Predicting and Monitoring Climate Risks Through Green AI: Weather Forecasting, Disaster Prediction, and Biodiversity Monitoring - Softcover
Synopsis
As climate change rises, the need for strategies to predict and manage environmental risks increases. Green artificial intelligence (Green AI) emerges as a powerful tool, harnessing advanced machine learning and data analytics to monitor climate patterns, forecast extreme weather events, and assess environmental vulnerabilities with accuracy. By processing satellite, sensor, and atmospheric data, AI-driven models enable scientists, policymakers, and communities to make informed decisions that mitigate the impact of floods, droughts, wildfires, and other climate threats. Through sustainable and intelligent technology, Green AI helps organizations move toward a future defined by resilience, foresight, and environmental stewardship. Predicting and Monitoring Climate Risks Through Green AI: Weather Forecasting, Disaster Prediction, and Biodiversity Monitoring explores how AI reshapes solutions for a greener, more sustainable environment. It examines intelligent technologies as tools for renewable energy system optimization, smart city building, and agricultural and ecosystem revolution. This book covers topics such as smart cities, green technology, and renewable energy, and is a useful resource for business owners, engineers, academicians, researchers, and environmental scientists.
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About the Author
Fanar Shwedeh is a Computer Science specialist and a researcher working in the area of AI Innovations, Information Systems and Technology Management besides teaching as an Associate Professor in City University Ajman. Holds a PhD degree in Technology Management Information Systems from Utara University Malaysia, Masters in Business Management, BSc in Computer Science from the University of Sharjah and high Diploma in Cyber Security of Information Systems from the USA Cyber Security Institution. Dr. Fanar has published research publications in highly impacted international journals, and she is an academic chief reviewer of reputable International Scopus-indexed journals. Dr. Fanar is a member of the research academic unit in Dubai Smart government office. She was awarded the H.H. Sheikh Hamdan Bin Rashid Al-Maktoum Award for Distinguished Performance in 2020. Furthermore, she is the editor of the book chapter “Sustainable Leadership for Environmental Risk”, Springer 2025.
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Paperback. Condition: new. Paperback. As climate change rises, the need for strategies to predict and manage environmental risks increases. Green artificial intelligence (Green AI) emerges as a powerful tool, harnessing advanced machine learning and data analytics to monitor climate patterns, forecast extreme weather events, and assess environmental vulnerabilities with accuracy. By processing satellite, sensor, and atmospheric data, AI-driven models enable scientists, policymakers, and communities to make informed decisions that mitigate the impact of floods, droughts, wildfires, and other climate threats. Through sustainable and intelligent technology, Green AI helps organizations move toward a future defined by resilience, foresight, and environmental stewardship. Predicting and Monitoring Climate Risks Through Green AI: Weather Forecasting, Disaster Prediction, and Biodiversity Monitoring explores how AI reshapes solutions for a greener, more sustainable environment. It examines intelligent technologies as tools for renewable energy system optimization, smart city building, and agricultural and ecosystem revolution. This book covers topics such as smart cities, green technology, and renewable energy, and is a useful resource for business owners, engineers, academicians, researchers, and environmental scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798337375557
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Predicting and Monitoring Climate Risks Through Green AI: Weather Forecasting, Disaster Prediction, and Biodiversity Monitoring (Paperback)
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Paperback. Condition: new. Paperback. As climate change rises, the need for strategies to predict and manage environmental risks increases. Green artificial intelligence (Green AI) emerges as a powerful tool, harnessing advanced machine learning and data analytics to monitor climate patterns, forecast extreme weather events, and assess environmental vulnerabilities with accuracy. By processing satellite, sensor, and atmospheric data, AI-driven models enable scientists, policymakers, and communities to make informed decisions that mitigate the impact of floods, droughts, wildfires, and other climate threats. Through sustainable and intelligent technology, Green AI helps organizations move toward a future defined by resilience, foresight, and environmental stewardship. Predicting and Monitoring Climate Risks Through Green AI: Weather Forecasting, Disaster Prediction, and Biodiversity Monitoring explores how AI reshapes solutions for a greener, more sustainable environment. It examines intelligent technologies as tools for renewable energy system optimization, smart city building, and agricultural and ecosystem revolution. This book covers topics such as smart cities, green technology, and renewable energy, and is a useful resource for business owners, engineers, academicians, researchers, and environmental scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798337375557
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Predicting and Monitoring Climate Risks Through Green AI | Weather Forecasting, Disaster Prediction, and Biodiversity Monitoring
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Taschenbuch. Condition: Neu. Predicting and Monitoring Climate Risks Through Green AI | Weather Forecasting, Disaster Prediction, and Biodiversity Monitoring | Fanar Shwedeh | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337375557 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 135209742
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Predicting and Monitoring Climate Risks Through Green AI : Weather Forecasting, Disaster Prediction, and Biodiversity Monitoring
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As climate change rises, the need for strategies to predict and manage environmental risks increases. Green artificial intelligence (Green AI) emerges as a powerful tool, harnessing advanced machine learning and data analytics to monitor climate patterns, forecast extreme weather events, and assess environmental vulnerabilities with accuracy. By processing satellite, sensor, and atmospheric data, AI-driven models enable scientists, policymakers, and communities to make informed decisions that mitigate the impact of floods, droughts, wildfires, and other climate threats. Through sustainable and intelligent technology, Green AI helps organizations move toward a future defined by resilience, foresight, and environmental stewardship. Predicting and Monitoring Climate Risks Through Green AI: Weather Forecasting, Disaster Prediction, and Biodiversity Monitoring explores how AI reshapes solutions for a greener, more sustainable environment. It examines intelligent technologies as tools for renewable energy system optimization, smart city building, and agricultural and ecosystem revolution. This book covers topics such as smart cities, green technology, and renewable energy, and is a useful resource for business owners, engineers, academicians, researchers, and environmental scientists. Seller Inventory # 9798337375557