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26601 - 26610 von 28156
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Artikel 26601 Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning
Enthalten in npj digital medicine Bd. 6, 18.8.2023, Nr. 1, date:12.2023: 1-10
Online Ressource
Artikel 26602 SL-R-CNN-HHO: multi-class skin lesion classification using region-based convolutional neural networks and harris hawk optimization on the HAM dataset
Enthalten in International journal of information technology Bd. 17, 8.1.2025, Nr. 4, date:5.2025: 2457-2463
Online Ressource
Artikel 26603 Sleep Pattern Analysis from PolySomnoGraphic Signals using a Supervised Machine Learning Approach
Enthalten in SN Computer Science Bd. 2, 22.4.2021, Nr. 3, date:5.2021: 1-7
Online Ressource
Artikel 26604 Slicing of radial functions: a dimension walk in the Fourier space
Enthalten in Sampling theory, signal processing, and data analysis Bd. 23, 21.2.2025, Nr. 1, date:6.2025: 1-40
Online Ressource
Artikel 26605 Slope stability prediction of circular mode failure by machine learning models based on Bayesian Optimizer
Enthalten in Journal of mountain science Bd. 22, 26.3.2025, Nr. 4, date:4.2025: 1482-1498
Online Ressource
Artikel 26606 Small Angle Scattering Data Analysis Assisted by Machine Learning Methods
Enthalten in MRS advances Bd. 5, 27.9.2020, Nr. 29-30, date:6.2020: 1577-1584
Online Ressource
Artikel 26607 Small dataset machine-learning approach for efficient design space exploration: engineering ZnTe-based high-entropy alloys for water splitting
Enthalten in npj computational materials Bd. 10, 30.7.2024, Nr. 1, date:12.2024: 1-7
Online Ressource
Artikel 26608 Small-scale, large impact: utilizing machine learning to assess susceptibility to urban geological disasters—a case study of urban road collapses in Hangzhou
Enthalten in Bulletin of engineering geology and the environment Bd. 83, 23.10.2024, Nr. 11, date:11.2024: 1-19
Online Ressource
Artikel 26609 SMAP Sea Surface Salinity Improvement in the Arctic Region Using Machine Learning Approaches
Enthalten in Moskovskij gosudarstvennyj universitet im. M.V. Lomonosova: Moscow University physics bulletin Bd. 78, 17.1.2024, Nr. 1, date:12.2023: S210-S216
Online Ressource
Artikel 26610 Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops
Enthalten in Scientific reports Bd. 14, 3.12.2024, Nr. 1, date:12.2024: 1-16
Online Ressource


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