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25611 |
Predicting salinity levels in the Mekong delta (Viet Nam): analysis of machine learning and deep learning models
Enthalten in Discover artificial intelligence Bd. 5, 29.5.2025, Nr. 1, date:12.2025: 1-35
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25612 |
Predicting saturated hydraulic conductivity from particle size distributions using machine learning
Enthalten in Stochastic environmental research and risk assessment Bd. 39, 19.1.2025, Nr. 2, date:2.2025: 423-435
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25613 |
Predicting science achievement scores with machine learning algorithms: a case study of OECD PISA 2015–2018 data
Enthalten in Neural computing & applications Bd. 35, 3.8.2023, Nr. 28, date:10.2023: 21201-21228
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25614 |
Predicting Scrap Steel Prices Through Machine Learning for South China
Enthalten in Materials circular economy Bd. 7, 6.1.2025, Nr. 1, date:12.2025: 1-16
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25615 |
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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25616 |
Predicting seizure onset zones from interictal intracranial EEG using functional connectivity and machine learning
Enthalten in Scientific reports Bd. 15, 22.5.2025, Nr. 1, date:12.2025: 1-15
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25617 |
Predicting self-perceived general health status using machine learning: an external exposome study
Enthalten in BMC public health Bd. 23, 31.5.2023, Nr. 1, date:12.2023: 1-17
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25618 |
Predicting sensitive information leakage in IoT applications using flows-aware machine learning approach
Enthalten in Empirical software engineering Bd. 27, 23.7.2022, Nr. 6, date:11.2022: 1-51
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25619 |
Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers
Enthalten in European journal of medical research Bd. 29, 6.3.2024, Nr. 1, date:12.2024: 1-15
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25620 |
Predicting sepsis onset in ICU using machine learning models: a systematic review and meta-analysis
Enthalten in BMC infectious diseases Bd. 23, 27.9.2023, Nr. 1, date:12.2023: 1-21
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