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10831 |
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems
Enthalten in Computational mechanics Bd. 72, 21.3.2023, Nr. 3, date:9.2023: 553-561
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10832 |
Portability of semantic and spatial–temporal machine learning methods to analyse social media for near-real-time disaster monitoring
Enthalten in Natural hazards Bd. 108, 10.7.2021, Nr. 3, date:9.2021: 2939-2969
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10833 |
Portable optical spectroscopy and machine learning techniques for quantification of the biochemical content of raw food materials
Enthalten in CABI agriculture and bioscience Bd. 5, 14.4.2024, Nr. 1, date:12.2024: 1-12
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10834 |
Post-Anesthesia Care Unit (PACU) readiness predictions using machine learning: a comparative study of algorithms
Enthalten in BMC medical informatics and decision making Bd. 25, 25.3.2025, Nr. 1, date:12.2025: 1-10
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10835 |
Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study
Enthalten in Journal of digital imaging Bd. 36, 14.4.2023, Nr. 4, date:8.2023: 1348-1363
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10836 |
Post-selection confidence bounds for prediction performance
Enthalten in Machine learning Bd. 114, 14.2.2025, Nr. 3, date:3.2025: 1-32
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10837 |
Post-stroke respiratory complications using machine learning with voice features from mobile devices
Enthalten in Scientific reports Bd. 12, 6.10.2022, Nr. 1, date:12.2022: 1-11
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10838 |
Post-surgery survival and associated factors for cardiac patients in Ethiopia: applications of machine learning, semi-parametric and parametric modelling
Enthalten in BMC medical informatics and decision making Bd. 24, 29.3.2024, Nr. 1, date:12.2024: 1-12
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10839 |
Postoperative delirium prediction using machine learning models and preoperative electronic health record data
Enthalten in BMC anesthesiology Bd. 22, 3.1.2022, Nr. 1, date:12.2022: 1-12
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10840 |
Postoperative fever following surgery for oral cancer: Incidence, risk factors, and the formulation of a machine learning-based predictive model
Enthalten in BMC oral health Bd. 25, 30.1.2025, Nr. 1, date:12.2025: 1-12
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