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Research outputs

Prediction of surface roughness in the ball-end milling process using response surface methodology, genetic algorithms, and grey wolf optimizer algorithm   [2018]

Sekulić, Milenko  ; Pejic, V.; Brezocnik, M.; Gostimirović, Marin ; Hadžistević, Miodrag  

Surface roughness assessing based on digital image features   [2016]

Simunovic, G.; Svalina, I.; Simunovic, K.; Saric, T.; Havrlisan, S.; Vukelić, Đorđe  

Business plan feedback for cost effective business processes   [2016]

Ivanišević, Andrea  ; Katić, Ivana  ; Buchmeister, B.; Leber, M.

The most commonly used Industry 4.0 technologies in manufacturing: A systematic literature review   [2025]

Rajkovic, T  ; Makajic-Nikolic, Dragana  ; Lecic-Cvetkovic, Danica M  ; Anicic, N  

Exploring the Link Between Project Management Approach and Project Success Dimensions: A Structural Model approach   [2021]

Ćirić, Danijela  ; Delić, Milan  ; Lalić, Bojan  ; Gračanin, Danijela  ; Lolić, Teodora  

Comparison of artificial neural network, fuzzy logic and genetic algorithm for cutting temperature and surface roughness prediction during the face milling process   [2020]

Savković, Borislav  ; Kovač, Pavel ; Rodić, Dragan  ; Štrbac, Branko  ; Klančnik, Simon

Modelling surface roughness in finish turning as a function of cutting tool geometry using the response surface method, Gaussian process regression and decision tree regression   [2022]

Vukelić, Đorđe  ; Simunović, Katica; Kanović, Željko  ; Šarić, Tomislav; Doroslovacki, Ksenija  ; Prica, Miljana  ; Simunović, Goran

Advanced risk assessment in reverse supply chain processes: A case study in Republic of Serbia   [2019]

Aleksic, A.  ; Runic, Ristic M.; Komatina, Nikola  ; Tadić, Danijela  

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