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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

38441 - 38450 von 38766
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Artikel 38441 Using machine learning to explore core risk factors associated with the risk of eating disorders among non-clinical young women in China: A decision-tree classification analysis
Enthalten in Journal of eating disorders Bd. 10, 10.2.2022, Nr. 1, date:12.2022: 1-11
Online Ressource
Artikel 38442 Using machine learning to explore the determinants of service satisfaction with online healthcare platforms during the COVID-19 pandemic
Enthalten in Service business Bd. 17, 16.5.2023, Nr. 2, date:6.2023: 449-476
Online Ressource
Artikel 38443 Using machine learning to explore the efficacy of administrative variables in prediction of subjective-wellbeing outcomes in New Zealand
Enthalten in Scientific reports Bd. 15, 25.2.2025, Nr. 1, date:12.2025: 1-10
Online Ressource
Artikel 38444 Using machine learning to find the hidden relationship between RTT and TCP throughput in WiFi
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on wireless communications and networking Bd. 2021, 20.12.2021, Nr. 1, date:12.2021: 1-18
Online Ressource
Artikel 38445 Using machine learning to forecast domestic homicide via police data and super learning
Enthalten in Scientific reports Bd. 13, 21.12.2023, Nr. 1, date:12.2023: 1-8
Online Ressource
Artikel 38446 Using Machine Learning to Forecast Future Earnings
Enthalten in Atlantic economic journal Bd. 48, 21.1.2021, Nr. 4, date:12.2020: 543-545
Online Ressource
Artikel 38447 Using Machine Learning to Identify and Optimize Sensitive Parameters in Urban Flood Model Considering Subsurface Characteristics
Enthalten in International journal of disaster risk science Bd. 15, 21.2.2024, Nr. 1, date:2.2024: 116-133
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Artikel 38448 Using machine learning to identify gene interaction networks associated with breast cancer
Enthalten in BMC cancer Bd. 22, 17.10.2022, Nr. 1, date:12.2022: 1-9
Online Ressource
Artikel 38449 Using machine learning to identify Parkinson’s disease severity subtypes with multimodal data
Enthalten in Journal of neuroEngineering and rehabilitation Bd. 22, 2.6.2025, Nr. 1, date:12.2025: 1-18
Online Ressource
Artikel 38450 Using machine learning to identify patients at high risk of developing low bone density or osteoporosis after gastrectomy: a 10-year multicenter retrospective analysis
Enthalten in Journal of cancer research and clinical oncology Bd. 149, 28.10.2023, Nr. 19, date:12.2023: 17479-17493
Online Ressource


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