The growing environmental challenges of the 21st century—including climate change, resource depletion, and biodiversity loss—require innovative technological solutions. Artificial Intelligence for Environmental Sustainability: Machine Learning and IoT Solutions explores how Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) can drive sustainable environmental management. The monograph introduces core concepts of AI, ML, and IoT, and examines their integration for real-time monitoring, data analysis, and optimization of environmental processes. It highlights applications in climate prediction, smart energy and water management, precision agriculture, waste reduction, and biodiversity conservation, supported by real-world case studies. The work also addresses ethical considerations, data security, and scalability challenges to present a balanced perspective. By combining theory with practical insights, this monograph serves as a valuable resource for students, researchers, practitioners, and policymakers, promoting innovation, interdisciplinary collaboration, and informed decision-making toward resilient and sustainable ecosystems.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The growing environmental challenges of the 21st century-including climate change, resource depletion, and biodiversity loss-require innovative technological solutions. Artificial Intelligence for Environmental Sustainability: Machine Learning and IoT Solutions explores how Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) can drive sustainable environmental management. The monograph introduces core concepts of AI, ML, and IoT, and examines their integration for real-time monitoring, data analysis, and optimization of environmental processes. It highlights applications in climate prediction, smart energy and water management, precision agriculture, waste reduction, and biodiversity conservation, supported by real-world case studies. The work also addresses ethical considerations, data security, and scalability challenges to present a balanced perspective. By combining theory with practical insights, this monograph serves as a valuable resource for students, researchers, practitioners, and policymakers, promoting innovation, interdisciplinary collaboration, and informed decision-making toward resilient and sustainable ecosystems. 100 pp. Englisch. N° de réf. du vendeur 9786209656903
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The growing environmental challenges of the 21st century-including climate change, resource depletion, and biodiversity loss-require innovative technological solutions. Artificial Intelligence for Environmental Sustainability: Machine Learning and IoT Solutions explores how Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) can drive sustainable environmental management. The monograph introduces core concepts of AI, ML, and IoT, and examines their integration for real-time monitoring, data analysis, and optimization of environmental processes. It highlights applications in climate prediction, smart energy and water management, precision agriculture, waste reduction, and biodiversity conservation, supported by real-world case studies. The work also addresses ethical considerations, data security, and scalability challenges to present a balanced perspective. By combining theory with practical insights, this monograph serves as a valuable resource for students, researchers, practitioners, and policymakers, promoting innovation, interdisciplinary collaboration, and informed decision-making toward resilient and sustainable ecosystems. N° de réf. du vendeur 9786209656903
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Taschenbuch. Etat : Neu. AI for Environmental Sustainability: ML and IoT Solutions | J. Refonaa | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209656903 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 134809883
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Paperback. Etat : new. Paperback. The growing environmental challenges of the 21st century-including climate change, resource depletion, and biodiversity loss-require innovative technological solutions. Artificial Intelligence for Environmental Sustainability: Machine Learning and IoT Solutions explores how Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) can drive sustainable environmental management. The monograph introduces core concepts of AI, ML, and IoT, and examines their integration for real-time monitoring, data analysis, and optimization of environmental processes. It highlights applications in climate prediction, smart energy and water management, precision agriculture, waste reduction, and biodiversity conservation, supported by real-world case studies. The work also addresses ethical considerations, data security, and scalability challenges to present a balanced perspective. By combining theory with practical insights, this monograph serves as a valuable resource for students, researchers, practitioners, and policymakers, promoting innovation, interdisciplinary collaboration, and informed decision-making toward resilient and sustainable ecosystems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9786209656903
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The growing environmental challenges of the 21st century-including climate change, resource depletion, and biodiversity loss-require innovative technological solutions. Artificial Intelligence for Environmental Sustainability: Machine Learning and IoT Solutions explores how Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) can drive sustainable environmental management. The monograph introduces core concepts of AI, ML, and IoT, and examines their integration for real-time monitoring, data analysis, and optimization of environmental processes. It highlights applications in climate prediction, smart energy and water management, precision agriculture, waste reduction, and biodiversity conservation, supported by real-world case studies. The work also addresses ethical considerations, data security, and scalability challenges to present a balanced perspective. By combining theory with practical insights, this monograph serves as a valuable resource for students, researchers, practitioners, and policymakers, promoting innovation, interdisciplinary collaboration, and informed decision-making toward resilient and sustainable ecosystems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch. N° de réf. du vendeur 9786209656903
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