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Ergebnis der Suche nach: "Machine Learning"
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16561 - 16570 von 17232

	16561	The ab initio non-crystalline structure database: empowering machine learning to decode diffusivity Enthalten in npj computational materials Bd. 10, 19.12.2024, Nr. 1, date:12.2024: 1-11
	16562	The analysis of financial market risk based on machine learning and particle swarm optimization algorithm Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on wireless communications and networking Bd. 2022, 2.4.2022, Nr. 1, date:12.2022: 1-17
	16563	The analysis of motion recognition model for badminton player movements using machine learning Enthalten in Scientific reports Bd. 15, 30.5.2025, Nr. 1, date:12.2025: 1-17
	16564	The anesthesiologist’s guide to critically assessing machine learning research: a narrative review Enthalten in BMC anesthesiology Bd. 24, 18.12.2024, Nr. 1, date:12.2024: 1-11
	16565	The application of different machine learning models based on PET/CT images and EGFR in predicting brain metastasis of adenocarcinoma of the lung Enthalten in BMC cancer Bd. 24, 11.4.2024, Nr. 1, date:12.2024: 1-13
	16566	The application of fluorescence spectroscopy and machine learning as non-destructive approach to distinguish two different varieties of greenhouse tomatoes Enthalten in European food research and technology Bd. 249, 8.9.2023, Nr. 12, date:12.2023: 3239-3245
	16567	The application of machine learning approaches to classify and predict fertility rate in Ethiopia Enthalten in Scientific reports Bd. 15, 20.1.2025, Nr. 1, date:12.2025: 1-13
	16568	The application of machine learning approaches to determine the predictors of anemia among under five children in Ethiopia Enthalten in Scientific reports Bd. 13, 21.12.2023, Nr. 1, date:12.2023: 1-10
	16569	The application of machine learning for identifying frailty in older patients during hospital admission Enthalten in BMC medical informatics and decision making Bd. 24, 27.9.2024, Nr. 1, date:12.2024: 1-11
	16570	The application of machine learning methods for predicting the progression of adolescent idiopathic scoliosis: a systematic review Enthalten in Biomedical engineering online Bd. 23, 8.8.2024, Nr. 1, date:12.2024: 1-15

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