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"Machine Learning"
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38581 - 38590 von 38814
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38581
Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to purine metabolism-associated genes
Enthalten in Scientific reports Bd. 15, 2.1.2025, Nr. 1, date:12.2025: 1-18
38582
Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI)
Enthalten in BMC psychiatry Bd. 25, 18.3.2025, Nr. 1, date:12.2025: 1-12
38583
Utilizing machine learning algorithms for predicting risk factors for bone metastasis from right-sided colon carcinoma after complete mesocolic excision: a 10-year retrospective multicenter study
Enthalten in Discover oncology Bd. 15, 19.9.2024, Nr. 1, date:12.2024: 1-16
38584
Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks
Enthalten in BMC medical informatics and decision making Bd. 22, 9.11.2022, Nr. 1, date:12.2022: 1-16
38585
Utilizing Machine Learning and DSAS to Analyze Historical Trends and Forecast Future Shoreline Changes Along the River Niger, Niger Delta
Enthalten in Water conservation science and engineering Bd. 9, 10.12.2024, Nr. 2, date:12.2024: 1-21
38586
Utilizing machine learning and molecular dynamics for enhanced drug delivery in nanoparticle systems
Enthalten in Scientific reports Bd. 14, 4.11.2024, Nr. 1, date:12.2024: 1-17
38587
Utilizing machine learning approaches to investigate the relationship between cystatin C and serious complications in esophageal cancer patients after esophagectomy
Enthalten in Supportive care in cancer Bd. 33, 16.12.2024, Nr. 1, date:1.2025: 1-14
38588
Utilizing machine learning approaches within concrete technology offers an intelligent perspective towards sustainability in the construction industry: a comprehensive review
Enthalten in Multiscale and multidisciplinary modeling, experiments and design Bd. 8, 26.10.2024, Nr. 1, date:1.2025: 1-24
38589
Utilizing Machine Learning-based Classification Models for Tracking Air Pollution Sources: A Case Study in Korea
Enthalten in Aerosol and Air Quality Research Bd. 24, 17.5.2024, Nr. 7, date:7.2024: 1-11
38590
Utilizing machine learning-based QSAR model to overcome standalone consensus docking limitation in beta-lactamase inhibitors screening: a proof-of-concept study
Enthalten in BMC chemistry Bd. 18, 20.12.2024, Nr. 1, date:12.2024: 1-16
38581 - 38590 von 38814
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