Vladimir Pucovsky

INFLUENCE OF DATA QUANTITY ON ACCURACY OF PREDICTIONS IN MODELING TOOL LIFE BY THE USE OF GENETIC ALGORITHMS

Pavel Kovač, Vladimir Pucovsky, Marin Gostimirovic, 2014 .

Multi-output fuzzy inference system for modeling cutting temperature and tool life in face milling

Vladimir Pucovsky, Marin Gostimirovic, Dragan Rodic, 2014 .

Theoretical Study of Tool Holder Self-excited Oscillation in Turning Processes Using a Nonlinear Model

Pavel Kovač, Vladimir Pucovsky, Branko Pejović, 2018 .

Modeling of Material Removal Rate in Edm Using Neural Fuzzy Systems

Milenko Sekulić, Pavel Kovač, Vladimir Pucovsky, 2013 .

Application of fuzzy logic and regression analysis for modeling surface roughness in face milliing

Vladimir Pucovsky, Marin Gostimirovic, Dragan Rodic, 2013, J. Intell. Manuf..

Fuzzy logic and sub-clustering approaches to predict main cutting force in high-pressure jet assisted turning

Milenko Sekulić, Vladimir Pucovsky, Dragan Rodic, 2020, J. Intell. Manuf..

Influence of Various Cutting Fluids on Energy Consumption during Turning

Pavel Kovač, Vladimir Pucovsky, Marian Tolnay, 2016 .

APPLICATION OF INTELLIGENT TECHNIQUES AND REGRESSION ANALYSIS FOR MODELLING CUTTING TEMPERATURE IN FACE MILLING

Milenko Sekulić, Pavel Kovač, Vladimir Pucovsky, 2015 .

PREDICTING OF MACHINING QUALITY IN ELECTRIC DISCHARGE MACHINING USING INTELLIGENT OPTIMIZATION TECHNIQUES

Pavel Kovač, Vladimir Pucovsky, Marin Gostimirovic, 2014 .

Evolutionary multi-objective optimization of energy efficiency in electrical discharge machining

Vladimir Pucovsky, Marin Gostimirovic, Miroslav Radovanovic, 2018, Journal of Mechanical Science and Technology.