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Ergebnis der Suche nach: "Machine Learning"
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26941 - 26950 von 31620

	26941	Novel machine learning-based hybrid strategy for severity assessment of Parkinson’s disorders Enthalten in Medical & biological engineering & computing Bd. 60, 4.2.2022, Nr. 3, date:3.2022: 811-828
	26942	Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipeline Enthalten in Brain Informatics Bd. 12, 8.2.2025, Nr. 1, date:12.2025: 1-27
	26943	Novel machine learning driven design strategy for high strength Zn Alloys optimization with multiple constraints Enthalten in npj computational materials Bd. 11, 6.6.2025, Nr. 1, date:12.2025: 1-11
	26944	Novel method for predicting the cracks of oxide scales during high temperature oxidation of metals and alloys by using machine learning Enthalten in Scientific reports Bd. 15, 5.3.2025, Nr. 1, date:12.2025: 1-15
	26945	Novel method of building train and test sets for evaluation of machine learning models related to software bugs assignment Enthalten in Scientific reports Bd. 13, 6.12.2023, Nr. 1, date:12.2023: 1-11
	26946	Novel models by machine learning to predict prognosis of breast cancer brain metastases Enthalten in Journal of translational medicine Bd. 21, 21.6.2023, Nr. 1, date:12.2023: 1-18
	26947	Novel models by machine learning to predict the risk of cardiac disease-specific death in young patients with breast cancer Enthalten in Discover oncology Bd. 15, 18.12.2024, Nr. 1, date:12.2024: 1-13
	26948	Novel molecular inhibitor design for Plasmodium falciparum Lactate dehydrogenase enzyme using machine learning generated library of diverse compounds Enthalten in Molecular diversity Bd. 28, 20.8.2024, Nr. 4, date:8.2024: 2331-2344
	26949	Novel phase adjournment data capturing technique for a mobile object in wireless sensor network Enthalten in International journal of information technology Bd. 16, 30.12.2023, Nr. 2, date:2.2024: 993-1004
	26950	Novel residual hybrid machine learning for solar activity prediction in smart cities Enthalten in Earth science informatics Bd. 16, 1.11.2023, Nr. 4, date:12.2023: 3931-3945

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