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ADDITIONAL LOOK INTO GAN-BASED AUGMENTATION FOR DEEP LEARNING COVID-19 IMAGE CLASSIFICATION.
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- Machine Graphics & Vision, 2023, v. 32, n. 3/4, p. 107, doi. 10.22630/MGV.2023.32.3.6
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Advanced Feature Extraction Methods from Images of Drillings in Melamine Faced Chipboard for Automatic Diagnosis of Drill Wear.
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- Sensors (14248220), 2023, v. 23, n. 3, p. 1109, doi. 10.3390/s23031109
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- Article
Multiclass Image Classification Using GANs and CNN Based on Holes Drilled in Laminated Chipboard.
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- Sensors (14248220), 2021, v. 21, n. 23, p. 8077, doi. 10.3390/s21238077
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Automatic Estimation of Drill Wear Based on Images of Holes Drilled in Melamine Faced Chipboard with Machine Learning Algorithms.
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- Forests (19994907), 2023, v. 14, n. 2, p. 205, doi. 10.3390/f14020205
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The Use of Multilayer Perceptron (MLP) to Reduce Delamination during Drilling into Melamine Faced Chipboard.
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- Forests (19994907), 2022, v. 13, n. 6, p. 933, doi. 10.3390/f13060933
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- Article
Effect of Nitrogen Ion Implantation on the Tool Life Used in Particleboard CNC Drilling.
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- Materials (1996-1944), 2022, v. 15, n. 10, p. 3420, doi. 10.3390/ma15103420
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- Article
USE OF NEAREST NEIGHBORS (K-NN) ALGORITHM IN TOOL CONDITION IDENTIFICATION IN THE CASE OF DRILLING IN MELAMINE FACED PARTICLEBOARD.
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- Maderas: Ciencia y Tecnología, 2020, v. 22, n. 2, p. 189, doi. 10.4067/S0718-221X2020005000205
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- Article
Melanoma recognition using extended set of descriptors and classifiers.
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- EURASIP Journal on Image & Video Processing, 2015, v. 2015, n. 1, p. 1, doi. 10.1186/s13640-015-0099-9
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- Article
Prediction of Potato (Solanum tuberosum L.) Yield Based on Machine Learning Methods.
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- Agriculture; Basel, 2023, v. 13, n. 12, p. 2259, doi. 10.3390/agriculture13122259
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- Article
CONTEXT-BASED SEGMENTATION OF THE LONGISSIMUS MUSCLE IN BEEF WITH A DEEP NEURAL NETWORK.
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- Machine Graphics & Vision, 2019, v. 28, n. 1-4, p. 47, doi. 10.22630/mgv.2019.28.1.5
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- Article
TEXTURAL FEATURES BASED ON RUN LENGTH ENCODING IN THE CLASSIFICATION OF FURNITURE SURFACES WITH THE ORANGE SKIN DEFECT.
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- Machine Graphics & Vision, 2019, v. 28, n. 1-4, p. 35, doi. 10.22630/mgv.2019.28.1.4
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- Article
BCT BOOST SEGMENTATION WITH U-NET IN TENSORFLOW.
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- Machine Graphics & Vision, 2019, v. 28, n. 1-4, p. 25, doi. 10.22630/mgv.2019.28.1.3
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- Article
CLASSIFIERS ENSEMBLE OF TRANSFER LEARNING FOR IMPROVED DRILL WEAR CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK.
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- Machine Graphics & Vision, 2019, v. 28, n. 1-4, p. 13, doi. 10.22630/mgv.2019.28.1.2
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- Article
DATA AUGMENTATION TECHNIQUES FOR TRANSFER LEARNING IMPROVEMENT IN DRILL WEAR CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK.
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- Machine Graphics & Vision, 2019, v. 28, n. 1-4, p. 3, doi. 10.22630/mgv.2019.28.1.1
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- Article
Application of Machine Learning Algorithms for Tool Condition Monitoring in Milling Chipboard Process.
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- Sensors (14248220), 2023, v. 23, n. 13, p. 5850, doi. 10.3390/s23135850
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- Article