Steel Surface Defect Classification Using Deep Residual Neural Network I Konovalenko, P Maruschak, J Brezinová, J Viňáš, J Brezina Metals 10 (6), 846, 2020 | 94 | 2020 |
Morphological Characteristics of Dimples of Ductile Fracture of VT23M Titanium Alloy and Identification of Dimples on Fractograms of Different Scale I Konovalenko, P Maruschak, J Brezinová, J Brezina Materials 12 (13), 2051, 2019 | 41 | 2019 |
Steel Surface Defect Detection Using an Ensemble of Deep Residual Neural Networks I Konovalenko, P Maruschak, V Brevus Journal of Computing and Information Science in Engineering, 1-8, 2021 | 40 | 2021 |
Influence of deformation process in material at multiple cracking and fragmentation of nanocoating PO Maruschak, SV Panin, SR Ignatovich, IM Zakiev, IV Konovalenko, ... Theoretical and Applied Fracture Mechanics 57 (1), 43-48, 2012 | 37 | 2012 |
Recognition of Scratches and Abrasions on Metal Surfaces Using a Classifier Based on a Convolutional Neural Network I Konovalenko, P Maruschak, V Brevus, O Prentkovskis Metals 11 (4), 549, 2021 | 35 | 2021 |
Automated Method for Fractographic Analysis of Shape and Size of Dimples on Fracture Surface of High-Strength Titanium Alloys I Konovalenko, P Maruschak, O Prentkovskis Metals 8 (3), 161, 2018 | 35 | 2018 |
Computer analysis of surface cracks in structural elements PV Yasnii, PO Marushchak, IV Konovalenko, RT Bishchak Materials Science 44 (6), 833-839, 2008 | 33 | 2008 |
Research of U-Net-Based CNN Architectures for Metal Surface Defect Detection I Konovalenko, P Maruschak, J Brezinová, O Prentkovskis, J Brezina Machines 10 (5), 327, 2022 | 30 | 2022 |
Influence of Uneven Lighting on Quantitative Indicators of Surface Defects I Konovalenko, P Maruschak, H Kozbur, J Brezinová, J Brezina, ... Machines 10 (3), 194, 2022 | 30 | 2022 |
Investigation of the Rupture Surface of the Titanium Alloy Using Convolutional Neural Networks I Konovalenko, P Maruschak, O Prentkovskis, R Junevičius Materials 11 (12), 2467, 2018 | 30 | 2018 |
Effect of Long Term Operation on Degradation of Material of Main Gas Pipelines P Maruschak, R Bishchak, I Konovalenko, A Menou, J Brezinová Materials Science Forum 782, 279-283, 2014 | 25 | 2014 |
Error analysis of an algorithm for identifying thermal fatigue cracks IV Konovalenko, PO Marushchak Optoelectronics, Instrumentation and Data Processing 47 (4), 360-367, 2011 | 25 | 2011 |
Crack tip strain localisation on mechanics of fracture of heat resistant steel after hydrogenation PV Yasniy, IB Okipnyi, PO Maruschak, SV Panin, IV Konovalenko Theoretical and Applied Fracture Mechanics, 2013 | 24 | 2013 |
Physical regularities in the cracking of nanocoatings and a method for an automated determination of the crack-network parameters TV P Maruschak, V Gliha, I Konovalenko Materiali in tehnologije 46 (5), 525-529, 2012 | 23 | 2012 |
Mechanical Properties of Gas Main Steels after Long-Term Operation and Peculiarities of Their Fracture Surface Morphology V Hutsaylyuk, P Maruschak, I Konovalenko, S Panin, R Bishchak, ... Materials 12 (3), 491, 2019 | 20 | 2019 |
Fuzzy Logic Analysis of Parameters of Dimples of Ductile Tearing on the Digital Image of Fracture Surface I Konovalenko, P Maruschak, M Chausov, O Prentkovskis Procedia Engineering 187, 229-234, 2017 | 20 | 2017 |
Effect of thermal fatigue cracks on brittle-ductile deformation and failure of cbcm roller surface layers PO Maruschak, IV Konovalenko, RT Bishchak Metallurgist, 1-7, 2012 | 16 | 2012 |
Defectoscopic and Geometric Features of Defects That Occur in Sheet Metal and Their Description Based on Statistical Analysis I Konovalenko, P Maruschak, H Kozbur, J Brezinová, J Brezina, ... Metals 11 (11), 1851, 2021 | 14 | 2021 |
Digital Analysis of Shape and Size of Dimples of Ductile Tearing on Fracture Surface of Long-Operated Steel P Maruschak, I Konovalenko, O Prentkovskis, O Tsyrulnyk Procedia Engineering 134, 437-442, 2016 | 14 | 2016 |
Digital analysis of shape and size of dimples of ductile tearing on fracture surface of long-operated steel P Maruschak, I Konovalenko, O Prentkovskis, O Tsyrulnyk Procedia Engineering 134, 437-442, 2016 | 14 | 2016 |