An adaptive network-based fuzzy inference system (ANFIS) for the forecasting: The case of close price indices I Svalina, V Galzina, R Lujić, G Šimunović Expert systems with applications 40 (15), 6055-6063, 2013 | 130 | 2013 |
Surface roughness assessing based on digital image features G Simunovic, I Svalina, K Simunovic, T Saric, S Havrlisan, D Vukelic Advances in Production Engineering & Management 11 (2), 93, 2016 | 43 | 2016 |
Evolutionary neuro-fuzzy system for surface roughness evaluation I Svalina, G Šimunović, T Šarić, R Lujić Applied soft computing 52, 593-604, 2017 | 36 | 2017 |
Estimation of machining time for CNC manufacturing using neural computing T Saric, G Simunovic, K Simunovic, I Svalina International journal of simulation modelling 15 (4), 663-675, 2016 | 28 | 2016 |
Machined surface quality prediction models based on moving least squares and moving least absolute deviations methods I Svalina, K Sabo, G Šimunović The International Journal of Advanced Manufacturing Technology 57, 1099-1106, 2011 | 25 | 2011 |
THE ROLE OF ERP SYSTEM IN BUSINESS PROCESS AND EDUCATION. K Šimunović, G Šimunović, S Havrlišan, D Pezer, I Svalina Tehnicki vjesnik/Technical Gazette 20 (4), 2013 | 16* | 2013 |
Machined surface roughness prediction using adaptive neurofuzzy inference system I Svalina, G Simunovic, K Simunovic Applied artificial intelligence 27 (9), 803-817, 2013 | 14 | 2013 |
Comparison of the technological time prediction models G Šimunović, J Balič, T Šarić, K Šimunović, R Lujić, I Svalina Strojarstvo: časopis za teoriju i praksu u strojarstvu 52 (2), 137-145, 2010 | 10 | 2010 |
Modelling and prediction of surface roughness in CNC turning process using neural networks Đ Vukelić, K Šimunović, I Svalina, B Tadić, M Prica, G Šimunović Tehnički vjesnik 27 (6), 1923-1930, 2020 | 8 | 2020 |
Investigation of correlation between image features of machined surface and surface roughness I Svalina, K Šimunović, T Šarić Tehnički vjesnik 27 (1), 27-36, 2020 | 8 | 2020 |
Applying of AHP methodology and weighted properties method to the selection of optimum alternative of stock material K Šimunović, M Galović, G Šimunović, I Svalina ACTA Corviniensis Bulliten of Engineering, 65-70, 2009 | 4 | 2009 |
Adaptive Neuro-Fuzzy Inference System Model for Technological Parameters Prediction G ŠIMUNOVIĆ, T ŠARIĆ, I SVALINA Strojarstvo: časopis za teoriju i praksu u strojarstvu 53 (4), 2011 | 2 | 2011 |
Problems of software processing of acquired rotor intended for determining required dimensions D Turinski, I Svalina, R Lujić, T Šarić, G Šimunović, S Havrlišan Acta IMEKO 12 (3), 1-9, 2023 | 1 | 2023 |
Analysis of the problems of acquisition of digital photographs intended to determine the required dimensional accuracy of the product D Turinski, I Svalina, T Šarić, R Lujić, S Havrlišan Journal of Physics: Conference Series 2540 (1), 012009, 2023 | 1 | 2023 |
Possibilities of evaluating the dimensional acceptability of workpieces using computer vision I Svalina, D Turinski, I Grgić, S Havrlišan Tehnički glasnik 17 (1), 112-119, 2023 | 1 | 2023 |
Application of the Functional Flow Diagrams in a Design of the Level Crossing Hydraulic Barrier Drive M Karakašić, I Svalina, D Novoselović, I Samardžić, H Glavaš, R Đokić Tehnički glasnik 17 (4), 554-565, 2023 | | 2023 |
Primjena metode vibracija u tehnološkim procesima zavarivanja za smanjenje zaostalih naprezanja T Šarić, M Pavić, K Šimunović, S Havrlišan, G Šimunović, I Svalina Zavarivanje 2023 (66), 91-98, 2023 | | 2023 |
Elementi protupožarne zaštite u sustavu ventilacije D Novoselović, M Karakašić, I Svalina, B Mirela, I Samardžić | | 2023 |
KORIŠTENJE METODE VIBRACIJA U KOREKTIVNIM AKTIVNOSTIMA REKONSTRUKCIJE VAKUUM PEĆI T Šarić, M Pavić, K Šimunović, S Havrlišan, G Šimunović, I Svalina „STROJARSKE TEHNOLOGIJE U IZRADI ZAVARENIH KONSTRUKCIJA I PROIZVODA, SBZ …, 2023 | | 2023 |
PROBLEMS OF SOFTWARE PROCESSING OF DIGITAL PHOTOGRAPHY INTENDED FOR DETERMINING THE DIMENSIONAL ACCURACY OF A PRODUCT D Turinski, I Svalina, R Lujić, T Šarić, G Šimunović, S Havrlišan IMEKO TC11 & TC24 Joint Hybrid Conference, 17-22, 2022 | | 2022 |