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Ergebnis der Suche nach:
"Machine Learning"
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32831 - 32840 von 33105
Datum (neuestes zuerst)
Datum (ältestes zuerst)
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Titel (Z-A)
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32831
Utilization of machine learning models in predicting caries risk groups and oral health-related risk factors in adults
Enthalten in BMC oral health Bd. 24, 8.4.2024, Nr. 1, date:12.2024: 1-19
32832
Utilization of machine learning to test the impact of cognitive processing and emotion recognition on the development of PTSD following trauma exposure
Enthalten in BMC psychiatry Bd. 20, 1.7.2020, Nr. 1, date:12.2020: 1-11
32833
Utilization of Natural Zeolite (Scolecite) to Reduce Arsenic Contamination of Water in Relation to Machine Learning Approach
Enthalten in Water, air & soil pollution Bd. 235, 5.2.2024, Nr. 2, date:2.2024: 1-17
32834
Utilization of non-invasive ventilation before prehospital emergency anesthesia in trauma – a cohort analysis with machine learning
Enthalten in Scandinavian journal of trauma, resuscitation and emergency medicine Bd. 33, 3.3.2025, Nr. 1, date:12.2025: 1-14
32835
Utilization of sequential model-based optimizer integrated machine learning models in correlation of famotidine solubility in supercritical carbon dioxide
Enthalten in Scientific reports Bd. 15, 10.10.2025, Nr. 1, date:12.2025: 1-14
32836
Utilization of tree-based machine learning models for predicting low birth weight cases
Enthalten in BMC pregnancy and childbirth Bd. 25, 26.2.2025, Nr. 1, date:12.2025: 1-32
32837
Utilizing a fusion of remote sensing data and machine learning models to forecast flood risks to agriculture in Hanoi City, Vietnam
Enthalten in Letters in spatial and resource sciences Bd. 17, 24.6.2024, Nr. 1, date:12.2024: 1-19
32838
Utilizing a publicly accessible automated machine learning platform to enable diagnosis before tumor surgery
Enthalten in Communications medicine Bd. 5, 8.10.2025, Nr. 1, date:12.2025: 1-7
32839
Utilizing contemporary machine learning techniques for determining soilcrete properties
Enthalten in Earth science informatics Bd. 18, 14.1.2025, Nr. 1, date:1.2025: 1-30
32840
Utilizing decision tree machine learning model to map dental students’ preferred learning styles with suitable instructional strategies
Enthalten in BMC medical education Bd. 24, 11.1.2024, Nr. 1, date:12.2024: 1-13
32831 - 32840 von 33105
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