architecture of IoT, and highlighting the security issues inherent in IoT-enabled Smart Cities. This book pinpoints the challenges smart city infrastructures face and offers innovative and pragmatic solutions to fortify their security. This book targets professionals and researchers immersed in the dynamic field of secure and intelligent environments within IoT-enabled smart city applications. It is a valuable resource for executives grappling with the strategic implications of emerging technologies in smart healthcare, smart parking, smart manufacturing, smart transportation, and beyond.
Exploring The Ethical Implications Of Generative Ai
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Author : Ara, Aftab
language : en
Publisher: IGI Global
Release Date : 2024-04-04
Exploring The Ethical Implications Of Generative Ai written by Ara, Aftab and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-04 with Computers categories.
Generative Artificial Intelligence (AI), an ever-evolving technology, holds immense promise across various industries, from healthcare to content generation. However, its rapid advancement has also given rise to profound ethical concerns. Illicit black-market industries exploit generative AI for counterfeit imagery, and in educational settings, biases and misinformation perpetuate. These issues underscore the need to grapple with the risks accompanying generative AI integration. Exploring the Ethical Implications of Generative AI emerges as a wellspring of insight for discerning academic scholars. It sets the stage by acknowledging generative AI's multifaceted potential and its capacity to reshape industries. The book addresses these complex ethical concerns, offering a comprehensive analysis and providing a roadmap for responsible AI development and usage. Its intended audience spans business leaders, policymakers, scholars, and individuals passionate about the ethical dimensions of AI.
Shaping The Future Of Automation With Cloud Enhanced Robotics
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Author : Gatti, Rathishchandra Ramachandra
language : en
Publisher: IGI Global
Release Date : 2024-04-26
Shaping The Future Of Automation With Cloud Enhanced Robotics written by Gatti, Rathishchandra Ramachandra and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Technology & Engineering categories.
In a world where automation is quickly becoming a standard, a significant challenge arises – the need for robots to overcome their inherent limitations in processing power and storage. This bottleneck restricts their potential for innovation and collaboration, hindering the realization of true autonomous capabilities. The burgeoning field of Cloud Robotics promises a revolutionary solution by seamlessly integrating robots with cloud-based technologies. This integration empowers robots to offload computation tasks, tap into vast data resources, and engage in real-time collaboration with their mechanical counterparts. Existing literature often falls short of providing a holistic understanding of the complex interplay between robotics and cloud computing. Researchers, academics, and industry professionals find themselves grappling with fragmented insights, hindering their ability to harness the full potential of cloud-enhanced robotics. The lack of a centralized resource leaves a void, impeding progress and innovation in this groundbreaking field. Without a roadmap to navigate the challenges and opportunities presented by cloud robotics, stakeholders risk being left behind in an era where interdisciplinary collaboration is paramount. Enter Shaping the Future of Automation With Cloud-Enhanced Robotics, a beacon of knowledge designed specifically for academics, researchers, and industry professionals seeking to unlock the transformative power of cloud robotics. From fundamental principles to advanced applications, each chapter meticulously unravels the intricacies of cloud infrastructure, communication protocols, data management, human-robot interaction, and more. By addressing challenges and proposing solutions, this book not only disseminates recent advancements but also equips readers with actionable insights. Real-world examples and case studies illuminate the practical applications and benefits of cloud-enhanced robotics, making it an indispensable guide for professionals aiming to implement these innovations in their operations.