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25911 |
Projecting COVID-19 disease severity in cancer patients using purposefully-designed machine learning
Enthalten in BMC infectious diseases Bd. 21, 4.5.2021, Nr. 1, date:12.2021: 1-8
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25912 |
Projecting the effect of climate change on multiple Geomorphological hazard using machine learning data driven approaches
Enthalten in Scientific reports Bd. 15, 26.5.2025, Nr. 1, date:12.2025: 1-14
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25913 |
Prolonging Aluminum Reduction Cell Life Using Machine Learning
Enthalten in Journal of sustainable metallurgy Bd. 11, 25.4.2025, Nr. 2, date:6.2025: 1822-1834
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25914 |
Promising directions of machine learning for partial differential equations
Enthalten in Nature computational science Bd. 4, 28.6.2024, Nr. 7, date:7.2024: 483-494
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25915 |
Promoting head CT exams in the emergency department triage using a machine learning model
Enthalten in Neuroradiology Bd. 62, 10.10.2019, Nr. 2, date:2.2020: 153-160
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25916 |
Prompt-based contrastive learning to combat the COVID-19 infodemic
Enthalten in Machine learning Bd. 114, 14.1.2025, Nr. 1, date:1.2025: 1-24
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25917 |
Promptly assessing probability of barge–bridge collision damage of piers through probabilistic-based classification of machine learning
Enthalten in Journal of civil structural health monitoring Bd. 7, 17.2.2017, Nr. 1, date:2.2017: 57-78
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25918 |
Proof of concept of the potential of a machine learning algorithm to extract new information from conventional SARS-CoV-2 rRT-PCR results
Enthalten in Scientific reports Bd. 13, 13.5.2023, Nr. 1, date:12.2023: 1-13
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25919 |
Proof of concept study on early forecasting of antimicrobial resistance in hospitalized patients using machine learning and simple bacterial ecology data
Enthalten in Scientific reports Bd. 14, 30.9.2024, Nr. 1, date:12.2024: 1-16
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25920 |
Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data
Enthalten in BMC bioinformatics Bd. 25, 4.1.2024, Nr. 1, date:12.2024: 1-24
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