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Ergebnis der Suche nach: "Machine Learning"
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42381 - 42390 von 42847

	42381	Using Big Data-machine learning models for diabetes prediction and flight delays analytics Enthalten in Journal of Big Data Bd. 7, 17.9.2020, Nr. 1, date:12.2020: 1-18
	42382	USING BISPECTRAL FULL-WAVEFORM LIDAR TO MAP SEAMLESS COASTAL HABITATS IN 3D Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 463-470. 8 S.
	42383	Using blood routine indicators to establish a machine learning model for predicting liver fibrosis in patients with Schistosoma japonicum Enthalten in Scientific reports Bd. 14, 20.5.2024, Nr. 1, date:12.2024: 1-9
	42384	Using CT radiomic features based on machine learning models to subtype adrenal adenoma Enthalten in BMC cancer Bd. 23, 31.1.2023, Nr. 1, date:12.2023: 1-12
	42385	Using digital archaeology and machine learning to determine sex in finger flutings Enthalten in Scientific reports Bd. 15, 16.10.2025, Nr. 1, date:12.2025: 1-14
	42386	Using distributed ledger technology for digital forensic investigation purposes on tendering projects Enthalten in International journal of information technology Bd. 15, 9.3.2023, Nr. 3, date:3.2023: 1255-1274
	42387	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
	42388	Using experimental data in computationally guided rational design of inorganic materials with machine learning Enthalten in Journal of materials research Bd. 40, 8.4.2025, Nr. 6, date:3.2025: 833-848
	42389	Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity Enthalten in Scientific reports Bd. 14, 31.5.2024, Nr. 1, date:12.2024: 1-12
	42390	Using explainable machine learning to predict compressive strength of blended concrete: a data-driven metaheuristic approach Enthalten in Asian journal of civil engineering Bd. 25, 27.6.2023, Nr. 1, date:1.2024: 219-236