9781032683829 - artificial intelligence for air quality monitoring and prediction (12 risultati)
Artificial Intelligence for Air Quality Monitoring and Prediction (AI Applications in Earth Science)
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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 77,86
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Condizione: New.
Artificial Intelligence for Air Quality Monitoring and Prediction (AI Applications in Earth Science)
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 77,52
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Condizione: New.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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EUR 80,35
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Artificial Intelligence for Air Quality Monitoring and Prediction (AI Applications in Earth Science)
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 89,31
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Condizione: New.
Artificial Intelligence for Air Quality Monitoring and Prediction (AI Applications in Earth Science)
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 103,09
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Condizione: New.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 102,17
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Paperback. Condizione: Brand New. 301 pages. 6.14x0.64x9.21 inches. In Stock.
- Altre immagini
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Da: moluna, Greven, Germaniamoluna
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EUR 78,94
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Condizione: New. Amit Awasthi is Associate Professor at the University of Petroleum and Energy Studies, Dehradun, India. He completed his PhD at Thapar University, Patiala, in 2011, and has over 18 years of professional experience in the areas of researc.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 106,26
EUR 62,13 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware - This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in the field of air quality management. It explains the linkage between conventional approaches used in air quality monitoring and AI techniques such as data collection and prepr…ocessing, deep learning, machine vision, natural language processing, and ensemble methods. The integration of climate models and AI enables readers to understand the relationship between air quality and climate change. Different case studies demonstrate the application of various air monitoring and prediction methodologies and their effectiveness in addressing real-world air quality challenges.Features - A thorough coverage of air quality monitoring and prediction techniques. - In-depth evaluation of cutting-edge AI techniques such as machine learning and deep learning. - Diverse global perspectives and approaches in air quality monitoring and prediction. - Practical insights and real-world case studies from different monitoring and prediction techniques. - Future directions and emerging trends in AI-driven air quality monitoring. This is a great resource for professionals, researchers, and students interested in air quality management and control in the fields of environmental science and engineering, atmospheric science and meteorology, data science, and AI.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 60,95
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Paperback. Condizione: new. Paperback. This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in the field of air quality management. It explains the linkage between conventional approaches used in air quality monitoring and AI techniques such as data collection and prepro…cessing, deep learning, machine vision, natural language processing, and ensemble methods. The integration of climate models and AI enables readers to understand the relationship between air quality and climate change. Different case studies demonstrate the application of various air monitoring and prediction methodologies and their effectiveness in addressing real-world air quality challenges.FeaturesA thorough coverage of air quality monitoring and prediction techniques.In-depth evaluation of cutting-edge AI techniques such as machine learning and deep learning.Diverse global perspectives and approaches in air quality monitoring and prediction.Practical insights and real-world case studies from different monitoring and prediction techniques.Future directions and emerging trends in AI-driven air quality monitoring.This is a great resource for professionals, researchers, and students interested in air quality management and control in the fields of environmental science and engineering, atmospheric science and meteorology, data science, and AI. This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in air quality management. It explains the linkage between conventional approaches used in air quality monitoring with AI techniques such as data collection, preprocessing, deep learning, machine vision, ensemble methods, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 59,64
EUR 43,30 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in the field of air quality management. It explains the linkage between conventional approaches used in air quality monitoring and AI techniques such as data collection and prepro…cessing, deep learning, machine vision, natural language processing, and ensemble methods. The integration of climate models and AI enables readers to understand the relationship between air quality and climate change. Different case studies demonstrate the application of various air monitoring and prediction methodologies and their effectiveness in addressing real-world air quality challenges.FeaturesA thorough coverage of air quality monitoring and prediction techniques.In-depth evaluation of cutting-edge AI techniques such as machine learning and deep learning.Diverse global perspectives and approaches in air quality monitoring and prediction.Practical insights and real-world case studies from different monitoring and prediction techniques.Future directions and emerging trends in AI-driven air quality monitoring.This is a great resource for professionals, researchers, and students interested in air quality management and control in the fields of environmental science and engineering, atmospheric science and meteorology, data science, and AI. This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in air quality management. It explains the linkage between conventional approaches used in air quality monitoring with AI techniques such as data collection, preprocessing, deep learning, machine vision, ensemble methods, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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- Print on Demand
Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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EUR 92,14
EUR 18,73 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 102,32
EUR 32,52 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in the field of air quality management. It explains the linkage between conventional approaches used in air quality monitoring and AI techniques such as data collection and prepro…cessing, deep learning, machine vision, natural language processing, and ensemble methods. The integration of climate models and AI enables readers to understand the relationship between air quality and climate change. Different case studies demonstrate the application of various air monitoring and prediction methodologies and their effectiveness in addressing real-world air quality challenges.FeaturesA thorough coverage of air quality monitoring and prediction techniques.In-depth evaluation of cutting-edge AI techniques such as machine learning and deep learning.Diverse global perspectives and approaches in air quality monitoring and prediction.Practical insights and real-world case studies from different monitoring and prediction techniques.Future directions and emerging trends in AI-driven air quality monitoring.This is a great resource for professionals, researchers, and students interested in air quality management and control in the fields of environmental science and engineering, atmospheric science and meteorology, data science, and AI. This book is a comprehensive overview of advancements in artificial intelligence (AI) and how it can be applied in air quality management. It explains the linkage between conventional approaches used in air quality monitoring with AI techniques such as data collection, preprocessing, deep learning, machine vision, ensemble methods, and more. 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.
