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27991 |
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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27992 |
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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27993 |
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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27994 |
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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27995 |
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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27996 |
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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27997 |
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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27998 |
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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27999 |
WeaponVision AI: a software for strengthening surveillance through deep learning in real-time automated weapon detection
Enthalten in International journal of information technology Bd. 17, 3.1.2025, Nr. 3, date:4.2025: 1717-1727
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28000 |
Wear Performance Prediction of MWCNT-Reinforced AZ31 Composite Using Machine Learning Technique
Enthalten in Journal of bio- and tribo-corrosion Bd. 9, 3.3.2023, Nr. 2, date:6.2023: 1-13
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