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Explainable AI (XAI) Techniques for Convolutional Neural Network-Based Classification of Drilled Holes in Melamine Faced Chipboard.
- Published in:
- Applied Sciences (2076-3417), 2024, v. 14, n. 17, p. 7462, doi. 10.3390/app14177462
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- Publication type:
- Article
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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- Article
Decision Confidence Assessment in Multi-Class Classification.
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- Sensors (14248220), 2021, v. 21, n. 11, p. 3834, doi. 10.3390/s21113834
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- Publication type:
- Article
Application of Siamese Networks to the Recognition of the Drill Wear State Based on Images of Drilled Holes.
- Published in:
- 2020
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- Publication type:
- Letter
Automatic Estimation of Drill Wear Based on Images of Holes Drilled in Melamine Faced Chipboard with Machine Learning Algorithms.
- Published in:
- Forests (19994907), 2023, v. 14, n. 2, p. 205, doi. 10.3390/f14020205
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- Publication type:
- Article
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.
- Published in:
- Materials (1996-1944), 2022, v. 15, n. 10, p. 3420, doi. 10.3390/ma15103420
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- Publication type:
- Article
USE OF NEAREST NEIGHBORS (K-NN) ALGORITHM IN TOOL CONDITION IDENTIFICATION IN THE CASE OF DRILLING IN MELAMINE FACED PARTICLEBOARD.
- Published in:
- Maderas: Ciencia y Tecnología, 2020, v. 22, n. 2, p. 189, doi. 10.4067/S0718-221X2020005000205
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- Article
A Novel Approach using Vision Transformers (VIT) for Classification of Holes Drilled in Melamine Faced Chipboard.
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- Przegląd Elektrotechniczny, 2024, v. 2024, n. 5, p. 273, doi. 10.15199/48.2024.05.52
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- Publication type:
- Article
CLASSIFIERS ENSEMBLE OF TRANSFER LEARNING FOR IMPROVED DRILL WEAR CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK.
- Published in:
- Machine Graphics & Vision, 2019, v. 28, n. 1-4, p. 13, doi. 10.22630/mgv.2019.28.1.2
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- Publication type:
- Article
DATA AUGMENTATION TECHNIQUES FOR TRANSFER LEARNING IMPROVEMENT IN DRILL WEAR CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK.
- Published in:
- Machine Graphics & Vision, 2019, v. 28, n. 1-4, p. 3, doi. 10.22630/mgv.2019.28.1.1
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- Publication type:
- Article
Custom Loss Functions in XGBoost Algorithm for Enhanced Critical Error Mitigation in Drill-Wear Analysis of Melamine-Faced Chipboard.
- Published in:
- Sensors (14248220), 2024, v. 24, n. 4, p. 1092, doi. 10.3390/s24041092
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- Publication type:
- Article