S. Klančnik

发表

OBSTACLE DETECTION WITH ACTIVE LASER TRIANGULATION

J. Balic, S. Klančnik, 2007 .

Multi-objective optimization of the turning process using gravitational search algorithm (GSA) and NSGA-II approach

Miran Brezocnik, Jože Balič, Simon Klancnik, 2016 .

Classifying Parkinson’s Disease Based on Acoustic Measures Using Artificial Neural Networks

Mirko Ficko, Miran Brezocnik, Lucijano Berus, 2018, Sensors.

A reverse engineering technique for creating virtual robots

Miran Brezocnik, Karl Gotlih, Simon Brezovnik, 2009 .

Intelligent Optimization Methods for Industrial Storage Systems

Mirko Ficko, Miran Brezocnik, Simon Brezovnik, 2012 .

Optimization of Chaboche Material Parameters with a Genetic Algorithm

S. Klančnik, Nejc Dvoršek, Iztok Stopeinig, 2023, Materials.

MODELLING OF A TURNING PROCESS USING THE GRAVITATIONAL SEARCH ALGORITHM

Miran Brezocnik, Joze Balic, Simon Klancnik, 2014 .

Particle swarm optimization approach for modelling a turning process

Joze Balic, Zoran Jurković, Tomaz Irgolic, 2014 .

Intelligent design of an unconstrained layout for a flexible manufacturing system

Mirko Ficko, Simon Brezovnik, Ivo Pahole, 2010, Neurocomputing.

Vision-Based Sorting Systems for Transparent Plastic Granulate

Jernej Hernavs, Tadej Peršak, Branka Viltužnik, 2020, Applied Sciences.

Prediction of Surface Roughness of an Abrasive Water Jet Cut Using an Artificial Neural Network

M. Ficko, S. Klančnik, D. Begic-Hajdarevic, 2021, Materials.

Modeling and Design of Experiments of Laser Cladding Process by Genetic Programming and Nondominated Sorting

Miran Brezocnik, Joze Balic, Simon Klancnik, 2015 .

Intelligent CAD/CAM System for Programming of CNC Machine Tools

Miran Brezocnik, Joze Balic, Simon Klancnik, 2016 .

Comparison of artificial neural network, fuzzy logic and genetic algorithm for cutting temperature and surface roughness prediction during the face milling process

Pavel Kovač, Dragan Rodic, S. Klancnik, 2020 .

Automatic Identification of Tool Wear Based on Thermography and a Convolutional Neural Network during the Turning Process

Mirko Ficko, Simon Klancnik, Nika Brili, 2021, Sensors.

Tool Condition Monitoring of the Cutting Capability of a Turning Tool Based on Thermography

Mirko Ficko, Nika Brili, Simon Klančnik, 2021, Sensors.

COMPUTER-BASED WORKPIECE DETECTION ON CNC MILLING MACHINE TOOLS USING OPTICAL CAMERA AND NEURAL NETWORKS

Simon Klancnik, Jernej Šenveter, S. Klančnik, 2010 .

Feature extraction from CAD model for milling strategy prediction

Jože Balič, Simon Brezovnik, Simon Klancnik, 2008 .

Intelligent prediction of milling strategy using neural networks

Joze Balic, Franc Cus, Simon Klancnik, 2010 .

Intelligent system for prediction of mechanical properties of material based on metallographic images

Mirko Ficko, Joze Balic, Simon Klancnik, 2015 .