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GENERATING LAYOUT FOR COMPLEX CAVE-LIKE LEVELS WITH SCHEMATIC MAPS AND CELLULAR AUTOMATA.
- Published in:
- Machine Graphics & Vision, 2023, v. 32, n. 2, p. 45, doi. 10.22630/MGV.2023.32.2.3
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- Article
NORMAL PATCH RETINEX ROBUST ALGHORITM FOR WHITE BALANCING IN DIGITAL MICROSCOPY.
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- Machine Graphics & Vision, 2020, v. 29, n. 1-4, p. 79, doi. 10.22630/MGV.2020.29.1.5
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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
TEXT AREA DETECTION IN HANDWRITTEN DOCUMENTS SCANNED FOR FURTHER PROCESSING.
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- Machine Graphics & Vision, 2020, v. 29, n. 1-4, p. 21, doi. 10.22630/MGV.2020.29.1.2
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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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- Publication type:
- 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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- Publication type:
- 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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- Publication type:
- Article
Enhancements in Radiological Detection of Metastatic Lymph Nodes Utilizing AI-Assisted Ultrasound Imaging Data and the Lymph Node Reporting and Data System Scale.
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- Cancers, 2024, v. 16, n. 8, p. 1564, doi. 10.3390/cancers16081564
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- 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
Prediction of Potato (Solanum tuberosum L.) Yield Based on Machine Learning Methods.
- Published in:
- Agriculture; Basel, 2023, v. 13, n. 12, p. 2259, doi. 10.3390/agriculture13122259
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- Article
Prediction of Blueberry (Vaccinium corymbosum L.) Yield Based on Artificial Intelligence Methods.
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- Agriculture; Basel, 2022, v. 12, n. 12, p. 2089, doi. 10.3390/agriculture12122089
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- Article
Improved efficient capsule network for Kuzushiji-MNIST benchmark dataset classification.
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- Bulletin of the Polish Academy of Sciences: Technical Sciences, 2023, v. 71, n. 6, p. 1, doi. 10.24425/bpasts.2023.147338
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- Article
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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- 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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- 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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- Publication type:
- Article
Improved Drill State Recognition during Milling Process Using Artificial Intelligence.
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- Sensors (14248220), 2023, v. 23, n. 1, p. 448, doi. 10.3390/s23010448
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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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- Article