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Ergebnis der Suche nach:
"Machine Learning"
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26921 - 26930 von 31600
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26921
Novel machine learning approach for enhanced smart grid power use and price prediction using advanced shark Smell-Tuned flexible support vector machine
Enthalten in Scientific reports Bd. 15, 1.7.2025, Nr. 1, date:12.2025: 1-14
26922
Novel Machine Learning Approaches for Accurate Leaf Area Estimation in Apples
Enthalten in Applied fruit science Bd. 67, 11.3.2025, Nr. 2, date:4.2025: 1-10
26923
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
26924
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
26925
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
26926
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
26927
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
26928
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
26929
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
26930
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
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