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1231 |
Predicting of Sleep Behaviour in Smart Homes Based on Multi-residents Using Machine Learning Techniques
Enthalten in SN Computer Science Bd. 2, 29.4.2021, Nr. 4, date:7.2021: 1-7
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1232 |
Predicting particulate matter (PM2.5) air pollution levels in Almaty city using machine learning techniques
Enthalten in Modeling earth systems and environment Bd. 11, 28.4.2025, Nr. 4, date:8.2025: 1-15
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1233 |
Predicting preterm birth using machine learning techniques in oral microbiome
Enthalten in Scientific reports Bd. 13, 30.11.2023, Nr. 1, date:12.2023: 1-7
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1234 |
Predicting quetiapine dose in patients with depression using machine learning techniques based on real-world evidence
Enthalten in Annals of general psychiatry Bd. 23, 6.1.2024, Nr. 1, date:12.2024: 1-13
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1235 |
Predicting rapid kidney function decline in middle-aged and elderly Chinese adults using machine learning techniques
Enthalten in BMC medical informatics and decision making Bd. 25, 6.6.2025, Nr. 1, date:12.2025: 1-14
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1236 |
Predicting sediment deposition rate in check-dams using machine learning techniques and high-resolution DEMs
Enthalten in Environmental earth sciences Bd. 80, 14.5.2021, Nr. 10, date:5.2021: 1-19
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1237 |
Predicting soil cone index and assessing suitability for wind and solar farm development in using machine learning techniques
Enthalten in Scientific reports Bd. 14, 5.2.2024, Nr. 1, date:12.2024: 1-15
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1238 |
Predicting the antenna properties of helicon plasma thrusters using machine learning techniques
Enthalten in Journal of electric propulsion Bd. 3, 5.3.2024, Nr. 1, date:12.2024: 1-24
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1239 |
Predicting the compressive strength of unreinforced brick masonry using machine learning techniques validated on a case study of a museum through nondestructive testing
Enthalten in Journal of civil structural health monitoring Bd. 10, 6.3.2020, Nr. 3, date:7.2020: 389-403
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1240 |
Predicting the daily closing price of selected shares on the Dhaka Stock Exchange using machine learning techniques
Enthalten in SN business & economics Bd. 1, 24.3.2021, Nr. 4, date:4.2021: 1-16
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