AI-Driven Environmental Pollution Management

This book provides a comprehensive overview of the challenges caused by environmental pollution on a global scale, and delves into the intricate sources of air, water, and noise pollution. It discusses cutting-edge technologies such as IoT-based systems and AI integration for pollution detection and...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Tiwari, Shashi Kant (Editor), Fegade, Atul (Editor), Kamal, Mustafa (Editor)
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edition:	1st ed. 2025.
Series:	Climate Risks and Solutions,
Subjects:	Artificial intelligence. Environmental management. Machine learning. Pollution. Biogeography. Artificial Intelligence. Environmental Management. Machine Learning. Biogeosciences.
Online Access:	https://doi.org/10.1007/978-3-031-96243-1
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