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Ergebnis der Suche nach:
"Machine Learning"
im Bestand: Gesamter Bestand
34501 - 34510 von 42099
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34501
Machine learning-based model for prediction of optimum TMD parameters in time-domain history
Enthalten in Associação Brasileira de Engenharia e Ciências Mecânicas: Journal of the Brazilian Society of Mechanical Sciences and Engineering Bd. 46, 10.3.2024, Nr. 4, date:4.2024: 1-26
34502
Machine learning based model for the early detection of Gestational Diabetes Mellitus
Enthalten in BMC medical informatics and decision making Bd. 25, 13.3.2025, Nr. 1, date:12.2025: 1-15
34503
Machine learning-based model of surface tension of liquid metals: a step in designing multicomponent alloys for additive manufacturing
Enthalten in Journal of materials science Bd. 57, 15.7.2022, Nr. 28, date:7.2022: 13446-13466
34504
Machine learning-based model predicts causal association of ADRs
Enthalten in Reactions weekly Bd. 1908, 28.5.2022, Nr. 1, date:5.2022: 10
34505
Machine learning-based model to predict composite thromboembolic events among Chinese elderly patients with atrial fibrillation
Enthalten in BMC cardiovascular disorders Bd. 24, 13.8.2024, Nr. 1, date:12.2024: 1-9
34506
Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort
Enthalten in Scientific reports Bd. 14, 20.5.2024, Nr. 1, date:12.2024: 1-10
34507
Machine-learning-based modeling of coarse-scale error, with application to uncertainty quantification
Enthalten in Computational geosciences Bd. 22, 11.5.2018, Nr. 4, date:8.2018: 1093-1113
34508
Machine learning-based modeling of saturated hydraulic conductivity in soils of tropical semi-arid zone of India
Enthalten in Sādhāna Bd. 47, 25.1.2022, Nr. 1, date:3.2022: 1-15
34509
Machine learning-based modeling of surface water temperature dynamics in arctic lakes
Enthalten in Environmental science and pollution research Bd. 31, 3.10.2024, Nr. 49, date:10.2024: 59642-59655
34510
Machine learning-based modelling of zenith wet delay using terrestrial meteorological data in the Brazilian territory
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-3-2024, 2024: 13-19. 7 S.
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