|
11131 |
Prediction of tablet disintegration time based on formulations properties via artificial intelligence by comparing machine learning models and validation
Enthalten in Scientific reports Bd. 15, 21.4.2025, Nr. 1, date:12.2025: 1-11
|
|
|
|
11132 |
Prediction of the acceptance of telemedicine among rheumatic patients: a machine learning-powered secondary analysis of German survey data
Enthalten in Rheumatology international Bd. 44, 11.1.2024, Nr. 3, date:3.2024: 523-534
|
|
|
|
11133 |
Prediction of the axial compression capacity of ECC-CES columns using adaptive sampling and machine learning techniques
Enthalten in Scientific reports Bd. 15, 4.2.2025, Nr. 1, date:12.2025: 1-18
|
|
|
|
11134 |
Prediction of the axial compression capacity of stub CFST columns using machine learning techniques
Enthalten in Scientific reports Bd. 14, 5.2.2024, Nr. 1, date:12.2024: 1-14
|
|
|
|
11135 |
Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques
Enthalten in Neural computing & applications Bd. 33, 20.7.2021, Nr. 24, date:12.2021: 17131-17145
|
|
|
|
11136 |
Prediction of the Cu oxidation state from EELS and XAS spectra using supervised machine learning
Enthalten in npj computational materials Bd. 10, 17.9.2024, Nr. 1, date:12.2024: 1-10
|
|
|
|
11137 |
Prediction of the development of acute kidney injury following cardiac surgery by machine learning
Enthalten in Critical care Bd. 24, 31.7.2020, Nr. 1, date:12.2020: 1-13
|
|
|
|
11138 |
Prediction of the effects of small molecules on the gut microbiome using machine learning method integrating with optimal molecular features
Enthalten in BMC bioinformatics Bd. 24, 12.9.2023, Nr. 1, date:12.2023: 1-16
|
|
|
|
11139 |
Prediction of the Extent of Blood–Brain Barrier Transport Using Machine Learning and Integration into the LeiCNS-PK3.0 Model
Enthalten in Pharmaceutical research Bd. 42, 10.2.2025, Nr. 2, date:2.2025: 281-289
|
|
|
|
11140 |
Prediction of the fatigue curve of high-strength steel resistance spot welding joints by finite element analysis and machine learning
Enthalten in The international journal of advanced manufacturing technology Bd. 128, 11.8.2023, Nr. 5-6, date:9.2023: 2763-2779
|
|
Administration
