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Ergebnis der Suche nach: "Machine Learning"
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39121 - 39130 von 39234

	39121	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
	39122	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
	39123	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
	39124	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
	39125	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
	39126	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
	39127	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
	39128	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
	39129	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
	39130	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