Utilizing Ai And Machine Learning For Natural Disaster Management
DOWNLOAD
Download Utilizing Ai And Machine Learning For Natural Disaster Management PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Utilizing Ai And Machine Learning For Natural Disaster Management book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Utilizing Ai And Machine Learning For Natural Disaster Management
DOWNLOAD
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
DOWNLOAD
Author : T. V. Vijay Kumar
language : en
Publisher: Palgrave Macmillan
Release Date : 2020-11-18
Ai And Robotics In Disaster Studies written by T. V. Vijay Kumar and has been published by Palgrave Macmillan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-18 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.
Internet Of Things And Ai For Natural Disaster Management And Prediction
DOWNLOAD
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 Emerging Technologies For Emergency Response And Smart Cities
DOWNLOAD
Author : Mobo, Froilan D.
language : en
Publisher: IGI Global
Release Date : 2025-04-23
Ai And Emerging Technologies For Emergency Response And Smart Cities written by Mobo, Froilan 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 2025-04-23 with Technology & Engineering categories.
Emerging technologies are transforming diverse industries, enhancing efficiency and safety. Artificial intelligence (AI), in particular, can be useful for enhancing emergency response systems and developing smart cities and campuses. They can be leveraged to improve urban safety, streamline emergency management, and create sustainable smart environments. As a result, AI is an innovative solution for creating a safer future. AI and Emerging Technologies for Emergency Response and Smart Cities provides insights into the latest technological advancements and discusses the challenges, ethical considerations, and future directions in the rapidly evolving field of urban development. Covering topics such as disaster risk management, weapon identification, and early warning systems, this book is an excellent resource for urban developers, policymakers, professionals, researchers, scholars, academicians, and more.
Predicting Natural Disasters With Ai And Machine Learning
DOWNLOAD
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.
Future Role Of Sustainable Innovative Technologies In Crisis Management
DOWNLOAD
Author : Ali, Mohammed
language : en
Publisher: IGI Global
Release Date : 2022-04-18
Future Role Of Sustainable Innovative Technologies In Crisis Management written by Ali, Mohammed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-18 with Technology & Engineering categories.
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.
Driving Green Transportation System Through Artificial Intelligence And Automation
DOWNLOAD
Author : Alex Khang
language : en
Publisher: Springer Nature
Release Date : 2025-01-11
Driving Green Transportation System Through Artificial Intelligence And Automation written by Alex Khang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-11 with Technology & Engineering categories.
This book is designed to help transportation professionals and construction experts to develop and implement successful smart systems, leveraging the current trends, equipment, and advanced technologies to drive the green transportation system development. Artificial intelligence (AI) is a new direction that has opened a revolution in technology and smart applications, and it is also the basis for creating a green environment in the net-zero era. Therefore, machines, devices, self-driving car, and robots controlled by artificial intelligence-based systems are now the model of a smart transportation ecosystem for which all these technologies are referred to as "green" industries. In past years, the idea of making a green environment has been existing and moving on the society 5.0 being as a country strategy, and today, AI technology continues its development on this prototype. Nowadays, AI has begun actions to resemble a person in a real sense, and the idea of human-liked robotics put forward by scientists has started to be realized and will probably complete its development as living machines in the near future. AI has many subsystems and application in various industries, some of which have automation more accurately and are more integrated in modern industries. This book also targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, professionals, and students from different communities to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices to resolve the challenging issues associated with the leveraging of AI and Industrial Internet of Things (IIoT) in green transportation ecosystem.
Advancing Disaster Management Through Federated Learning
DOWNLOAD
Author : C Kishor Kumar Reddy
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2025-01-30
Advancing Disaster Management Through Federated Learning written by C Kishor Kumar Reddy and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-30 with Art categories.
Effective disaster management in an age of more frequent and devastating calamities requires creative solutions. This book explores the revolutionary possibilities of Federated Learning (FL) in crisis management, providing an all-inclusive manual that connects theory with practice. Learn how FL can change the game for disaster response and recovery decision-making, resource allocation, predictive modeling, and information sharing. Readers in the fields of emergency response, governance, research, and technology will find this book's wealth of real-world case studies and examples to be an important resource. It shows how FL improves catastrophe readiness and response by letting strong models be built while data privacy is maintained across decentralized sources. With a comprehensive roadmap that includes enhancing early warning systems, optimizing resource distribution, and integrating cutting-edge technologies like IoT, blockchain, and advanced AI, this book provides a clear explanation of how to use FL to protect communities, infrastructure, and lives during disasters.
Artificial Intelligence In Public Administration
DOWNLOAD
Author : Bożena Skotnicka-Zasadzień
language : en
Publisher: Taylor & Francis
Release Date : 2025-07-11
Artificial Intelligence In Public Administration written by Bożena Skotnicka-Zasadzień and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Business & Economics categories.
This book presents a conceptualization of the process of using artificial intelligence (AI) in public administration, along with its operationalization in terms of technology, competence, and the use of AI by employees of municipal offices. The authors offer a holistic examination, drawing on a multidisciplinary approach that combines theoretical insights with empirical analyses, to develop a theoretical model for improving the use of AI in public administration. The book provides a nuanced understanding of the complex interactions between AI technologies, governance structures, and public service delivery models, as well as diverse case studies across administrative domains to offer cross-national insights and shedding light on the contextual factors shaping AI adoption and implementation strategies. Through dedicated chapters on ethics and safety, the book also critically examines the challenges and opportunities policymakers must navigate when implementing AI. Combining theory with practice, this book will be of interest to scholars and post-graduate students in the fields of public administration, policy studies, governance as well as artificial intelligence and technology management.
Revolutionizing Urban Development And Governance With Emerging Technologies
DOWNLOAD
Author : Al Maqousi, Ali
language : en
Publisher: IGI Global
Release Date : 2025-04-17
Revolutionizing Urban Development And Governance With Emerging Technologies written by Al Maqousi, Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Political Science categories.
Emerging technologies revolutionize urban development and governance, offering innovative solutions to the complex challenges faced by modern cities. From smart infrastructure and data-driven decision-making to the rise of artificial intelligence, blockchain, and the Internet of Things (IoT), these technologies transform how cities are planned, built, and managed. Smart cities now leverage real-time data to optimize traffic flow, reduce energy consumption, enhance public services, and improve citizen engagement. Blockchain enables transparent governance and secure transactions, while AI assists in predictive modeling and urban planning. As these technologies continue to advance, they promise to create more sustainable, efficient, and resilient urban environments, where governance is more responsive, inclusive, and capable. Revolutionizing Urban Development and Governance With Emerging Technologies explores the dynamic and evolving domain of smart cities, with a focus on strategies, initiatives, and methodologies for project assessment. It emphasizes how emerging technologies, such as blockchain and smart contracts, revolutionize urban development by enhancing transparency, efficiency, and trust in urban governance and service delivery. This book covers topics such as digital twins, sensor technology, and smart cities, and is a useful resource for engineers, policymakers, urban developers, academicians, researchers, and environmental scientists.