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26251 |
Preovulatory progesterone levels are the top indicator for ovulation prediction based on machine learning model evaluation: a retrospective study
Enthalten in Journal of ovarian research Bd. 17, 21.8.2024, Nr. 1, date:12.2024: 1-11
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26252 |
Preparing Tomorrow’s Physicians: The Case for Machine Learning in Medical Education
Enthalten in Journal of medical systems Bd. 49, 11.6.2025, Nr. 1, date:12.2025: 1-4
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26253 |
Presentation of machine learning methods to determine the most important factors affecting road traffic accidents on rural roads
Enthalten in Frontiers of structural and civil engineering Bd. 16, 30.7.2022, Nr. 5, date:5.2022: 657-666
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26254 |
Presenting a Hybrid Scheme of Machine Learning Combined with Metaheuristic Optimizers for Predicting Final Cost and Time of Project
Enthalten in Taehan-t'omok-hakhoe: KSCE journal of civil engineering Bd. 26, 3.6.2022, Nr. 8, date:8.2022: 3188-3203
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26255 |
Preservation effects evaluated using innovative models developed by machine learning on cucumber flesh
Enthalten in European food research and technology Bd. 248, 13.4.2022, Nr. 7, date:7.2022: 1929-1937
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26256 |
Preservative contact allergy in occupational dermatitis: a machine learning analysis
Enthalten in Archives of dermatological research Bd. 316, 8.6.2024, Nr. 7, date:9.2024: 1-12
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26257 |
Preserving Spatio-Temporal Information in Machine Learning: A Shift-Invariant k-Means Perspective
Enthalten in Journal of signal processing systems Bd. 94, 30.9.2022, Nr. 12, date:12.2022: 1471-1483
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26258 |
Pretherapy investigations using highly robust visualized biomarkers from CT imaging by multiple machine-learning techniques toward its prognosis prediction for ALK-inhibitor therapy in NSCLC: a feasibility study
Enthalten in Journal of cancer research and clinical oncology Bd. 149, 16.3.2023, Nr. 10, date:8.2023: 7341-7353
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26259 |
Pretrained U-Net: in-depth analysis of binary image segmentation in underwater marine environment
Enthalten in Machine learning for computational science and engineering Bd. 1, 23.10.2024, Nr. 1, date:6.2025: 1-13
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26260 |
Prevalence and predicting factors of perceived stress among Bangladeshi university students using machine learning algorithms
Enthalten in Journal of health, population and nutrition Bd. 40, 27.11.2021, Nr. 1, date:12.2021: 1-12
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