Artificial intelligence air quality (27 Ergebnisse)

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Zustand: 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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Taschenbuch. Zustand: 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 preprocessing, 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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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence may feel like a digital technology, but the systems behind it depend on enormous amounts of physical infrastructure. Data centers filled with powerful computing equipment require electricity, cooling systems, water, land, backup power, and an expanding network of supporting infrastructure.The Environmental Impact of AI Data Centers provides an accessible and balanced introduction to the environmental footprint behind the rapid growth of artificial intelligence.This book explores how AI data centers consume electricity, why some facilities require significant amounts of water for cooling, and how their operations can contribute to carbon emissions and local air pollution. Readers will also learn how the environmental effects of a data center can extend beyond the facility itself through power generation, construction, semiconductor manufacturing, transmission infrastructure, and the production and disposal of computing equipment.The environmental impact of AI is not the same everywhere. Location, climate, cooling technology, electricity sources, facility design, and local regulations can dramatically change the footprint of individual data centers. This guide examines these differences while avoiding the assumption that every AI facility has the same environmental consequences.The book also explores efforts to make data centers more sustainable, including renewable and lower-carbon electricity, more efficient computing hardware, improved cooling systems, water conservation, heat reuse, cleaner backup power, and better data center design.Whether you are interested in artificial intelligence, technology, sustainability, energy, environmental issues, or the infrastructure being constructed to support the AI economy, this book provides a straightforward introduction to one of the most important environmental conversations surrounding modern technology.…

Taschenbuch. Zustand: Neu. The Environmental Impact of AI Data Centers | Understanding Water Consumption, Electricity Demand, Carbon Emissions, Air Quality, and the Hidden Infrastructure Behind Artificial Intelligence | Roggie Clark (u. a.) | Taschenbuch | Englisch | 2026 | Bounce Rank | EAN 9781088264126 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Paperback. Zustand: 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 preprocessing, 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.…

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.…