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26071 |
Prediction of lung tumor types based on protein attributes by machine learning algorithms
Enthalten in SpringerPlus Bd. 2, 24.5.2013, Nr. 1, date:12.2013: 1-14
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26072 |
Prediction of malignant lymph nodes in NSCLC by machine-learning classifiers using EBUS-TBNA and PET/CT
Enthalten in Scientific reports Bd. 12, 20.10.2022, Nr. 1, date:12.2022: 1-13
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26073 |
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
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26074 |
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
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26075 |
Prediction of Mechanical Properties in Friction Stir Welded Al6061 Alloys Using Machine Learning Algorithms
Enthalten in Indian Institute of Metals: Transactions of the Indian Institute of Metals Bd. 78, 9.5.2025, Nr. 6, date:6.2025: 1-11
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26076 |
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
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26077 |
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
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26078 |
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
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26079 |
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
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26080 |
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
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