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Ergebnis der Suche nach: "Machine Learning"
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25991 - 26000 von 29112
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Artikel 25991 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
Online Ressource
Artikel 25992 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
Online Ressource
Artikel 25993 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
Online Ressource
Artikel 25994 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
Online Ressource
Artikel 25995 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
Online Ressource
Artikel 25996 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
Online Ressource
Artikel 25997 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
Online Ressource
Artikel 25998 Prediction of central deflection and slenderness limit for lateral stability of simply supported concrete beam using machine learning techniques
Enthalten in Asian journal of civil engineering Bd. 25, 26.7.2024, Nr. 7, date:11.2024: 5443-5466
Online Ressource
Artikel 25999 Prediction of cerebral aneurysm rupture risk by machine learning algorithms: a systematic review and meta-analysis of 18,670 participants
Enthalten in Neurosurgical review Bd. 47, 6.1.2024, Nr. 1, date:12.2024: 1-17
Online Ressource
Artikel 26000 Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques
Enthalten in SN Computer Science Bd. 2, 30.3.2021, Nr. 3, date:5.2021: 1-10
Online Ressource


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