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	1481	Unraveling the mechanisms underlying drug-induced cholestatic liver injury: identifying key genes using machine learning techniques on human in vitro data sets Enthalten in Archives of toxicology Bd. 97, 21.8.2023, Nr. 11, date:11.2023: 2969-2981
	1482	Unravelling rainfall trends: A comprehensive study of urban precipitation using innovative statistical and machine learning techniques in major cities of India Enthalten in Journal of earth system science Bd. 134, 23.7.2025, Nr. 3, date:9.2025: 1-11
	1483	Unveiling the Cutting Edge: A Comprehensive Survey of Localization Techniques in WSN, Leveraging Optimization and Machine Learning Approaches Enthalten in Wireless personal communications Bd. 132, 29.9.2023, Nr. 4, date:10.2023: 2293-2362
	1484	Use of machine learning techniques for identifying ischemic stroke instead of the rule-based methods: a nationwide population-based study Enthalten in European journal of medical research Bd. 29, 3.1.2024, Nr. 1, date:12.2024: 1-9
	1485	Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa Enthalten in BMC medical research methodology Bd. 21, 31.7.2021, Nr. 1, date:12.2021: 1-11
	1486	USE OF MULTIVARIATE MACHINE LEARNING ANALYSIS TECHNIQUES FOR FLOOD RISK PREVENTION Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLII-3/W4, 2018: 549-554
	1487	Using edge detection techniques and machine learning classifications for accurate lithological discrimination and structure lineaments extraction: a comparative case study from Gattar area, Northern Eastern Desert of Egypt Enthalten in Arabian journal of geosciences Bd. 16, 26.10.2023, Nr. 11, date:11.2023: 1-25
	1488	Using Machine Learning Techniques for Rainfall Estimation Based on Microwave Links of Mobile Telecommunication Networks Enthalten in SN Computer Science Bd. 4, 9.11.2022, Nr. 1, date:1.2023: 1-17
	1489	Using machine learning techniques for rationalising phenotypic readouts from a rat sleeping model Enthalten in Journal of cheminformatics Bd. 5, 22.3.2013, Nr. 1, date:3.2013: 1
	1490	Using machine learning techniques for the classification of ultra-low concentrations of cannabis in biological fluids Enthalten in Neural computing & applications Bd. 36, 7.8.2024, Nr. 31, date:11.2024: 19691-19705

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