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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| Tác giả của công ty: | |
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| Tác giả khác: | , , |
| Định dạng: | Điện tử eBook |
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Phiên bản: | 1st ed. 2025. |
| Loạt: | Climate Risks and Solutions,
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| Những chủ đề: | |
| Truy cập trực tuyến: | https://doi.org/10.1007/978-3-031-96243-1 |
| Các nhãn: |
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| Tóm tắt: | 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 monitoring networks. With a focus on machine learning and deep learning models, the book provides insights into assessing, predicting, and mitigating the impact of pollution. Furthermore, it examines the implementation of AI-driven strategies for pollution control and reduction, alongside considerations for urban planning and sustainable infrastructure development. This indispensable resource navigates the social, policy, and economic implications of employing AI in environmental governance, emphasizing the importance of global cooperation for effective pollution management. The book will help readers to:1. Understand the adverse effect of environmental pollution in the era of new age. 2. Implement advanced management techniques that integrate sustainability into various environmental business economics.3. Explore effective environmental control and mitigation strategies using Internet of Things technologies and data analytics.4. Leverage AI/ML/DL for accurate environmental monitoring, modelling, prediction and decision-making.5. Navigate the complexities of Industry 4.0 to achieve sustainable development goals. |
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| Mô tả vật lý: | 1 online resource (XVII, 297 p. 79 illus.). 71 illus. in color. |
| số ISBN: | 9783031962431 |
| số ISSN: | 3005-1673 |
| DOI: | 10.1007/978-3-031-96243-1 |