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26491 |
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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26492 |
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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26493 |
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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26494 |
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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26495 |
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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26496 |
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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26497 |
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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26498 |
Proposed numerical and machine learning models for fiber-reinforced polymer concrete-steel hollow and solid elliptical columns
Enthalten in Frontiers of structural and civil engineering Bd. 18, 26.7.2024, Nr. 8, date:8.2024: 1169-1194
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26499 |
Proposing a digital twin-based sustainable water governance system for rural Indian villages
Enthalten in International journal of information technology Bd. 17, 18.1.2025, Nr. 3, date:4.2025: 1777-1783
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26500 |
Proposing a machine-learning based method to predict stillbirth before and during delivery and ranking the features: nationwide retrospective cross-sectional study
Enthalten in BMC pregnancy and childbirth Bd. 21, 12.3.2021, Nr. 1, date:12.2021: 1-17
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