03728nam 22006975 450 991103167000332120251001130728.03-031-96243-510.1007/978-3-031-96243-1(CKB)41520901900041(MiAaPQ)EBC32323237(Au-PeEL)EBL32323237(DE-He213)978-3-031-96243-1(OCoLC)1543124268(EXLCZ)994152090190004120251001d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAI-Driven Environmental Pollution Management /edited by Shashi Kant Tiwari, Atul Fegade, Mustafa Kamal1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (392 pages)Climate Risks and Solutions,3005-16733-031-96242-7 Understanding Environmental Pollution -- Advanced Monitoring Techniques -- Artificial Intelligence In Pollution Management -- Economic And Sustainable Solutions -- Technological Innovations For Sustainability -- Index.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.Climate Risks and Solutions,3005-1673Artificial intelligenceEnvironmental managementMachine learningPollutionBiogeographyArtificial IntelligenceEnvironmental ManagementMachine LearningPollutionBiogeosciencesArtificial intelligence.Environmental management.Machine learning.Pollution.Biogeography.Artificial Intelligence.Environmental Management.Machine Learning.Pollution.Biogeosciences.006.3Tiwari Shashi Kant1850121Fegade Atul1850122Kamal Mustafa1801402MiAaPQMiAaPQMiAaPQBOOK9911031670003321AI-Driven Environmental Pollution Management4443086UNINA