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prof. dr. Simon Klančnik
prof. dr. Simon Klančnik
Faculty of MEchanical Engineering, University of Maribor, Slovenia
Verified email at um.si
Title
Cited by
Cited by
Year
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
942018
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
442015
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
422014
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
412020
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
412016
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
372010
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
322015
Vision-based sorting systems for transparent plastic granulate
T Peršak, B Viltužnik, J Hernavs, S Klančnik
Applied Sciences 10 (12), 4269, 2020
312020
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
302014
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
292021
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
292013
Intelligent prediction of milling strategy using neural networks
S Klancnik, J Balic, F Cus
Control and Cybernetics 39 (1), 9-24, 2010
292010
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
262021
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
262015
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
242018
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
242010
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
202010
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
202009
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
172021
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
172016
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