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Ergebnis der Suche nach:
"Machine Learning"
im Bestand: Gesamter Bestand
33141 - 33150 von 33403
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33141
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
33142
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
33143
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
33144
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
33145
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
33146
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
33147
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
33148
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
33149
Utilizing machine learning dimensionality reduction for risk stratification of chest pain patients in the emergency department
Enthalten in BMC medical research methodology Bd. 21, 17.4.2021, Nr. 1, date:12.2021: 1-13
33150
Utilizing machine learning for flow zone indicators prediction and hydraulic flow unit classification
Enthalten in Scientific reports Bd. 14, 20.2.2024, Nr. 1, date:12.2024: 1-29
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