|
15641 |
Rheological Behavior of SAE50 Oil–SnO2–CeO2 Hybrid Nanofluid: Experimental Investigation and Modeling Utilizing Response Surface Method and Machine Learning Techniques
Enthalten in Nanoscale research letters Bd. 17, 8.12.2022, Nr. 1, date:12.2022: 1-22
|
|
|
|
15642 |
Rhesus infant nervous temperament predicts peri-adolescent central amygdala metabolism & behavioral inhibition measured by a machine-learning approach
Enthalten in Translational Psychiatry Bd. 14, 15.3.2024, Nr. 1, date:12.2024: 1-11
|
|
|
|
15643 |
Rice plant disease diagnosing using machine learning techniques: a comprehensive review
Enthalten in SN applied sciences Bd. 4, 20.10.2022, Nr. 11, date:11.2022: 1-13
|
|
|
|
15644 |
Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models
Enthalten in Scientific reports Bd. 14, 17.9.2024, Nr. 1, date:12.2024: 1-17
|
|
|
|
15645 |
Riesgo de caídas en pacientes operados por fractura de fémur proximal sobre el año de cirugía
Enthalten in Revista chilena de ortopedia y traumatología Bd. 64, 2023, Nr. 02: e69-e75
|
|
|
|
15646 |
Risk assessment and prediction of nosocomial infections based on surveillance data using machine learning methods
Enthalten in BMC public health Bd. 24, 4.7.2024, Nr. 1, date:12.2024: 1-9
|
|
|
|
15647 |
Risk assessment of imported malaria in China: a machine learning perspective
Enthalten in BMC public health Bd. 24, 20.3.2024, Nr. 1, date:12.2024: 1-12
|
|
|
|
15648 |
Risk factor assessment of prediabetes and diabetes based on epidemic characteristics in new urban areas: a retrospective and a machine learning study
Enthalten in Scientific reports Bd. 15, 30.1.2025, Nr. 1, date:12.2025: 1-10
|
|
|
|
15649 |
Risk factor mining and prediction of urine protein progression in chronic kidney disease: a machine learning- based study
Enthalten in BMC medical informatics and decision making Bd. 23, 31.8.2023, Nr. 1, date:12.2023: 1-17
|
|
|
|
15650 |
Risk factors affecting patients survival with colorectal cancer in Morocco: survival analysis using an interpretable machine learning approach
Enthalten in Scientific reports Bd. 14, 12.2.2024, Nr. 1, date:12.2024: 1-13
|
|
Administration
