Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: "Machine Learning"
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33221 - 33230 von 33487

	33221	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
	33222	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
	33223	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
	33224	Utilizing machine learning algorithms to improve predictions of groundwater quality indices for irrigation in an arid environment of Saudi Arabia Enthalten in Environmental earth sciences Bd. 84, 27.6.2025, Nr. 13, date:7.2025: 1-29
	33225	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
	33226	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
	33227	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
	33228	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
	33229	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
	33230	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

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