Showing results 1 to 20 of 63
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| Issue Date | Title | Author(s) |
| 1-Jan-2018 | Analysis and modeling of the effects of process parameters on specific cutting energy in abrasive water jet cutting | Janković, Predrag ; Madić, Miloš ; Petković D.; Radovanović, Miroslav |
| 1-Jan-2014 | Analysis of correlations of multiple-performance characteristics for optimization of CO<inf>2</inf> laser nitrogen cutting of AISI 304 stainless steel | Madić, Miloš ; Radovanović, Miroslav ; Trajanović, Miroslav ; Manić, Miodrag |
| 14-Mar-2013 | Analysis of the heat affected zone in CO<inf>2</inf> laser cutting of stainless steel | Madić, Miloš ; Radovanović, Miroslav |
| 1-Dec-2015 | ANN modeling of kerf taper angle in CO<inf>2</inf>laser cutting and optimization of cutting parameters using Monte Carlo method | Madić, Miloš ; Radovanović, Miroslav ; Gostimirović M. |
| 1-Jan-2014 | Application of multi-stage Monte Carlo method for solving machining optimization problems | Madić, Miloš ; Kovačević, Milan ; Radovanović, Miroslav |
| 1-Jun-2013 | Application of RCGA-ANN approach for modeling kerf width and surface roughness in CO<inf>2</inf> laser cutting of mild steel | Madić, Miloš ; Radovanović, Miroslav |
| 1-Apr-2017 | Application of the performance selection index method for solving machining MCDM problems | Petković D.; Madić, Miloš ; Radovanović, Miroslav ; Gečevska V. |
| 1-Jan-2016 | Application of the ROV method for the selection of cutting fluids | Madić, Miloš ; Radovanović, Miroslav ; Manić, Miodrag |
| 15-Sep-2018 | An approach for robust decision making rule generation: Solving transport and logistics decision making problems | Petrović G.; Madić, Miloš ; Antucheviciene J. |
| 1-Dec-2012 | An artificial intelligence approach for the prediction of surface roughness in Co<inf>2</inf> laser cutting | Madić, Miloš ; Radovanović, Miroslav |
| 1-Jan-2014 | Artificial intelligence model for the prediction of cut quality in abrasive water jet cutting | Madić, Miloš ; Janković, Predrag ; Slatineanu L.; Radovanović, Miroslav |
| 5-Jun-2013 | An artificial neural network approach for analysis and minimization of HAZ in CO<inf>2</inf> laser cutting of stainless steel | Madić, Miloš ; Brabie G.; Radovanović, Miroslav |
| 1-Jan-2010 | Assessing the sensitivity of the artificial neural network to experimental noise: A case study | Madić, Miloš ; Marinković V. |
| 1-Jan-2016 | Comparison of fuzzy logic, regression and ann laser kerf width models | Madić, Miloš ; Ćojbašić, Žarko ; Radovanović, Miroslav |
| 1-Dec-2019 | Comparison of three fuzzy MCDM methods for solving the supplier selection problem | Petrović G.; Mihajlović J.; Ćojbašić, Žarko ; Madić, Miloš ; Marinković, Dragan |
| 1-Dec-2012 | Correlation between surface roughness characteristics in CO<inf>2</inf> laser cutting of mild steel | Madić, Miloš ; Radovanović, Miroslav ; Nedić B. |
| 28-Jun-2012 | Cutting parameters optimization for surface roughness in turning operation of polyethylene (PE) using Taguchi method | Lazarević D.; Madić, Miloš ; Janković, Predrag ; Lazarević, Anđela |
| 1-Jan-2015 | Detailed study on fusion characteristics of rigid poly(vinyl chloride) nanocomposites: The comparison of using multiple regression analysis and artificial neural network | Moghri M.; Shamaee H.; Tavana R.; Madić, Miloš ; Shukla D. |
| 1-Mar-2017 | Determination of laser cutting process conditions using the preference selection index method | Madić, Miloš ; Antucheviciene J.; Radovanović, Miroslav ; Petković D. |
| 1-Jan-2016 | Determination of manufacturing process conditions by using MCDM methods: Application in laser cutting | Madić, Miloš ; Antuchevičienė J.; Radovanović, Miroslav ; Petković D. |