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26111 |
Prediction of properties of friction stir spot welded joints of AA7075-T651/Ti-6Al-4V alloy using machine learning algorithms
Enthalten in Archives of civil and mechanical engineering Bd. 22, 21.3.2022, Nr. 2, date:5.2022: 1-19
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26112 |
Prediction of prostate biopsy outcomes at different cut-offs of prostate-specific antigen using machine learning: a multicenter study
Enthalten in Egyptian National Cancer Institute (al-Qāhira): Journal of the Egyptian National Cancer Institute Bd. 37, 17.3.2025, Nr. 1, date:12.2025: 1-8
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26113 |
Prediction of protein–ligand binding affinity from sequencing data with interpretable machine learning
Enthalten in Nature biotechnology Bd. 40, 23.5.2022, Nr. 10, date:10.2022: 1520-1527
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26114 |
Prediction of Protein–Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures
Enthalten in The journal of membrane biology Bd. 249, 12.11.2015, Nr. 1-2, date:4.2016: 141-153
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26115 |
Prediction of Pseudoprogression versus Progression using Machine Learning Algorithm in Glioblastoma
Enthalten in Scientific reports Bd. 8, 21.8.2018, Nr. 1, date:12.2018: 1-9
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26116 |
Prediction of Pt, Ir, Ru, and Rh complexes light absorption in the therapeutic window for phototherapy using machine learning
Enthalten in Journal of cheminformatics Bd. 17, 5.1.2025, Nr. 1, date:12.2025: 1-13
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26117 |
Prediction of pulmonary embolism by an explainable machine learning approach in the real world
Enthalten in Scientific reports Bd. 15, 4.1.2025, Nr. 1, date:12.2025: 1-8
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26118 |
Prediction of pulmonary pressure after Glenn shunts by computed tomography–based machine learning models
Enthalten in European radiology Bd. 30, 8.11.2019, Nr. 3, date:3.2020: 1369-1377
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26119 |
Prediction of quality of life in schizophrenia using machine learning models on data from Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) schizophrenia trial
Enthalten in Schizophrenia Bd. 8, 21.3.2022, Nr. 1, date:12.2022: 1-9
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26120 |
Prediction of Rail Contact Fatigue on Crossings Using Image Processing and Machine Learning Methods
Enthalten in Urban rail transit Bd. 5, 4.6.2019, Nr. 2, date:6.2019: 123-132
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