Classifying Parkinson’s disease based on acoustic measures using artificial neural networks L Berus, S Klancnik, M Brezocnik, M Ficko Sensors 19 (1), 16, 2018 | 95 | 2018 |
Computer vision-based approach to end mill tool monitoring S Klancnik, M Ficko, J Balic, I Pahole International Journal of Simulation Modelling 14 (4), 571-583, 2015 | 44 | 2015 |
Particle swarm optimization approach for modelling a turning process M Hrelja, S Klancnik, T Irgolic, M Paulic, Z Jurkovic, J Balic, M Brezocnik Advances in Production Engineering & Management 9 (1), 21-30, 2014 | 42 | 2014 |
Comparison of artificial neural network, fuzzy logic and genetic algorithm for cutting temperature and surface roughness prediction during the face milling process B Savkovic, P Kovac, D Rodic, B Strbac, S Klancnik Adv. Prod. Eng. Manag 15 (2), 137-150, 2020 | 41 | 2020 |
Intelligent CAD/CAM system for programming of CNC machine tools S Klancnik, M Brezocnik, J Balic International journal of simulation modelling 15 (1), 109-120, 2016 | 41 | 2016 |
Intelligent design of an unconstrained layout for a flexible manufacturing system M Ficko, S Brezovnik, S Klancnik, J Balic, M Brezocnik, I Pahole Neurocomputing 73 (4-6), 639-647, 2010 | 37 | 2010 |
Prediction of laser cut quality for tungsten alloy using the neural network method/Napovedovanje kakovosti laserskega reza volframove zlitine z uporabo nevronske mreze S Klancnik, D Begic-Hajdarevic, M Paulic, M Ficko, A Cekic, MC Husic Strojniski vestnik-Journal of Mechanical Engineering 61 (12), 714-722, 2015 | 32 | 2015 |
Vision-based sorting systems for transparent plastic granulate T Peršak, B Viltužnik, J Hernavs, S Klančnik Applied Sciences 10 (12), 4269, 2020 | 31 | 2020 |
Modelling of a turning process using the gravitational search algorithm M Hrelja, S Klancnik, J Balic, M Brezocnik International Journal of Simulation Modelling 13 (1), 30-41, 2014 | 30 | 2014 |
Automatic identification of tool wear based on thermography and a convolutional neural network during the turning process N Brili, M Ficko, S Klančnik Sensors 21 (5), 1917, 2021 | 29 | 2021 |
Programming of CNC milling machines using particle swarm optimization S Klancnik, M Brezocnik, J Balic, I Karabegovic Materials and manufacturing processes 28 (7), 811-815, 2013 | 29 | 2013 |
Intelligent prediction of milling strategy using neural networks S Klancnik, J Balic, F Cus Control and Cybernetics 39 (1), 9-24, 2010 | 29 | 2010 |
Prediction of surface roughness of an abrasive water jet cut using an artificial neural network M Ficko, D Begic-Hajdarevic, M Cohodar Husic, L Berus, A Cekic, ... Materials 14 (11), 3108, 2021 | 27 | 2021 |
Modeling and design of experiments of laser cladding process by genetic programming and nondominated sorting Z Lestan, S Klancnik, J Balic, M Brezocnik Materials and Manufacturing Processes 30 (4), 458-463, 2015 | 26 | 2015 |
Deep learning in industry 4.0–brief overview J Hernavs, M Ficko, L Klančnik, R Rudolf, S Klančnik Journal of Production Engineering, 1-5, 2018 | 24 | 2018 |
Computer-based workpiece detection on CNC milling machine tools using optical camera and neural networks S Klancnik, J Senveter Advances in Production Engineering & Management 5 (1), 59-68, 2010 | 24 | 2010 |
Prediction of surface roughness using a feed-forward neural network J Senveter, S Klancnik, J Balic, F Cus Management and production engineering review 1 (2), 47-55, 2010 | 20 | 2010 |
Construction and evaluation of low-cost table CNC milling machine I Pahole, L Rataj, M Ficko, S Klancnik, S Brezovnik, M Brezocnik, J Balic Scientific Bulletin Series C: Fascicle Mechanics, Tribology, Machine …, 2009 | 20 | 2009 |
Tool condition monitoring of the cutting capability of a turning tool based on thermography N Brili, M Ficko, S Klančnik Sensors 21 (19), 6687, 2021 | 17 | 2021 |
Multi-objective optimization of the turning process using a Gravitational Search Algorithm (GSA) and NSGA-II approach S Klancnik, M Hrelja, J Balic, M Brezocnik Advances in Production Engineering & Management 11 (4), 366, 2016 | 17 | 2016 |