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Ergebnis der Suche nach:
"Machine Learning"
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27671 - 27680 von 29408
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27671
SERS-based lateral flow assay combined with machine learning for highly sensitive quantitative analysis of Escherichia coli O157:H7
Enthalten in Analytical and bioanalytical chemistry Bd. 412, 12.9.2020, Nr. 28, date:11.2020: 7881-7890
27672
Serum micro-RNAs with mutation-targeted RNA modification: a potent cancer detection tool constructed using an optimized machine learning workflow
Enthalten in Scientific reports Bd. 14, 19.4.2024, Nr. 1, date:12.2024: 1-11
27673
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting
Enthalten in Machine learning Bd. 112, 13.3.2023, Nr. 7, date:7.2023: 2555-2591
27674
Setting the standard for machine learning in phase field prediction: a benchmark dataset and baseline metrics
Enthalten in Scientific data Bd. 11, 23.11.2024, Nr. 1, date:12.2024: 1-10
27675
Settlement prediction of micropile supported raft using machine learning: modelling and performance evaluation
Enthalten in Journal of building pathology and rehabilitation Bd. 10, 2.11.2024, Nr. 1, date:6.2025: 1-16
27676
Several machine learning techniques comparison for the prediction of the uniaxial compressive strength of carbonate rocks
Enthalten in Scientific reports Bd. 12, 5.12.2022, Nr. 1, date:12.2022: 1-13
27677
Severity Classification of Code Smells Using Machine-Learning Methods
Enthalten in SN Computer Science Bd. 4, 29.7.2023, Nr. 5, date:9.2023: 1-20
27678
Sex and age estimation with corneal topography parameters by using machine learning algorithms and artificial neural networks
Enthalten in Egyptian Journal of Forensic Sciences Bd. 14, 11.6.2024, Nr. 1, date:12.2024: 1-9
27679
Sex and age estimation with machine learning algorithms with parameters obtained from cone beam computed tomography images of maxillary first molar and canine teeth
Enthalten in Egyptian Journal of Forensic Sciences Bd. 13, 1.6.2023, Nr. 1, date:12.2023: 1-9
27680
Sex and population differences in the cardiometabolic continuum: a machine learning study using the UK Biobank and ELSA-Brasil cohorts
Enthalten in BMC public health Bd. 24, 6.8.2024, Nr. 1, date:12.2024: 1-14
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