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Ergebnis der Suche nach: "Machine Learning"
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41321 - 41330 von 42330

	41321	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
	41322	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
	41323	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
	41324	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
	41325	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
	41326	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
	41327	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
	41328	The value of CCTA combined with machine learning for predicting angina pectoris in the anomalous origin of the right coronary artery Enthalten in Biomedical engineering online Bd. 23, 12.9.2024, Nr. 1, date:12.2024: 1-13
	41329	The value of intratumoral and peritumoral ultrasound radiomics model constructed using multiple machine learning algorithms for non-mass breast cancer Enthalten in Scientific reports Bd. 15, 6.6.2025, Nr. 1, date:12.2025: 1-14
	41330	The value of linear and non-linear quantitative EEG analysis in paediatric epilepsy surgery: a machine learning approach Enthalten in Scientific reports Bd. 14, 13.5.2024, Nr. 1, date:12.2024: 1-10