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25701 |
Prediction of bloodstream infection using machine learning based primarily on biochemical data
Enthalten in Scientific reports Bd. 15, 20.5.2025, Nr. 1, date:12.2025: 1-13
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25702 |
Prediction of Boiling Crisis in Channels Using Machine Learning Algorithms
Enthalten in Optoelectronics, instrumentation and data processing Bd. 58, 8.7.2022, Nr. 1, date:2.2022: 98-108
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25703 |
Prediction of buckling damage of steel equal angle structural members using hybrid machine learning techniques
Enthalten in Scientific reports Bd. 15, 8.2.2025, Nr. 1, date:12.2025: 1-11
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25704 |
Prediction of cadmium content using machine learning methods
Enthalten in Environmental earth sciences Bd. 83, 27.5.2024, Nr. 12, date:6.2024: 1-11
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25705 |
Prediction of carbapenem-resistant gram-negative bacterial bloodstream infection in intensive care unit based on machine learning
Enthalten in BMC medical informatics and decision making Bd. 24, 14.5.2024, Nr. 1, date:12.2024: 1-11
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25706 |
Prediction of Carbonation Depth for Concrete Containing Mineral Admixtures Based on Machine Learning
Enthalten in The Arabian journal for science and engineering Bd. 48, 9.3.2023, Nr. 10, date:10.2023: 13211-13225
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25707 |
Prediction of cardiac arrest in critically ill patients presenting to the emergency department using a machine learning score incorporating heart rate variability compared with the modified early warning score
Enthalten in Critical care Bd. 16, 21.6.2012, Nr. 3, date:6.2012: 1-12
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25708 |
Prediction of CBR and resilient modulus of crushed waste rocks using machine learning models
Enthalten in Acta geotechnica Bd. 17, 2.4.2022, Nr. 4, date:4.2022: 1383-1402
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25709 |
Prediction of cell migration potential on human breast cancer cells treated with Albizia lebbeck ethanolic extract using extreme machine learning
Enthalten in Scientific reports Bd. 13, 14.12.2023, Nr. 1, date:12.2023: 1-16
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25710 |
Prediction of cellulose micro/nanofiber aspect ratio and yield of nanofibrillation using machine learning techniques
Enthalten in Cellulose Bd. 29, 17.9.2022, Nr. 17, date:11.2022: 9143-9162
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