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Ergebnis der Suche nach:
"Machine Learning"
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13681 - 13690 von 14030
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13681
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
13682
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
13683
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
13684
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
13685
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
13686
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
13687
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
13688
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
13689
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
13690
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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