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25641 |
Predicting the cooling and heating loads of energy efficient buildings: a hybrid machine learning approach
Enthalten in Cluster computing Bd. 28, 28.4.2025, Nr. 5, date:10.2025: 1-18
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25642 |
Predicting the crystalline phase generation effectively in monosized granular matter using machine learning
Enthalten in Granular matter Bd. 24, 1.12.2021, Nr. 1, date:2.2022: 1-13
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25643 |
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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25644 |
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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25645 |
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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25646 |
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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25647 |
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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25648 |
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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25649 |
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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25650 |
Predicting the efficiency of bare silica-based nano-fluid flooding in sandstone reservoirs for enhanced oil recovery through machine learning techniques using experimental data
Enthalten in Applied nanoscience Bd. 12, 1.7.2022, Nr. 8, date:8.2022: 2367-2377
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