Search Results - "Župerl, Uroš"

Achieving Maximum Smart Readiness Indicator Scores: A Financial Analysis with an In-Depth Feasibility Study in Non-Ideal Market Conditions.

Authors: Beras, Mitja Stępień, Krzysztof Kovačič, Miha et al.

Source: Buildings (2075-5309); Jun2025, Vol. 15 Issue 11, p1839, 41p

Developing an Alternative Calculation Method for the Smart Readiness Indicator Based on Genetic Programming and Linear Regression.

Authors: Beras, Mitja Brezočnik, Miran Župerl, Uroš et al.

Source: Buildings (2075-5309); May2025, Vol. 15 Issue 10, p1675, 36p

Optimization of Billet Cooling after Continuous Casting Using Genetic Programming—Industrial Study.

Authors: Kovačič, Miha Zupanc, Aljaž Vertnik, Robert et al.

Source: Metals (2075-4701); Jul2024, Vol. 14 Issue 7, p819, 12p

Rapid Assessment of Steel Machinability through Spark Analysis and Data-Mining Techniques.

Authors: Munđar, Goran Kovačič, Miha Brezočnik, Miran et al.

Source: Metals (2075-4701); Aug2024, Vol. 14 Issue 8, p955, 19p

Modeling of Tensile Test Results for Low Alloy Steels by Linear Regression and Genetic Programming Taking into Account the Non-Metallic Inclusions.

Authors: Kovačič, Miha Župerl, Uroš

Source: Metals (2075-4701); Aug2022, Vol. 12 Issue 8, p1343-1343, 17p

A Machine Vision Approach to Assessing Steel Properties through Spark Imaging.

Authors: Munđar, Goran Kovačič, Miha Župerl, Uroš

Source: Technical Journal / Tehnički Glasnik; 2025 Supplement, Vol. 19, p77-81, 5p

Development and Control of Virtual Industrial Process using Factory IO and MATLAB.

Authors: Munđar, Goran Kovačič, Miha Župerl, Uroš

Source: Technical Journal / Tehnički Glasnik; Sep2024, Vol. 18 Issue 3, p497-501, 5p

Artificial Neural Network System for Predicting Cutting Forces in Helical-End Milling of LaserDeposited Metal Materials.

Authors: Župerl, Uroš Kovačič, Miha

Source: Technical Journal / Tehnički Glasnik; Jun2023, Vol. 17 Issue 2, p223-230, 8p

Continuous caster final electromagnetic stirrers position optimization using genetic programming.

Authors: Kovačič, Miha Župerl, Uroš

Source: Materials & Manufacturing Processes. 2023, Vol. 38 Issue 16, p2009-2017. 9p.

Subjects: Mixing machinery, Ultrasonic testing, Logistic regression analysis, Genetic programming, Porosity

Geographic Terms: Slovenia

Model for Predicting the Machinability of Continuously Cast and Subsequently Rolled Steel Using the Artificial Neural Network.

Authors: Kovačič, Miha Salihu, Shpetim Župerl, Uroš

Source: Technical Journal / Tehnički Glasnik; Sep2021, Vol. 15 Issue 3, p381-386, 6p

Optimization of the Continuous Casting Process of Hypoeutectoid Steel Grades Using Multiple Linear Regression and Genetic Programming—An Industrial Study.

Authors: Brezocnik, Miran Župerl, Uroš

Source: Metals (2075-4701); Jun2021, Vol. 11 Issue 6, p972-972, 1p

Modeling and Optimization of Steel Machinability with Genetic Programming: Industrial Study.

Authors: Kovačič, Miha Salihu, Shpetim Gantar, Gašper et al.

Source: Metals (2075-4701); Mar2021, Vol. 11 Issue 3, p426-426, 1p

A Cyber-Physical System for Surface Roughness Monitoring in End-Milling.

Authors: Župerl, Uroš Čuš, Franci

Source: Journal of Mechanical Engineering / Strojniški Vestnik. 2019, Vol. 65 Issue 2, p67-77. 11p.

Prediction of Cutting Forces in Ball-End Milling of Multi-Layered Metal Materials.

Alternate Title: Napovedovanje rezalnih sil pri frezanju več-slojnih kovinskih materialov s krogelnim oblikovnim frezalom.

Authors: Župerl, Uroš Čuš, Franci Irgolič, Tomaž

Source: Journal of Mechanical Engineering / Strojniški Vestnik. 2016, Vol. 62 Issue 6, p340-350. 11p.

Algorithmic research on surface roughness in laser-melted claddings: A review.

Authors: Zhao, Changlong Zhang, Zihao Yu, Zice et al.

Source: Surface Engineering. Sep/Oct2024, Vol. 40 Issue 9/10, p933-944. 12p.

Surface Roughness Control Simulation of Turning Processes.

Alternate Title: Simulator sistema vodenja hrapavosti površine pri procesu struženja.

Authors: Čuš, Franci Župerl, Uroš

Source: Journal of Mechanical Engineering / Strojniški Vestnik. 2015, Vol. 61 Issue 4, p245-253. 9p.

An Intelligent Electro-Hydraulic Servo Drive Positioning.

Authors: Detiček, Edvard Župerl, Uroš

Source: Journal of Mechanical Engineering / Strojniški Vestnik. May2011, Vol. 57 Issue 5, p394-404. 11p. 1 Color Photograph, 7 Diagrams, 3 Graphs.

Real-Time Cutting Tool Condition Monitoring in Milling.

Alternate Title: Nadzor stanja rezalnega orodja v realnem Času pri rezkanju.

Authors: Čuš, Franci Župerl, Uroš

Source: Journal of Mechanical Engineering / Strojniški Vestnik. Feb2011, Vol. 57 Issue 2, p142-150. 9p. 2 Diagrams, 1 Chart, 4 Graphs.

Digitalisation and servitisation of machine tools in the era of Industry 4.0: a review.

Authors: Liu, Chao Zheng, Pai Xu, Xun

Source: International Journal of Production Research. Jun2023, Vol. 61 Issue 12, p4069-4101. 33p. 2 Color Photographs, 7 Diagrams, 9 Charts, 5 Graphs.

Subjects: Machine tool industry, Industry 4.0, Digital technology, Machine tools, Bibliometrics

ARTIFICIAL INTELLIGENCE APPROACH OF MODELING OF PM10 EMISSION CLOSE TO A STEEL PLANT.

Authors: Kovačič, Miha Senčič, Sandra Župerl, Uroš

Source: Proceedings on Quality. 2013, p305-310. 6p.

Subjects: Artificial intelligence, Particulate matter, Emission control, Steel industry, Air quality