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

15531 - 15540 von 19255

	15531	Machine learning helps improve diagnostic ability of subclinical keratoconus using Scheimpflug and OCT imaging modalities Enthalten in Eye and Vision Bd. 7, 10.9.2020, Nr. 1, date:12.2020: 1-12
	15532	Machine learning heralding a new development phase in molecular dynamics simulations Enthalten in Artificial intelligence review Bd. 57, 29.3.2024, Nr. 4, date:4.2024: 1-36
	15533	Machine learning Hubbard parameters with equivariant neural networks Enthalten in npj computational materials Bd. 11, 25.1.2025, Nr. 1, date:12.2025: 1-10
	15534	Machine learning hydrogen adsorption on nanoclusters through structural descriptors Enthalten in npj computational materials Bd. 4, 19.7.2018, Nr. 1, date:12.2018: 1-8
	15535	Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on image and video processing Bd. 2019, 6.5.2019, Nr. 1, date:12.2019: 1-18
	15536	Machine learning identification of key genes in cardioembolic stroke and atherosclerosis: their association with pan-cancer and immune cells Enthalten in European journal of medical research Bd. 30, 24.7.2025, Nr. 1, date:12.2025: 1-18
	15537	Machine learning identification of risk factors for heart failure in patients with diabetes mellitus with metabolic dysfunction associated steatotic liver disease (MASLD): the Silesia Diabetes-Heart Project Enthalten in Cardiovascular diabetology Bd. 22, 20.11.2023, Nr. 1, date:12.2023: 1-14
	15538	Machine learning identification of thresholds to discriminate osteoarthritis and rheumatoid arthritis synovial inflammation Enthalten in Arthritis Research & Therapy Bd. 25, 2.3.2023, Nr. 1, date:12.2023: 1-13
	15539	Machine learning identified an Alzheimer’s disease-related FDG-PET pattern which is also expressed in Lewy body dementia and Parkinson’s disease dementia Enthalten in Scientific reports Bd. 8, 5.9.2018, Nr. 1, date:12.2018: 1-13
	15540	Machine learning identified novel players in lipid metabolism, endosomal trafficking, and iron metabolism of the ALS spinal cord Enthalten in Scientific reports Bd. 15, 10.1.2025, Nr. 1, date:12.2025: 1-13