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

26501 - 26510 von 29448

	26501	Prediction of Robotic Anastomosis Competency Evaluation (RACE) metrics during vesico-urethral anastomosis using electroencephalography, eye-tracking, and machine learning Enthalten in Scientific reports Bd. 14, 25.6.2024, Nr. 1, date:12.2024: 1-13
	26502	Prediction of sarcopenia at different time intervals: an interpretable machine learning analysis of modifiable factors Enthalten in BMC geriatrics Bd. 25, 27.2.2025, Nr. 1, date:12.2025: 1-10
	26503	Prediction of scour depth around bridge abutments using ensemble machine learning models Enthalten in Neural computing & applications Bd. 36, 10.11.2023, Nr. 3, date:1.2024: 1369-1380
	26504	Prediction of second order effects structures using machine learning Enthalten in Asian journal of civil engineering Bd. 26, 30.4.2025, Nr. 7, date:7.2025: 2933-2959
	26505	Prediction of Secondary Dendrite Arm Spacing in Al Alloys Using Machine Learning Enthalten in Metallurgical and materials transactions / B / Process metallurgy and materials processing science Bd. 52, 17.5.2021, Nr. 4, date:8.2021: 2395-2403
	26506	Prediction of sentinel lymph node metastasis in breast cancer patients based on preoperative features: a deep machine learning approach Enthalten in Scientific reports Bd. 14, 16.1.2024, Nr. 1, date:12.2024: 1-8
	26507	Prediction of sepsis mortality in ICU patients using machine learning methods Enthalten in BMC medical informatics and decision making Bd. 24, 16.8.2024, Nr. 1, date:12.2024: 1-11
	26508	Prediction of Seronegative Hashimoto's thyroiditis using machine learning models based on ultrasound radiomics: a multicenter study Enthalten in BMC immunology Bd. 26, 7.4.2025, Nr. 1, date:12.2025: 1-12
	26509	Prediction of Shale Gas Production by Hydraulic Fracturing in Changning Area Using Machine Learning Algorithms Enthalten in Transport in porous media Bd. 149, 13.4.2023, Nr. 1, date:8.2023: 373-388
	26510	Prediction of shield tunneling-induced ground settlement using machine learning techniques Enthalten in Frontiers of structural and civil engineering Bd. 13, 7.9.2019, Nr. 6, date:12.2019: 1363-1378

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

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Ergebnis der Suche nach: "Machine Learning"
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