Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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16291 - 16300 von 16527

	16291	Using an ensemble machine learning model to delineate groundwater potential zones in desert fringes of East Esna-Idfu area, Nile valley, Upper Egypt Enthalten in Geoscience Letters Bd. 10, 9.2.2023, Nr. 1, date:12.2023: 1-19
	16292	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
	16293	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.
	16294	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
	16295	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
	16296	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
	16297	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
	16298	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
	16299	USING GIS DATA AND MACHINE LEARNING FOR MINERAL MAPPING. STUDY CASE, BOU SKOUR EASTERN ANTI-ATLAS, MOROCCO Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W6-2022, 2023: 423-430. 8 S.
	16300	Using human brain activity to guide machine learning Enthalten in Scientific reports Bd. 8, 29.3.2018, Nr. 1, date:12.2018: 1-10