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34121 |
Prediction of the Risk of Adverse Clinical Outcomes with Machine Learning Techniques in Patients with Noncommunicable Diseases
Enthalten in Journal of medical systems Bd. 49, 3.2.2025, Nr. 1, date:12.2025: 1-13
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34122 |
Prediction of the small molecule selectivity index against influenza virus strain A/H1N1 using machine learning methods
Enthalten in Russian chemical bulletin Bd. 74, 28.4.2025, Nr. 3, date:3.2025: 851-864
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34123 |
Prediction of the sound absorption performance for micro-perforated panel based on machine learning
Enthalten in Journal of engineering and applied science Bd. 72, 20.2.2025, Nr. 1, date:12.2025: 1-20
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34124 |
Prediction of the synergistic effect of antimicrobial peptides and antimicrobial agents via supervised machine learning
Enthalten in BMC biomedical engineering Bd. 6, 17.1.2024, Nr. 1, date:12.2024: 1-19
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34125 |
Prediction of the transient coolant jet released from the nose cone at supersonic flow via machine learning
Enthalten in Scientific reports Bd. 15, 28.1.2025, Nr. 1, date:12.2025: 1-10
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34126 |
Prediction of the treatment response and local failure of patients with brain metastasis treated with stereotactic radiosurgery using machine learning: A systematic review and meta-analysis
Enthalten in Neurosurgical review Bd. 47, 30.4.2024, Nr. 1, date:12.2024: 1-15
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34127 |
Prediction of the xanthine oxidase inhibitory activity of celery seed extract from ultraviolet–visible spectrum using machine learning algorithms
Enthalten in SN applied sciences Bd. 2, 29.9.2020, Nr. 10, date:10.2020: 1-12
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34128 |
Prediction of the groundwater quality index through machine learning in Western Middle Cheliff plain in North Algeria
Enthalten in Acta geophysica Bd. 70, 14.6.2022, Nr. 4, date:8.2022: 1797-1814
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34129 |
Prediction of thermal conductivity in CALF-20 with first-principles accuracy via machine learning interatomic potentials
Enthalten in Communications materials Bd. 6, 2.2.2025, Nr. 1, date:12.2025: 1-12
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34130 |
Prediction of Total Phosphorus Based on Distance Correlation and Machine Learning Methods—a Case Study of Dongjiang River, China
Enthalten in Water, air & soil pollution Bd. 235, 24.1.2024, Nr. 2, date:2.2024: 1-14
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