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10981 |
Predicting the daily return direction of the stock market using hybrid machine learning algorithms
Enthalten in Financial innovation Bd. 5, 15.6.2019, Nr. 1, date:12.2019: 1-20
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10982 |
Predicting the drop out from the maternal, newborn and child healthcare continuum in three East African Community countries: application of machine learning models
Enthalten in BMC medical informatics and decision making Bd. 23, 25.9.2023, Nr. 1, date:12.2023: 1-10
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10983 |
Predicting the duration of motorway incidents using machine learning
Enthalten in European transport research review Bd. 16, 19.2.2024, Nr. 1, date:12.2024: 1-12
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10984 |
Predicting the effect of climate change on the spatiotemporal distribution of two endangered plant species, Silene leucophylla Boiss. and Silene schimperiana Boiss., using machine learning, in Saint Catherine Protected Area, Egypt
Enthalten in Ǧāmiʿat Banī-Suwaif: Beni-Suef University Journal of Basic and Applied Sciences Bd. 13, 30.9.2024, Nr. 1, date:12.2024: 1-23
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10985 |
Predicting the effects of winter water warming in artificial lakes on zooplankton and its environment using combined machine learning models
Enthalten in Scientific reports Bd. 12, 27.9.2022, Nr. 1, date:12.2022: 1-14
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10986 |
Predicting the efficacy of bevacizumab on peritumoral edema based on imaging features and machine learning
Enthalten in Scientific reports Bd. 15, 8.5.2025, Nr. 1, date:12.2025: 1-12
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10987 |
Predicting the efficiency of luminescent solar concentrators for solar energy harvesting using machine learning
Enthalten in Scientific reports Bd. 14, 20.2.2024, Nr. 1, date:12.2024: 1-10
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10988 |
PRedicting the EVolution of SubjectIvE Cognitive Decline to Alzheimer’s Disease With machine learning: the PREVIEW study protocol
Enthalten in BMC neurology Bd. 23, 12.8.2023, Nr. 1, date:12.2023: 1-13
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10989 |
Predicting the formation of fractionally doped perovskite oxides by a function-confined machine learning method
Enthalten in Communications materials Bd. 3, 6.7.2022, Nr. 1, date:12.2022: 1-10
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10990 |
Predicting the in-game status in soccer with machine learning using spatiotemporal player tracking data
Enthalten in Scientific reports Bd. 12, 29.9.2022, Nr. 1, date:12.2022: 1-10
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Administration
