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34401 |
Utilization of machine learning for the estimation of production rates in wells operated by electrical submersible pumps
Enthalten in Journal of petroleum exploration and production technology Bd. 14, 22.2.2024, Nr. 5, date:5.2024: 1205-1233
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34402 |
Utilization of machine learning models in predicting caries risk groups and oral health-related risk factors in adults
Enthalten in BMC oral health Bd. 24, 8.4.2024, Nr. 1, date:12.2024: 1-19
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34403 |
Utilization of machine learning to test the impact of cognitive processing and emotion recognition on the development of PTSD following trauma exposure
Enthalten in BMC psychiatry Bd. 20, 1.7.2020, Nr. 1, date:12.2020: 1-11
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34404 |
Utilization of Natural Zeolite (Scolecite) to Reduce Arsenic Contamination of Water in Relation to Machine Learning Approach
Enthalten in Water, air & soil pollution Bd. 235, 5.2.2024, Nr. 2, date:2.2024: 1-17
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34405 |
Utilization of non-invasive ventilation before prehospital emergency anesthesia in trauma – a cohort analysis with machine learning
Enthalten in Scandinavian journal of trauma, resuscitation and emergency medicine Bd. 33, 3.3.2025, Nr. 1, date:12.2025: 1-14
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34406 |
Utilization of tree-based machine learning models for predicting low birth weight cases
Enthalten in BMC pregnancy and childbirth Bd. 25, 26.2.2025, Nr. 1, date:12.2025: 1-32
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34407 |
Utilizing a fusion of remote sensing data and machine learning models to forecast flood risks to agriculture in Hanoi City, Vietnam
Enthalten in Letters in spatial and resource sciences Bd. 17, 24.6.2024, Nr. 1, date:12.2024: 1-19
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34408 |
Utilizing contemporary machine learning techniques for determining soilcrete properties
Enthalten in Earth science informatics Bd. 18, 14.1.2025, Nr. 1, date:1.2025: 1-30
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34409 |
Utilizing decision tree machine learning model to map dental students’ preferred learning styles with suitable instructional strategies
Enthalten in BMC medical education Bd. 24, 11.1.2024, Nr. 1, date:12.2024: 1-13
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34410 |
Utilizing graph Fourier transform for automatic Alzheimer’s disease detection from EEG signals
Enthalten in International journal of information technology Bd. 16, 27.1.2024, Nr. 3, date:3.2024: 1653-1659
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Administration
