Rodic Dragana,Sekulic Milenko,Savkovic Borislav S,Aleksic Andjelko A,Kosanovic Aleksandra,Blagojevic Vladislav A (2026) Gaussian Process Modeling of EDM Performance Using a Taguchi Design, ENG, vol. 7, br. 1, str. - (Article) 

Rodic Dragan Dj,Gostimirovic Marin P,Sekulic Milenko,Savkovic Borislav S,Aleksic Andjelko A (2025) Preliminary Investigation of Assisting Electrode EDM of Zirconium Ceramic, MACHINE AND INDUSTRIAL DESIGN IN MECHANICAL ENGINEERING, KOD 2024, vol. 174, br. , str. 482-490 (Proceedings Paper) 

Rodic Dragan Dj,Gostimirovic Marin P,Sekulic Milenko,Savkovic Borislav S,Aleksic Andjelko A (2023) Fuzzy Logic Approach to Predict Surface Roughness in Powder Mixed Electric Discharge Machining of Titanium Alloy, STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING, vol. 69, br. 9-10, str. 376-387 (Article) 

Rodic Dragan Dj,Gostimirovic Marin P,Sekulic Milenko,Savkovic Borislav S,Aleksic Andjelko A (2023) Study and Optimization Defect Layer in Powder Mixed Electrical Discharge Machining of Titanium Alloy, PROCESSES, vol. 11, br. 4, str. - (Article) 

Aleksic Andjelko A,Rodic Dragan Dj,Sekulic Milenko,Gostimirovic Marin P,Savkovic Borislav S (2022) Effect of cutting parameters on surface roughness in turning of CPM 10V steel, 2022 21ST INTERNATIONAL SYMPOSIUM INFOTEH-JAHORINA (INFOTEH), vol. , br. , str. - (Proceedings Paper) 

Gostimirovic Marin P,Madic Milos J,Sekulic Milenko,Rodic Dragan Dj,Aleksic Andjelko A (2022) A gradient-based optimal control problem in creep-feed grinding, INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, vol. 121, br. 7-8, str. 4777-4791 (Article) 

Rodic Dragan Dj,Gostimirovic Marin P,Sekulic Milenko,Aleksic Andjelko A,Madic Milos J (2020) Application of ANFIS for modeling and predicting the EDM surface roughness, 2020 19TH INTERNATIONAL SYMPOSIUM INFOTEH-JAHORINA (INFOTEH), vol. , br. , str. - (Proceedings Paper) 

Rodic Dragan Dj,Gostimirovic Marin P,Madic Milos J,Sekulic Milenko,Aleksic Andjelko A (2020) Fuzzy model-based optimal energy control during the electrical discharge machining, NEURAL COMPUTING & APPLICATIONS, vol. 32, br. 22, str. 17011-17026 (Article) 

