Search Results - "Kovačič, Miha"

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

Selective Laser Melting: A Novel Method for Surface Roughness Analysis.

Authors: Babič, Matej Kovačič, Miha Fragassa, Cristiano et al.

Source: Journal of Mechanical Engineering / Strojniški Vestnik. 2024, Vol. 70 Issue 7/8, p313-324. 12p.

Electric arc modeling of the EAF using differential evolution algorithm.

Authors: Stopar, Klemen Kovačič, Miha Kitak, Peter et al.

Source: Materials & Manufacturing Processes. 2017, Vol. 32 Issue 10, p1189-1200. 12p.

Subjects: Electric arc, Differential evolution, Evolutionary algorithms, Steel industry, Energy consumption

CAD Based Electric Transporter Path Planning and Production Storage Optimization Using Genetic Algorithm - Industrial Case Study.

Authors: Kovačič, Miha Đukić, Goran Gajšek, Brigita et al.

Source: Technical Journal / Tehnički Glasnik; Jun2020, Vol. 14 Issue 2, p174-179, 6p

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

Decreasing of guides changing with pass design optimization on continuous rolling mill using a genetic algorithm.

Authors: Gračnar, Anemari Kovačič, Miha Brezočnik, Miran

Source: Materials & Manufacturing Processes. 2020, Vol. 35 Issue 6, p663-667. 5p.

Subjects: Rolling-mills, Genetic algorithms, Hot rolling, Leaf springs

Geographic Terms: Europe

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

Genetic Algorithm Rolling Mill Layout Optimization.

Authors: Kovačič, Miha Rožej, Urban Brezočnik, Miran

Source: Materials & Manufacturing Processes. Jul2013, Vol. 28 Issue 7, p783-787. 5p.

Subjects: Štore Steel Ltd., Rolling-mills, Industrial capacity, Genetic algorithms, Theory of constraints, Industrial efficiency

Geographic Terms: Slovenia

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

Comparison of Optimization-Regulation Algorithms for Secondary Cooling in Continuous Steel Casting.

Authors: Brezina, Michal Mauder, Tomas Klimes, Lubomir et al.

Source: Metals (2075-4701); Feb2021, Vol. 11 Issue 2, p237, 1p

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

Modeling of Total Decarburization of Spring Steel with Genetic Programming.

Authors: Kovačič, Miha¹ (AUTHOR) kpatra@iitp.ac.in

Source: Materials & Manufacturing Processes. 2015, Vol. 30 Issue 4, p434-443. 10p.

Subjects: Decarburization of steel, Springs (Mechanisms), Carburization, Genetic programming, Metal microstructure, Surface defects

Genetic Algorithm-Based Batch Filling Scheduling in the Steel Industry.

Authors: Kovačič, Miha Šarler, Božidar

Source: Materials & Manufacturing Processes. Mar2011, Vol. 26 Issue 3, p464-474. 11p. 3 Diagrams, 15 Charts.

Subjects: Genetic algorithms, Steel industry, Manufacturing processes, Mathematical optimization, Production scheduling