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11671 |
Novel jet observables from machine learning
Enthalten in Journal of high energy physics Bd. 2018, 14.3.2018, Nr. 3, date:3.2018: 1-18
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11672 |
Novel machine-learning analysis of SARS-CoV-2 infection in a subclinical nonhuman primate model using radiomics and blood biomarkers
Enthalten in Scientific reports Bd. 13, 10.11.2023, Nr. 1, date:12.2023: 1-14
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11673 |
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
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11674 |
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
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11675 |
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
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11676 |
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
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11677 |
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
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11678 |
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
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11679 |
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
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11680 |
Novel Surface Topography and Microhardness Characterization of Laser Clad Layer on TC4 Titanium Alloy Using Laser-Induced Breakdown Spectroscopy and Machine Learning
Enthalten in Metallurgical and materials transactions / A / Physical metallurgy and materials science Bd. 53, 14.8.2022, Nr. 10, date:10.2022: 3639-3653
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