Developing automatic recognition system of drill wear in standard laminated chipboard drilling process S Osowski, J Kurek, M Kruk, J Górski, P Hoser, G Wieczorek, A Jegorowa, ... Bulletin of the Polish Academy of Sciences Technical Sciences, 633-640-633-640, 2016 | 32 | 2016 |
Use of nearest neighbors (k-NN) algorithm in tool condition identification in the case of drilling in melamine faced particleboard A Jegorowa, J Górski, J Kurek, M Kruk Maderas. Ciencia y tecnología 22 (2), 189-196, 2020 | 27 | 2020 |
Transfer learning in recognition of drill wear using convolutional neural network J Kurek, G Wieczorek, BSM Kruk, A Jegorowa, S Osowski 2017 18th International Conference on Computational Problems of Electrical …, 2017 | 27 | 2017 |
Initial study on the use of support vector machine (SVM) in tool condition monitoring in chipboard drilling A Jegorowa, J Górski, J Kurek, M Kruk European journal of wood and wood products 77, 957-959, 2019 | 25 | 2019 |
Deep learning in assessment of drill condition on the basis of images of drilled holes J Kurek, B Swiderski, A Jegorowa, M Kruk, S Osowski Eighth International Conference on Graphic and Image Processing (ICGIP 2016 …, 2017 | 25 | 2017 |
Deep learning methods for drill wear classification based on images of holes drilled in melamine faced chipboard A Jegorowa, J Kurek, I Antoniuk, W Dołowa, M Bukowski, P Czarniak Wood Science and Technology 55, 271-293, 2021 | 15 | 2021 |
Data augmentation techniques for transfer learning improvement in drill wear classification using convolutional neural network J Kurek, I Antoniuk, J Górski, A Jegorowa, B Świderski, M Kruk, ... Machine Graphics and Vision 28, 2019 | 13 | 2019 |
Application of siamese networks to the recognition of the drill wear state based on images of drilled holes J Kurek, I Antoniuk, B Świderski, A Jegorowa, M Bukowski Sensors 20 (23), 6978, 2020 | 12 | 2020 |
Classifiers ensemble of transfer learning for improved drill wear classification using convolutional neural network J Kurek, I Antoniuk, J Górski, A Jegorowa, B Świderski, M Kruk, ... Machine Graphics & Vision 28 (1/4), 2019 | 12 | 2019 |
Decision confidence assessment in multi-class classification M Bukowski, J Kurek, I Antoniuk, A Jegorowa Sensors 21 (11), 3834, 2021 | 10 | 2021 |
Multiclass image classification using gans and cnn based on holes drilled in laminated chipboard G Wieczorek, M Chlebus, J Gajda, K Chyrowicz, K Kontna, M Korycki, ... Sensors 21 (23), 8077, 2021 | 8 | 2021 |
Tool condition monitoring for the chipboard drilling process using automatic, signal-based tool state evaluation B Świderski, I Antoniuk, J Kurek, M Bukowski, J Górski, A Jegorowa BioResources 17 (3), 5349, 2022 | 6 | 2022 |
Time-efficient approach to drill condition monitoring based on images of holes drilled in melamine faced chipboard A Jegorowa, I Antoniuk, J Kurek, M Bukowski, W Dołowa, P Czarniak BioResources 15 (4), 9611, 2020 | 6 | 2020 |
Effect of Nitrogen Ion Implantation on the Tool Life Used in Particleboard CNC Drilling J Wilkowski, A Jegorowa, M Barlak, Z Werner, J Zagórski, B Staszkiewicz, ... Materials 15 (10), 3420, 2022 | 5 | 2022 |
Diagnostic system of drill condition in laminated chipboard drilling process B Świderski, J Kurek, S Osowski, M Kruk, A Jegorowa MATEC Web of Conferences 125, 2017 | 5 | 2017 |
Automatic recognition of drill condition on the basis of images of drilled holes M Kruk, A Jegorowa, J Kurek, S Osowski, J Gorski 2016 17th International Conference Computational Problems of Electrical …, 2016 | 5 | 2016 |
Значение виброакустических сигналов таких как вибрация и шум в диагностике износа инструмента во время сверления в древесностружечной ламинированной плите A JEGOROWA, J GÓRSKI, R MOREK, P PODZIEWSKI, K SZYMANOWSKI, ... Annals of Warsaw University of Life Sciences–SGGW, Forestry and Wood …, 2015 | 5 | 2015 |
The Use of Multilayer Perceptron (MLP) to Reduce Delamination during Drilling into Melamine Faced Chipboard A Jegorowa, J Kurek, M Kruk, J Górski Forests 13 (6), 933, 2022 | 4 | 2022 |
Automatic identification of drill condition during drilling process in standard laminated chipboard with the use of long short-term memory (LSTM) J Kurek, G Wieczorek, B Swiderski, M Kruk, A Jegorowa, J Gorski 19th International Conference Computational Problems of Electrical …, 2018 | 4 | 2018 |
Automatic estimation of drill wear based on images of holes drilled in melamine faced chipboard with machine learning algorithms A Jegorowa, J Kurek, I Antoniuk, A Krupa, G Wieczorek, B Świderski, ... Forests 14 (2), 205, 2023 | 3 | 2023 |