|
1281 |
Predictive modeling of pregnancy outcomes utilizing multiple machine learning techniques for in vitro fertilization-embryo transfer
Enthalten in BMC pregnancy and childbirth Bd. 25, 19.3.2025, Nr. 1, date:12.2025: 1-13
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|
1282 |
Predictive modelling of MapReduce job performance in cloud environments using machine learning techniques
Enthalten in Journal of Big Data Bd. 11, 23.7.2024, Nr. 1, date:12.2024: 1-20
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|
|
|
1283 |
Predictive models and determinants of mortality among T2DM patients in a tertiary hospital in Ghana, how do machine learning techniques perform?
Enthalten in BMC endocrine disorders Bd. 25, 10.1.2025, Nr. 1, date:12.2025: 1-12
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|
1284 |
Predictive models for diabetes mellitus using machine learning techniques
Enthalten in BMC endocrine disorders Bd. 19, 15.10.2019, Nr. 1, date:12.2019: 1-9
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|
|
1285 |
Predictors of sleep quality among university students: the use of advanced machine learning techniques
Enthalten in Sleep and breathing Bd. 25, 23.7.2020, Nr. 2, date:6.2021: 1119-1126
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1286 |
Preoperative prediction of the need for arterial and central venous catheterization using machine learning techniques
Enthalten in Scientific reports Bd. 12, 13.7.2022, Nr. 1, date:12.2022: 1-9
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|
|
|
1287 |
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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|
1288 |
Probabilistic analysis of simply supported concrete beam using machine learning techniques: a comparative study
Enthalten in Asian journal of civil engineering Bd. 25, 27.3.2024, Nr. 5, date:7.2024: 3915-3928
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|
1289 |
Probabilistic Study of Liquefaction Response of Soil Based on Standard Penetration Test (SPT) Data Using Machine Learning Techniques
Enthalten in Transportation infrastructure geotechnology Bd. 12, 3.12.2024, Nr. 1, date:1.2025: 1-32
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|
1290 |
Prospects of non-resonant di-Higgs searches and Higgs boson self-coupling measurement at the HE-LHC using machine learning techniques
Enthalten in Journal of high energy physics Bd. 2020, 28.12.2020, Nr. 12, date:12.2020: 1-47
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