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

41611 - 41620 von 41977
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Artikel 41611 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 41612 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 41613 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 41614 Using machine learning to forecast conflict events for use in forced migration models
Enthalten in Scientific reports Bd. 15, 2.8.2025, Nr. 1, date:12.2025: 1-14 		Online Ressource
Artikel 41615 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 41616 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 41617 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 		Online Ressource
Artikel 41618 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 41619 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 41620 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


41611 - 41620 von 41977
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