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Ergebnis der Suche nach:
"Machine Learning"
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13691 - 13700 von 14040
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13691
Unlocking phonon properties of a large and diverse set of cubic crystals by indirect bottom-up machine learning approach
Enthalten in Communications materials Bd. 4, 15.8.2023, Nr. 1, date:12.2023: 1-11
13692
Unlocking potential biomarkers bridging coronary atherosclerosis and pyrimidine metabolism-associated genes through an integrated bioinformatics and machine learning approach
Enthalten in BMC cardiovascular disorders Bd. 24, 7.3.2024, Nr. 1, date:12.2024: 1-16
13693
Unlocking the complete blood count as a risk stratification tool for breast cancer using machine learning: a large scale retrospective study
Enthalten in Scientific reports Bd. 14, 12.5.2024, Nr. 1, date:12.2024: 1-10
13694
Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning
Enthalten in BMC medical informatics and decision making Bd. 25, 3.2.2025, Nr. 1, date:12.2025: 1-18
13695
Unlocking the potential of microRNAs: machine learning identifies key biomarkers for myocardial infarction diagnosis
Enthalten in Cardiovascular diabetology Bd. 22, 11.9.2023, Nr. 1, date:12.2023: 1-17
13696
Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media
Enthalten in Machine learning Bd. 114, 16.1.2025, Nr. 1, date:1.2025: 1-22
13697
Unraveling climate trends in the mediterranean: a hybrid machine learning and statistical approach
Enthalten in Modeling earth systems and environment Bd. 10, 6.8.2024, Nr. 5, date:10.2024: 6255-6277
13698
Unraveling Cordia myxa’s anti-malarial potential: integrative insights from network pharmacology, molecular modeling, and machine learning
Enthalten in BMC infectious diseases Bd. 24, 19.10.2024, Nr. 1, date:12.2024: 1-20
13699
Unraveling nonlinear effects of environment features on green view index using multiple data sources and explainable machine learning
Enthalten in Scientific reports Bd. 14, 4.12.2024, Nr. 1, date:12.2024: 1-18
13700
Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation
Enthalten in Journal of biological engineering Bd. 18, 26.7.2024, Nr. 1, date:12.2024: 1-24
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