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38611 |
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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38612 |
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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38613 |
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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38614 |
Water-saving control system based on multiple intelligent algorithms
Enthalten in Autonomous intelligent systems Bd. 4, 4.7.2024, Nr. 1, date:12.2024: 1-9
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38615 |
Watershed prioritization and decision-making based on weighted sum analysis, feature ranking, and machine learning techniques
Enthalten in Arabian journal of geosciences Bd. 16, 6.1.2023, Nr. 1, date:1.2023: 1-20
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38616 |
Wavelength-multiplexed hook nanoantennas for machine learning enabled mid-infrared spectroscopy
Enthalten in Nature Communications Bd. 13, 5.7.2022, Nr. 1, date:12.2022: 1-12
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38617 |
Wavelet scattering and scalogram visualization based human brain decoding using empirical wavelet transform
Enthalten in International journal of information technology Bd. 15, 9.3.2023, Nr. 3, date:3.2023: 1699-1708
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38618 |
Wavelet $$s$$ -Wasserstein distances for $$0 < s\leqslant\,1$$
Enthalten in Sampling theory, signal processing, and data analysis Bd. 23, 6.8.2025, Nr. 2, date:12.2025: 1-48
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38619 |
Ways forward for Machine Learning to make useful global environmental datasets from legacy observations and measurements
Enthalten in Nature Communications Bd. 13, 7.9.2022, Nr. 1, date:12.2022: 1-3
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38620 |
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
Enthalten in Nature machine intelligence Bd. 6, 25.9.2024, Nr. 10, date:10.2024: 1256-1269
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