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Predicting and Monitoring Climate Risks Through Green AI: Weather Forecasting, Disaster Prediction, and Biodiversity Monitoring - Softcover
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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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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 multiple locations in the US or from the UK, 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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Predicting and Monitoring Climate Risks Through Green AI: Weather Forecasting, Disaster Prediction, and Biodiversity Monitoring
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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 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
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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
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Predicting and Monitoring Climate Risks Through Green AI: Weather Forecasting, Disaster Prediction, and Biodiversity Monitoring (Paperback)
Print on DemandSeller: AussieBookSeller, Truganina, VIC, Australia
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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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