Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor dispersion and leakage of pollutants before they reach groundwater. With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book help governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain better insight into the implementation of more effective remedial measures.
FEATURES
This book will appeal to scientists, researchers, and undergraduate and graduate students majoring in environmental or computer science and industry professionals in water science and engineering, environmental management, and governmental sectors. It showcases artificial intelligence applications in detecting environmental issues, with an emphasis on the mitigation and conservation of water and underground resources.
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Alaa El Din Mahmoud, Manal Fawzy, Nadeem Ahmad Khan
Written by experts in academia and industry Artificial Intelligence and Modeling for Water Sustainability: Global Challenges helps governments, industries, and homeowners address water pollution problems more quickly and efficiently, and gain better insight into the implementation of more effective remedial measures.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Alaa El Din Mahmoud is an Assistant Professor in the Environmental Sciences Department, Faculty of Science at Alexandria University and the co-leader of the Green Technology Lab. Dr. Mahmoud is also the Vice-Chair of the National Com. N° de réf. du vendeur 737238207
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