9781032683829 - artificial intelligence for air quality monitoring and prediction (ai applications in earth science) (11 resultados)

Artificial Intelligence for Air Quality Monitoring and Prediction (AI Applications in Earth Science)
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 77,48
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Artificial Intelligence for Air Quality Monitoring and Prediction (AI Applications in Earth Science)
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 77,14
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Artificial Intelligence for Air Quality Monitoring and Prediction (AI Applications in Earth Science)
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 89,31
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Artificial Intelligence for Air Quality Monitoring and Prediction (AI Applications in Earth Science)
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 102,58
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Condición: New.

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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 101,89
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Paperback. Condición: Brand New. 301 pages. 6.14x0.64x9.21 inches. In Stock.

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Librería: moluna, Greven, Alemaniamoluna
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EUR 78,94
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Condición: 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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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 106,26
Envío por EUR 62,13Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: 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 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.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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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 60,65
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Paperback. Condición: 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 preproc…essing, 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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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 59,80
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Paperback. Condición: 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 preproc…essing, 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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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 92,38
Envío por EUR 18,78Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 101,46
Envío por EUR 32,36Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: 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 preproc…essing, 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.