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Ergebnis der Suche nach: "Machine Learning"
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41321 - 41330 von 42333

	41321	The Use of Machine Learning for Predicting Complications of Free Flap Head and Neck Reconstruction: Caution Needed Enthalten in Annals of surgical oncology Bd. 30, 30.3.2023, Nr. 7, date:7.2023: 4232-4233
	41322	The use of machine learning in process–structure–property modeling for material extrusion additive manufacturing: a state-of-the-art review Enthalten in Associação Brasileira de Engenharia e Ciências Mecânicas: Journal of the Brazilian Society of Mechanical Sciences and Engineering Bd. 46, 11.1.2024, Nr. 2, date:2.2024: 1-24
	41323	The use of machine learning in rare diseases: a scoping review Enthalten in Orphanet journal of rare diseases Bd. 15, 9.6.2020, Nr. 1, date:12.2020: 1-10
	41324	The Use of Machine Learning in the Analytical Control of the Preparations of Medicinal Plants Enthalten in Inorganic materials Bd. 55, 25.2.2020, Nr. 14, date:12.2019: 1428-1438
	41325	The use of machine learning methods in classification of pumpkin seeds (Cucurbita pepo L.) Enthalten in Genetic resources and crop evolution Bd. 68, 25.6.2021, Nr. 7, date:10.2021: 2713-2726
	41326	The use of machine learning modeling, virtual screening, molecular docking, and molecular dynamics simulations to identify potential VEGFR2 kinase inhibitors Enthalten in Scientific reports Bd. 12, 5.11.2022, Nr. 1, date:12.2022: 1-14
	41327	The use of machine learning to predict acute hepatopancreatic necrosis disease (AHPND) in shrimp farmed on the east coast of the Mekong Delta of Vietnam Enthalten in Fisheries science Bd. 86, 6.5.2020, Nr. 4, date:7.2020: 673-683
	41328	The use of machine learning to predict the effects of cryoprotective agents on the GelMA-based bioinks used in extrusion cryobioprinting Enthalten in Bio-design and manufacturing Bd. 6, 14.6.2023, Nr. 4, date:7.2023: 464-477
	41329	The use of Multispectral Radio-Meter (MSR5) data for wheat crop genotypes identification using machine learning models Enthalten in Scientific reports Bd. 13, 14.11.2023, Nr. 1, date:12.2023: 1-15
	41330	The Utility of Machine Learning Models for Predicting Chemical Contaminants in Drinking Water: Promise, Challenges, and Opportunities Enthalten in Current environmental health reports Bd. 10, 17.12.2022, Nr. 1, date:3.2023: 45-60