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Ergebnis der Suche nach: "Machine Learning"
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42821 - 42830 von 42855

	42821	Winning determinants between top and second division in Chinese professional football leagues: an interpretable machine learning approach Enthalten in BMC sports science, medicine & rehabilitation Bd. 17, 21.4.2025, Nr. 1, date:12.2025: 1-11
	42822	Wireless Personal Communications: Machine Learning for Big Data Processing in Mobile Internet Enthalten in Wireless personal communications Bd. 102, 30.8.2018, Nr. 3, date:10.2018: 2093-2098
	42823	Wireless Spatial Analysis-Based Predictive Analysis and Environmental Data Optimisation Using Machine Learning Model Enthalten in Remote sensing in earth systems sciences Bd. 7, 9.3.2024, Nr. 1, date:3.2024: 26-36
	42824	WISP2/CCN5 revealed as a potential diagnostic biomarker for endometriosis based on machine learning and single-cell transcriptomic analysis Enthalten in Functional & integrative genomics Bd. 25, 19.6.2025, Nr. 1, date:12.2025: 1-23
	42825	With or without human interference for precise age estimation based on machine learning? Enthalten in International journal of legal medicine Bd. 136, 14.2.2022, Nr. 3, date:5.2022: 821-831
	42826	With super SDMs (machine learning, open access big data, and the cloud) towards more holistic global squirrel hotspots and coldspots Enthalten in Scientific reports Bd. 14, 3.3.2024, Nr. 1, date:12.2024: 1-10
	42827	Women health issue: machine learning ensemble techniques to diagnosis breast cancer Enthalten in Health and Technology Bd. 15, 13.12.2024, Nr. 1, date:1.2025: 81-92
	42828	WOOD-LEAF UNSUPERVISED CLASSIFICATION OF SILVER BIRCH TREES FOR BIOMASS ASSESSMENT USING OBLIQUE POINT CLOUDS Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W2-2023, 2023: 1795-1802. 8 S.
	42829	Word Embeddings and Machine Learning Classifiers Applications for Automatic Detection of Suicide Tendencies in Social Media Enthalten in Programming and computer software Bd. 50, 12.1.2025, Nr. 8, date:12.2024: 612-620
	42830	WorMachine: machine learning-based phenotypic analysis tool for worms Enthalten in BMC biology Bd. 16, 16.1.2018, Nr. 1, date:12.2018: 1-11