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Titlebook: AI and Robotics in Disaster Studies; T. V. Vijay Kumar,Keshav Sud Book 2020 The Editor(s) (if applicable) and The Author(s), under exclusi

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發(fā)表于 2025-3-21 16:34:07 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱AI and Robotics in Disaster Studies
影響因子2023T. V. Vijay Kumar,Keshav Sud
視頻videohttp://file.papertrans.cn/143/142812/142812.mp4
發(fā)行地址Introduces policy makers to benefits and challenges of artificial intelligence and robotics.Liberates disaster management from technology deterministic approach to a more holistic and inclusive dialog
學(xué)科分類Disaster Research and Management Series on the Global South
圖書封面Titlebook: AI and Robotics in Disaster Studies;  T. V. Vijay Kumar,Keshav Sud Book 2020 The Editor(s) (if applicable) and The Author(s), under exclusi
影響因子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 a
Pindex Book 2020
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Optimal Visual Cues for Smartphone Earthquake Alert Systems: Preliminary Data from Lab and Field Exp978-3-642-19842-7
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Using Artificial Intelligence and Social Media for Disaster Response and Management: An Overview978-3-322-81600-9
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Ioannis T. Christou,Robert R. Meyerbe planned leading to timely alerts and warnings being disseminated to the relevant stakeholders. In this paper, an overview of . and . based machine learning techniques capable of being used for designing such systems are discussed. Further, an overview of various real world examples of . based . a
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Implementing Database Designs in Oraclechapter will look at the opportunities and ambiguities of borrowing the principles from disaster management and environmental law into the application of AI. Drawing upon the literature, the authors locate legal personality, liability, regulation and possible considerations of making AI a viable too
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