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Ergebnis der Suche nach: "Machine Learning"
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Artikel 26891 Skin Cancer Detection and Classification System by Applying Image Processing and Machine Learning Techniques
Enthalten in Optical memory and neural networks Bd. 32, 25.9.2023, Nr. 3, date:9.2023: 197-203
Online Ressource
Artikel 26892 Skin Cancer Malignancy Classification and Segmentation Using Machine Learning Algorithms
Enthalten in JOM Bd. 75, 30.5.2023, Nr. 8, date:8.2023: 3121-3135
Online Ressource
Artikel 26893 Skin lesion classification of dermoscopic images using machine learning and convolutional neural network
Enthalten in Scientific reports Bd. 12, 28.10.2022, Nr. 1, date:12.2022: 1-11
Online Ressource
Artikel 26894 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 26895 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 26896 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 26897 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 26898 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 26899 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 26900 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


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