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43671 |
Was wirklich bleibt: KI und deren praktische Anwendung
Enthalten in Digitale Welt Bd. 6, 15.9.2022, Nr. 4, date:10.2022: 52-55
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43672 |
Wasserstein-based fairness interpretability framework for machine learning models
Enthalten in Machine learning Bd. 111, 21.7.2022, Nr. 9, date:9.2022: 3307-3357
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43673 |
Waste Management using AI: Optimizing Sustainability through Innovation
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-5/W2-2025, 2025: 549-556. 8 S.
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43674 |
Wastewater treatment plant site selection using advanced decision tree machine learning and remote sensing techniques
Enthalten in Environmental science and pollution research Bd. 32, 16.12.2024, Nr. 1, date:1.2025: 234-247
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43675 |
Water jet angle prediction in supersonic crossflows: Euler–Lagrange and machine learning approaches
Enthalten in The European physical journal / Plus Bd. 139, 14.3.2024, Nr. 3, date:3.2024: 1-21
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43676 |
Water Quality Evaluation and Monitoring Model (WQEM) Using Machine Learning Techniques with IoT
Enthalten in Water resources Bd. 51, 19.11.2024, Nr. 6, date:12.2024: 1094-1110
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43677 |
Water quality index modelling and its application on artificial intelligence (AI) in conjunction with machine learning (ML) methodologies for mapping surface water potential zones for drinking activities
Enthalten in Discover civil engineering Bd. 2, 1.8.2025, Nr. 1, date:12.2025: 1-53
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43678 |
Water quality monitoring and management: integration of machine learning algorithms and Sentinel-2 images for the estimation of Chlorophyll-a
Enthalten in Modeling earth systems and environment Bd. 11, 19.7.2025, Nr. 5, date:10.2025: 1-26
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43679 |
Water quality parameters retrieval and nutrient status evaluation based on machine learning methods and Sentinel- 2 imagery: a case study of the Hongjiannao Lake
Enthalten in Environmental monitoring and assessment Bd. 197, 15.4.2025, Nr. 5, date:5.2025: 1-17
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43680 |
Water Quality Prediction Method Coupling Mechanism Model and Machine Learning for Water Diversion Projects with a Lack of Data
Enthalten in Water resources management Bd. 39, 24.3.2025, Nr. 7, date:5.2025: 3015-3030
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