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26491 |
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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26492 |
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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26493 |
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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26494 |
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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26495 |
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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26496 |
Prophylactic and therapeutic measures for emerging and re-emerging viruses: artificial intelligence and machine learning - the key to a promising future
Enthalten in Health and Technology Bd. 14, 24.1.2024, Nr. 2, date:3.2024: 251-261
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26497 |
Proportion-based normalizations outperform compositional data transformations in machine learning applications
Enthalten in Microbiome Bd. 12, 5.3.2024, Nr. 1, date:12.2024: 1-13
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26498 |
Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique
Enthalten in Scientific reports Bd. 14, 6.2.2024, Nr. 1, date:12.2024: 1-18
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26499 |
Proposal and evaluation of tsunami disaster drill support system using tablet computer
Enthalten in International journal of information technology Bd. 15, 13.9.2023, Nr. 8, date:12.2023: 4029-4039
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26500 |
Proposal of a new equation for estimating resting energy expenditure of acute kidney injury patients on dialysis: a machine learning approach
Enthalten in Nutrition & metabolism Bd. 17, 17.11.2020, Nr. 1, date:12.2020: 1-8
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