AI for Resilient Cities
Predicting, Protecting, and Thriving in a Changing Climate
Buch in deiner Nähe kaufen
Beschreibung
This book explores the transformative role that artificial intelligence (AI) can play in disaster resilience, particularly in the context of rapidly changing climate conditions. This book delves into the advanced AI models and techniques that are reshaping how cities predict, respond to, and recover from natural disasters. It provides a comprehensive view of how AI-driven technologies can enhance disaster management, offering predictive models, real-time monitoring systems, and optimized post-disaster recovery strategies. The scope of this book extends across the full spectrum of disaster management, from preparedness and mitigation to response and recovery, illustrating how AI can be integrated into each phase to reduce risks, improve efficiency, and enhance resilience.
- Explains AI models for accurate disaster prediction and early warning
- Illustrates AI-driven systems for real-time disaster monitoring and response
- Demonstrates equitable resource allocation through AI in disaster recovery
This book explores the transformative role that artificial intelligence (AI) can play in disaster resilience, particularly in the context of rapidly changing climate conditions. This book delves into the advanced AI models and techniques that are reshaping how cities predict, respond to, and recover from natural disasters. It provides a comprehensive view of how AI-driven technologies can enhance disaster management, offering predictive models, real-time monitoring systems, and optimized post-disaster recovery strategies. The scope of this book extends across the full spectrum of disaster management, from preparedness and mitigation to response and recovery, illustrating how AI can be integrated into each phase to reduce risks, improve efficiency, and enhance resilience.
Explains AI models for accurate disaster prediction and early warning Illustrates AI-driven systems for real-time disaster monitoring and response Demonstrates equitable resource allocation through AI in disaster recovery
Autor*in
Dimitrios Sargiotis
Themen in »AI for Resilient Cities«
AI-driven disaster management predictive disaster modeling machine learning in disaster response real-time disaster monitoring reinforcement learning in crisis management urban resilience and AI Convolutional Neural Networks for disaster prediction Federated Learning for disaster relief AI-powered disaster recovery smart cities and climate change Artificial Intelligence for Urban Resilience Disaster Prediction Deep Reinforcement Learning (DRL) Federated Learning Ethical AI