|
25791 |
Prediction of measles patients using machine learning classifiers: a comparative study
Enthalten in al- Markaz al-Qaumī li-'l-Buḥūṭ (al-Qāhira): Bulletin of the National Research Centre Bd. 47, 26.7.2023, Nr. 1, date:12.2023: 1-11
|
|
|
|
25792 |
Prediction of mechanical behaviors of L-DED fabricated SS 316L parts via machine learning
Enthalten in The international journal of advanced manufacturing technology Bd. 121, 11.6.2022, Nr. 3-4, date:7.2022: 2445-2459
|
|
|
|
25793 |
Prediction of mechanical properties of eco-friendly concrete using machine learning algorithms and partial dependence plot analysis
Enthalten in Smart construction and sustainable cities Bd. 3, 27.1.2025, Nr. 1, date:12.2025: 1-21
|
|
|
|
25794 |
Prediction of Mechanical Properties of High-Entropy Carbide (Ti0.2Zr0.2Hf0.2Nb0.2Ta0.2)C with the Use of Machine Learning Potential
Enthalten in Doklady physical chemistry Bd. 514, 13.4.2024, Nr. 1, date:1.2024: 9-14
|
|
|
|
25795 |
Prediction of Mechanical Properties of Steel Tubes Using a Machine Learning Approach
Enthalten in Journal of materials engineering and performance Bd. 30, 5.1.2021, Nr. 1, date:1.2021: 434-443
|
|
|
|
25796 |
Prediction of Mechanical Properties of Wrought Aluminium Alloys Using Feature Engineering Assisted Machine Learning Approach
Enthalten in Metallurgical and materials transactions / A / Physical metallurgy and materials science Bd. 52, 26.4.2021, Nr. 7, date:7.2021: 2873-2884
|
|
|
|
25797 |
Prediction of medical device performance using machine learning techniques: infant incubator case study
Enthalten in Health and Technology Bd. 10, 26.10.2019, Nr. 1, date:1.2020: 151-155
|
|
|
|
25798 |
Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea
Enthalten in BMC public health Bd. 22, 6.4.2022, Nr. 1, date:12.2022: 1-10
|
|
|
|
25799 |
Prediction of metabolic syndrome using machine learning approaches based on genetic and nutritional factors: a 14-year prospective-based cohort study
Enthalten in BMC medical genomics Bd. 17, 4.9.2024, Nr. 1, date:12.2024: 1-14
|
|
|
|
25800 |
Prediction of microvascular obstruction from angio-based microvascular resistance and available clinical data in percutaneous coronary intervention: an explainable machine learning model
Enthalten in Scientific reports Bd. 15, 24.1.2025, Nr. 1, date:12.2025: 1-10
|
|
Administration
