Artificial Intelligence for Air Quality Monitoring and Prediction

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Synopsis

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.

Book details

Series:
AI Applications in Earth Science
Author:
Amit Awasthi, Kanhu Charan Pattnayak, Gaurav Dhiman, Pushp Raj Tiwari
ISBN:
9781040131190
Related ISBNs:
9781032683805, 9781032683799, 9781040131183
Publisher:
CRC Press
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2024-10-02
Usage restrictions:
Copyright
Copyright date:
2025
Copyright by:
selection and editorial matter, Amit Awasthi, Kanhu Charan Pattnayak, Gaurav Dhima, and Pushp Raj Tiwari 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Earth Sciences, Nonfiction, Technology