{"product_id":"integrating-ai-for-sustainable-disaster-management","title":"Integrating AI for Sustainable Disaster Management","description":"\u003cp\u003e\u003cb\u003eFuture-proof your disaster management strategy with this essential, multidisciplinary guide that shows how cutting-edge AI technologies can be practically integrated to enhance early warning systems, save lives, and build long-term community resilience.\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eBy bridging the fields of AI, engineering, and sustainable development, this book offers a comprehensive, multidisciplinary approach to disaster management. It provides valuable insights for researchers, practitioners, and policymakers on how to integrate AI to improve decision-making, enhance infrastructure design, and promote long-term sustainability. This book explores the transformative role of artificial intelligence in enhancing disaster resilience and promoting sustainable disaster management practices. The book delves into cutting-edge AI technologies, such as machine learning, deep learning, robotics, and big data analytics, showcasing their potential to improve risk assessment, early warning systems, and real-time disaster response. It focuses on practical applications for mitigating natural hazards like earthquakes, cyclones, and mass movements, providing real-world case studies and successes that demonstrate how AI can save lives, reduce economic loss, and strengthen community resilience. The practical examples and forward-looking perspectives explored in this book make it a crucial resource for anyone working to mitigate the impacts of natural disasters and build a more resilient, sustainable future. \u003c\/p\u003e\u003cp\u003eReaders will find the volume: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplores how artificial intelligence enhances risk assessment, early warning systems, and realtime disaster response;\u003c\/li\u003e\n\u003cli\u003eProvides practical insights through detailed examples of AI applications in earthquakes, cyclones, and mass movement management;\u003c\/li\u003e\n\u003cli\u003eDemonstrates how AI can support sustainable practices and align with global development goals to build resilient communities;\u003c\/li\u003e\n\u003cli\u003eProvides comprehensive coverage, combining expertise from AI, engineering, sustainability development, and disaster management practitioners;\u003c\/li\u003e\n\u003cli\u003eIntroduces the latest AI techniques, including IoT, big data, deep learning, and robotics, for effective disaster prevention and recovery.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003cb\u003eAudience\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eResearchers, civil, structural, and environmental engineers, policymakers, and graduate students involved in disaster management, sustainable development, AI, and data science.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":54232887230808,"sku":"9781394271573","price":236.78,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781394271573_d9f029e8-61ad-4b31-aa95-45e9151715ba.jpg?v=1780394425","url":"https:\/\/agendabookshop.com\/products\/integrating-ai-for-sustainable-disaster-management","provider":"Agenda Bookshop","version":"1.0","type":"link"}