|
34111 |
Prediction of the Composition and Hardness of High-Entropy Alloys by Machine Learning
Enthalten in JOM Bd. 71, 30.7.2019, Nr. 10, date:10.2019: 3433-3442
|
|
|
|
34112 |
Prediction of the Composition of the Wide Light Hydrocarbon Fraction by Methods of Machine Learning in Pipeline Transportation
Enthalten in Optoelectronics, instrumentation and data processing Bd. 58, 8.7.2022, Nr. 1, date:2.2022: 85-90
|
|
|
|
34113 |
Prediction of the Consolidation Coefficient of Soft Soil Based on Machine Learning Models
Enthalten in Soil mechanics and foundation engineering Bd. 61, 30.7.2024, Nr. 3, date:7.2024: 223-229
|
|
|
|
34114 |
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
|
|
|
|
34115 |
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
|
|
|
|
34116 |
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
|
|
|
|
34117 |
Prediction of the Diagrams of Fatigue Fracture of D16T Aluminum Alloy by the Methods of Machine Learning
Enthalten in Materials science Bd. 54, 4.12.2018, Nr. 3, date:11.2018: 333-338
|
|
|
|
34118 |
Prediction of the Diameter of Biodegradable Electrospun Nanofiber Membranes: An Integrated Framework of Taguchi Design and Machine Learning
Enthalten in Journal of polymers and the environment Bd. 31, 28.4.2023, Nr. 9, date:9.2023: 4080-4096
|
|
|
|
34119 |
Prediction of the Dynamic Behavior of Beams in Similitude Using Machine Learning Methods
Enthalten in Aerotecnica missili & spazio Bd. 98, 14.11.2019, Nr. 4, date:12.2019: 283-291
|
|
|
|
34120 |
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
|
|
Administration
