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25551 |
Predicting low ionospheric parameters and low frequency sky wave propagation strength using machine learning
Enthalten in Scientific reports Bd. 15, 3.2.2025, Nr. 1, date:12.2025: 1-16
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25552 |
Predicting lung cancer TNM staging from radiological reports using natural language processing and machine learning
Enthalten in Network modeling analysis in health informatics and bioinformatics Bd. 14, 13.6.2025, Nr. 1, date:12.2025: 1-17
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25553 |
Predicting macro-mechanical properties of loess from basic physical properties using various machine learning methods
Enthalten in Environmental earth sciences Bd. 84, 7.5.2025, Nr. 10, date:5.2025: 1-24
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25554 |
Predicting magnetic characteristics of additive manufactured soft magnetic composites by machine learning
Enthalten in The international journal of advanced manufacturing technology Bd. 114, 12.4.2021, Nr. 9-10, date:6.2021: 3177-3184
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25555 |
Predicting major adverse cardiac events in diabetes and chronic kidney disease: a machine learning study from the Silesia Diabetes-Heart Project
Enthalten in Cardiovascular diabetology Bd. 24, 15.2.2025, Nr. 1, date:12.2025: 1-12
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25556 |
Predicting maternal risk level using machine learning models
Enthalten in BMC pregnancy and childbirth Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-21
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25557 |
Predicting Maximum Surface Displacement from Mechanized Twin Tunnel Excavation in Seville Using Machine Learning and FLAC3D Simulation
Enthalten in Geotechnical and geological engineering Bd. 43, 3.1.2025, Nr. 2, date:2.2025: 1-27
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25558 |
Predicting maximum temperatures over India 10-days ahead using machine learning models
Enthalten in Scientific reports Bd. 13, 11.10.2023, Nr. 1, date:12.2023: 1-14
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25559 |
Predicting Mechanical Properties of Unidirectional Composites Using Machine Learning
Enthalten in Multiscale science and engineering Bd. 4, 20.10.2022, Nr. 4, date:12.2022: 202-210
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25560 |
Predicting medical waste generation and associated factors using machine learning in the Kingdom of Bahrain
Enthalten in Environmental science and pollution research Bd. 31, 27.5.2024, Nr. 26, date:6.2024: 38343-38357
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