LEADER 04338nam 22005773 450 001 9911020213203321 005 20250225080317.0 010 $a9781394270392 010 $a1394270399 010 $a9781394270378 010 $a1394270372 010 $a9781394270385 010 $a1394270380 035 $a(CKB)37529492100041 035 $a(MiAaPQ)EBC31907281 035 $a(Au-PeEL)EBL31907281 035 $a(OCoLC)1500135867 035 $a(Perlego)4893422 035 $a(Exl-AI)31907281 035 $a(EXLCZ)9937529492100041 100 $a20250225d2025 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEnvironmental Monitoring Using Artificial Intelligence 205 $a1st ed. 210 1$aNewark :$cJohn Wiley & Sons, Incorporated,$d2025. 210 4$dİ2025. 215 $a1 online resource (423 pages) 311 08$a9781394270361 311 08$a1394270364 327 $aCover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Transformative Trends in AI for Environmental Monitoring: Challenges, Applications -- 1.1 Introduction -- 1.2 Literature Verticals -- 1.3 Key Methodologies in Literature Review -- 1.4 Most Common Methods in Environmental Monitoring -- 1.5 AI Architectures for Environmental Monitoring -- 1.6 Applications of AI in Environmental Monitoring -- 1.7 Challenges and Limitations of Using AI in Environment Modeling -- 1.8 Future Directions -- 1.9 Conclusion -- Acknowledgements -- References -- Chapter 2 Fundamentals of AI and NLP in Environmental Analysis -- 2.1 Introduction -- 2.2 AI and NLP Techniques -- 2.2.1 Artificial Neural Network (ANN) -- 2.2.2 Support Vector Machine (SVM) -- 2.2.3 Linear Regression (LR) -- 2.2.4 Random Forests (RF) and Decision Trees (DT) -- 2.2.5 Adaptive Neuro-Fuzzy Inference System (ANFIS) -- 2.2.6 Batch-Normalization (BN) -- 2.2.7 Convolutional Neural Networks (CNNs) -- 2.2.8 Deep Neural Networks (DNNs) -- 2.2.9 Genetic Algorithm (GA)$7Generated by AI. 330 8 $aEnvironmental Monitoring Using Artificial Intelligence is a vital resource for anyone looking to leverage cutting-edge technologies in artificial intelligence and sensor systems to effectively address environmental challenges, offering innovative solutions and insights essential for creating a sustainable future. Environmental Monitoring Using Artificial Intelligence provides a comprehensive exploration of the cutting-edge technologies transforming environmental monitoring. This book bridges the gap between artificial intelligence (AI), natural language processing (NLP), and sensor-based systems, highlighting their potential to revolutionize the way we address pressing environmental challenges. Each chapter presents innovative case studies, real-world applications, and the latest research on how these technologies are being utilized to monitor and manage ecosystems, water resources, air quality, and urban sustainability. From advanced sensor networks to machine learning models, this book covers a broad spectrum of topics, including smart water solutions, biodiversity conservation, waste management, and agricultural sustainability. It offers an interdisciplinary approach, making it an essential resource for environmental engineers, data scientists, researchers, and policymakers. Whether you're exploring smart city innovations, renewable energy monitoring, or AI-driven solutions for environmental protection, Environmental Monitoring Using Artificial Intelligence equips readers with the knowledge and tools to leverage technology for a sustainable future. 606 $aArtificial intelligence$7Generated by AI 606 $aEnvironmental monitoring$7Generated by AI 615 0$aArtificial intelligence 615 0$aEnvironmental monitoring 676 $a363.7063028563 700 $aSuresh$b A$01406426 701 $aDevi$b T$01838135 701 $aDeepa$b N$01838136 701 $aBashir$b Ali Kashif$01762152 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911020213203321 996 $aEnvironmental Monitoring Using Artificial Intelligence$94417054 997 $aUNINA