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010   $a3-031-96243-5
024 7 $a10.1007/978-3-031-96243-1
035   $a(CKB)41520901900041
035   $a(MiAaPQ)EBC32323237
035   $a(Au-PeEL)EBL32323237
035   $a(DE-He213)978-3-031-96243-1
035   $a(OCoLC)1543124268
035   $a(EXLCZ)9941520901900041
100   $a20251001d2025      u|         0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAI-Driven Environmental Pollution Management /$fedited by Shashi Kant Tiwari, Atul Fegade, Mustafa Kamal
205   $a1st ed. 2025.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025.
215   $a1 online resource (392 pages)
225 1 $aClimate Risks and Solutions,$x3005-1673
311 08$a3-031-96242-7 
327   $aUnderstanding Environmental Pollution -- Advanced Monitoring Techniques -- Artificial Intelligence In Pollution Management -- Economic And Sustainable Solutions -- Technological Innovations For Sustainability -- Index.
330   $aThis book provides a comprehensive overview of the challenges caused by environmental pollution on a global scale, and delves into the intricate sources of air, water, and noise pollution. It discusses cutting-edge technologies such as IoT-based systems and AI integration for pollution detection and monitoring networks. With a focus on machine learning and deep learning models, the book provides insights into assessing, predicting, and mitigating the impact of pollution. Furthermore, it examines the implementation of AI-driven strategies for pollution control and reduction, alongside considerations for urban planning and sustainable infrastructure development. This indispensable resource navigates the social, policy, and economic implications of employing AI in environmental governance, emphasizing the importance of global cooperation for effective pollution management. The book will help readers to:1. Understand the adverse effect of environmental pollution in the era of new age. 2. Implement advanced management techniques that integrate sustainability into various environmental business economics.3. Explore effective environmental control and mitigation strategies using Internet of Things technologies and data analytics.4. Leverage AI/ML/DL for accurate environmental monitoring, modelling, prediction and decision-making.5. Navigate the complexities of Industry 4.0 to achieve sustainable development goals.
410  0$aClimate Risks and Solutions,$x3005-1673
606   $aArtificial intelligence
606   $aEnvironmental management
606   $aMachine learning
606   $aPollution
606   $aBiogeography
606   $aArtificial Intelligence
606   $aEnvironmental Management
606   $aMachine Learning
606   $aPollution
606   $aBiogeosciences
615  0$aArtificial intelligence.
615  0$aEnvironmental management.
615  0$aMachine learning.
615  0$aPollution.
615  0$aBiogeography.
615 14$aArtificial Intelligence.
615 24$aEnvironmental Management.
615 24$aMachine Learning.
615 24$aPollution.
615 24$aBiogeosciences.
676   $a006.3
700   $aTiwari$b Shashi Kant$01850121
701   $aFegade$b Atul$01850122
701   $aKamal$b Mustafa$01801402
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911031670003321
996   $aAI-Driven Environmental Pollution Management$94443086
997   $aUNINA