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1611 |
Predictive modeling and strength optimization of sustainable concrete incorporating glass fiber and marble dust using machine learning techniques
Enthalten in Asian journal of civil engineering Bd. 26, 16.5.2025, Nr. 7, date:7.2025: 2781-2799
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1612 |
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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1613 |
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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1614 |
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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1615 |
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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1616 |
Predictive performance of nano-alumina and zeolite-based high-performance nano-engineered concrete: integrative application of quantum computing and machine learning with optimization techniques
Enthalten in Quantum machine intelligence Bd. 7, 3.10.2025, Nr. 2, date:12.2025: 1-26
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1617 |
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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1618 |
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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1619 |
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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1620 |
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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