|
25661 |
Predicting the stereoselectivity of chemical reactions by composite machine learning method
Enthalten in Scientific reports Bd. 14, 27.5.2024, Nr. 1, date:12.2024: 1-12
|
|
|
|
25662 |
Predicting the strength of alkali-activated masonry blocks using machine learning models: geopolymer mortar with quarry waste, rice husk ash, and eggshell ash
Enthalten in Journal of building pathology and rehabilitation Bd. 10, 28.1.2025, Nr. 1, date:6.2025: 1-25
|
|
|
|
25663 |
Predicting the success of startups using a machine learning approach
Enthalten in Journal of innovation and entrepreneurship Bd. 13, 28.10.2024, Nr. 1, date:12.2024: 1-27
|
|
|
|
25664 |
Predicting the targets of IRF8 and NFATc1 during osteoclast differentiation using the machine learning method framework cTAP
Enthalten in BMC genomics Bd. 23, 7.1.2022, Nr. 1, date:12.2022: 1-18
|
|
|
|
25665 |
Predicting the time to get back to work using statistical models and machine learning approaches
Enthalten in BMC medical research methodology Bd. 24, 29.11.2024, Nr. 1, date:12.2024: 1-8
|
|
|
|
25666 |
Predicting the ultimate tensile strength of AISI 1045 steel and 2017-T4 aluminum alloy joints in a laser-assisted rotary friction welding process using machine learning: a comparison with response surface methodology
Enthalten in The international journal of advanced manufacturing technology Bd. 116, 30.6.2021, Nr. 3-4, date:9.2021: 1247-1257
|
|
|
|
25667 |
Predicting the value of football players: machine learning techniques and sensitivity analysis based on FIFA and real-world statistical datasets
Enthalten in Applied intelligence Bd. 55, 4.1.2025, Nr. 4, date:2.2025: 1-26
|
|
|
|
25668 |
Predicting the Viscosity of CaF2-Based Slag and Reverse Design of Electroslag Systems Using Explainable Machine Learning
Enthalten in Metallurgical and materials transactions / B / Process metallurgy and materials processing science Bd. 56, 14.4.2025, Nr. 3, date:6.2025: 3125-3139
|
|
|
|
25669 |
Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability
Enthalten in Scientific reports Bd. 15, 8.3.2025, Nr. 1, date:12.2025: 1-22
|
|
|
|
25670 |
Predicting thermal conductivity of granite subjected to high temperature using machine learning techniques
Enthalten in Environmental earth sciences Bd. 84, 15.4.2025, Nr. 8, date:4.2025: 1-18
|
|
Administration
