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Słowo kluczowe machine learning

 

Industrial Application of Deep Neural Network for Aluminum Casting Defect Detection in Case of Unbalanced Dataset
Michał Awtoniuk, Dariusz Majerek, Artur Myziak, Cyprian Gajda
Adv. Sci. Technol. Res. J. 2022; 16(5):120-128
DOI: https://doi.org/10.12913/22998624/154963
 

Combining Spectral Analysis with Artificial Intelligence in Heart Sound Study
Dariusz Kucharski, Marcin Kajor, Dominik Grochala, Marek Iwaniec, Joanna Iwaniec
Adv. Sci. Technol. Res. J. 2019; 13(2):112-118
DOI: https://doi.org/10.12913/22998624/108447
 

Optimization of Machine Learning Process Using Parallel Computing
Michal Kazimierz Grzeszczyk
Adv. Sci. Technol. Res. J. 2018; 12(4):81-87
DOI: https://doi.org/10.12913/22998624/100341
 

DETECTION OF DRIVER SLEEPINESS AND WARNING THE DRIVER IN REAL-TIME USING IMAGE PROCESSING AND MACHINE LEARNING TECHNIQUES
İlhan Umut, Ozan Aki, Erdem Uçar, Levent Öztürk
Adv. Sci. Technol. Res. J. 2017; 11(2):95-102
DOI: https://doi.org/10.12913/22998624/69149
 

Applying the Machine Learning Method to Improve Calibration Quality of TDR Measuring Technique
Dominika Mikušová, Zbigniew Suchorab, Magdalena Paśnikowska-Łukaszuk, Jacek Zaburko, Anton Trnik
Adv. Sci. Technol. Res. J. 2024; 18(3):270-279
 

Methods of Automatic Interpretation of Signals Used in Control Systems
Krzysztof Wójcik
Adv. Sci. Technol. Res. J. 2024; 18(3):79-91
 

Analysis of Wire Rolling Processes Using Convolutional Neural Networks
Matheus Capelin, Gustavo Aristides Santana Martinez, Yutao Xing, Adriano Francisco Siqueira, Wei-Liang Qian
Adv. Sci. Technol. Res. J. 2024; 18(2):103-114
DOI: https://doi.org/10.12913/22998624/183699
 

Prediction of Waviness Values in Skew Rolling Using Machine Learning Methods
Konrad Lis, Zbigniew Pater, Janusz Tomczak, Tomasz Adam Bulzak, Tomasz Kusiak
Adv. Sci. Technol. Res. J. 2023; 17(5):350-359
DOI: https://doi.org/10.12913/22998624/172338
 

Enhancing Code Review Efficiency – Automated Pull Request Evaluation using Natural Language Processing and Machine Learning
Przemysław Wincenty Zydroń, Jarosław Protasiewicz
Adv. Sci. Technol. Res. J. 2023; 17(4):162-167
DOI: https://doi.org/10.12913/22998624/169576
 

Ensemble Model for Network Intrusion Detection System Based on Bagging Using J48
Mohammad Mahmood Otoom, Khalid Nazim Abdul Sattar, Mutasim Al Sadig
Adv. Sci. Technol. Res. J. 2023; 17(2):322-329
DOI: https://doi.org/10.12913/22998624/161820
 

Identification of Tool Wear During Cast Iron Drilling Using Machine Learning Methods
Paweł Twardowski, Maciej Tabaszewski, Agata Felusiak-Czyryca, Piotr Kieruj, Martyna Wiciak-Pikuła, Jakub Czyżycki
Adv. Sci. Technol. Res. J. 2022; 16(6):126-139
DOI: https://doi.org/10.12913/22998624/155985
 
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