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10911 |
Predicting game-induced emotions using EEG, data mining and machine learning
Enthalten in al- Markaz al-Qaumī li-'l-Buḥūṭ (al-Qāhira): Bulletin of the National Research Centre Bd. 48, 24.5.2024, Nr. 1, date:12.2024: 1-10
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10912 |
Predicting gene signature in breast cancer patients with multiple machine learning models
Enthalten in Discover oncology Bd. 15, 1.10.2024, Nr. 1, date:12.2024: 1-12
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10913 |
Predicting genes associated with RNA methylation pathways using machine learning
Enthalten in Communications biology Bd. 5, 25.8.2022, Nr. 1, date:12.2022: 1-10
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10914 |
Predicting genome-wide redundancy using machine learning
Enthalten in BMC evolutionary biology Bd. 10, 18.11.2010, Nr. 1, date:12.2010: 1-15
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10915 |
Predicting Gestational Diabetes Mellitus in the first trimester using machine learning algorithms: a cross-sectional study at a hospital fertility health center in Iran
Enthalten in BMC medical informatics and decision making Bd. 25, 3.1.2025, Nr. 1, date:12.2025: 1-11
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10916 |
Predicting glass structure by physics-informed machine learning
Enthalten in npj computational materials Bd. 8, 9.9.2022, Nr. 1, date:12.2022: 1-9
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10917 |
Predicting global patterns of long-term climate change from short-term simulations using machine learning
Enthalten in npj climate and atmospheric science Bd. 3, 19.11.2020, Nr. 1, date:12.2020: 1-9
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10918 |
Predicting graft and patient outcomes following kidney transplantation using interpretable machine learning models
Enthalten in Scientific reports Bd. 14, 29.7.2024, Nr. 1, date:12.2024: 1-8
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10919 |
Predicting graft failure in pediatric liver transplantation based on early biomarkers using machine learning models
Enthalten in Scientific reports Bd. 12, 27.12.2022, Nr. 1, date:12.2022: 1-10
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10920 |
Predicting grout’s uniaxial compressive strength (UCS) for fully grouted rock bolting system by applying ensemble machine learning techniques
Enthalten in Neural computing & applications Bd. 36, 26.7.2024, Nr. 29, date:10.2024: 18387-18412
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