Parameters in selective laser melting for processing metallic powders T Kurzynowski, E Chlebus, B Kuźnicka, J Reiner High power laser materials processing: lasers, beam delivery, diagnostics …, 2012 | 114 | 2012 |
Usefulness of 3D surface roughness parameters for nondestructive evaluation of pull-off adhesion of concrete layers J Hoła, Ł Sadowski, J Reiner, S Stach Construction and Building Materials 84, 111-120, 2015 | 99 | 2015 |
Verification of the predictive segmentation algorithm for the laser triangulation method J Reiner, M Stankiewicz Metrology and Measurement Systems 18 (4), 667-678, 2011 | 23 | 2011 |
Iterative learning of optimal control for nonlinear processes with applications to laser additive manufacturing W Rafajłowicz, P Jurewicz, J Reiner, E Rafajłowicz IEEE Transactions on Control Systems Technology 27 (6), 2647-2654, 2018 | 22 | 2018 |
Double-stream convolutional neural networks for machine vision inspection of natural products P Dolata, M Mrzygłód, J Reiner Applied Artificial Intelligence 31 (7-8), 643-659, 2017 | 17 | 2017 |
Design of a chromatic confocal displacement sensor integrated with an optical laser head A Zakrzewski, M Ćwikła, P Koruba, P Jurewicz, J Reiner Applied Optics 59 (29), 9108-9117, 2020 | 15 | 2020 |
Influence of processing gases in laser cladding based on simulation analysis and experimental tests P Koruba, K Wall, J Reiner Procedia CIRP 74, 719-723, 2018 | 15 | 2018 |
Concrete surface roughness testing using nondestructive three-dimensional optical method J Hoła, Ł Sadowski, J Reiner, M Stankiewicz NDE Saf. Defektosk. Sec. Czech Repub 6, 101-105, 2012 | 15 | 2012 |
System for laser microsurfacing of metal powders T Baraniecki, E Chlebus, D Marian, J Kędzia, J Reiner, W Marcin Welding International 30 (2), 98-102, 2016 | 14 | 2016 |
Simulations for tuning a laser power control system of the cladding process P Jurewicz, W Rafajłowicz, J Reiner, E Rafajłowicz Computer Information Systems and Industrial Management: 15th IFIP TC8 …, 2016 | 14 | 2016 |
Multipurpose monitoring system for edible insect breeding based on machine learning P Majewski, P Zapotoczny, P Lampa, R Burduk, J Reiner Scientific Reports 12 (1), 7892, 2022 | 13 | 2022 |
Instance segmentation of root crops and simulation-based learning to estimate their physical dimensions for on-line machine vision yield monitoring P Dolata, P Wróblewski, M Mrzygłód, J Reiner Computers and Electronics in Agriculture 190, 106451, 2021 | 13 | 2021 |
Barley variety recognition with viewpoint-aware double-stream convolutional neural networks P Dolata, J Reiner 2018 federated conference on computer science and information systems …, 2018 | 12 | 2018 |
Rendering for machine vision prototyping J Reiner Proceedings of SPIE 7100, 710009, 2008 | 12 | 2008 |
Influence of overlap on surface quality in the laser polishing of 3d printed inconel 718 under the effect of air and argon M Ćwikła, R Dziedzic, J Reiner Materials 14 (6), 1479, 2021 | 11 | 2021 |
Identyfikacja i modelowanie optyczne systemów wizyjnej kontroli jakości wytwarzania J Reiner Oficyna Wydawnicza Politechniki Wrocławskiej, 2013 | 11 | 2013 |
Knowledge management issues for maintenance of automated production systems J Reiner, J Koch, I Krebs, S Schnabel, T Siech Integrating Human Aspects in Production Management, 229-237, 2005 | 9 | 2005 |
Cold spraying and laser cladding as an alternative to electroplating processes J Sienicki, W Zórawski, A Dworak, P Koruba, P Jurewicz, J Reiner Aircraft Engineering and Aerospace Technology 91 (2), 205-215, 2018 | 8 | 2018 |
Ultra-High Speed Laser Cladding (UHSLC) technology for Stellite 6 functional coatings deposition in aviation industry P Koruba, P Jurewicz, J Reiner, A Dworak, J Mądry Welding Technology Review 89 (6), 2017 | 8 | 2017 |
Predictive segmentation method for 3D inspection accuracy and robustness improvement J Reiner, M Stankiewicz, M Wójcik Optical measurement systems for industrial inspection VI 7389, 99-106, 2009 | 8 | 2009 |