1 |
A fuzzy expert system for mitigation of risks and effective control of gas pressure reduction stations with a real application Nourian R, Mousavi SM, Raissi S Journal of Loss Prevention in The Process Industries, 59, 77, 2019 |
2 |
Method for assessing and improving the efficiency of agricultural biogas plants based on fuzzy logic and expert systems Djatkov D, Effenberger M, Martinov M Applied Energy, 134, 163, 2014 |
3 |
Classification of hematite types in iron ores through circularly polarized light microscopy and image analysis Gomes ODM, Iglesias JCA, Paciornik S, Vieira MB Minerals Engineering, 52, 191, 2013 |
4 |
Inroads to Predict in Vivo Toxicology-An Introduction to the eTOX Project Briggs K, Cases M, Heard DJ, Pastor M, Pognan F, Sanz F, Schwab CH, Steger-Hartmann T, Sutter A, Watson DK, Wichard JD International Journal of Molecular Sciences, 13(3), 3820, 2012 |
5 |
Development of a case-based reasoning prototype for cogeneration plant design Matelli JA, Bazzo E, da Silva JC Applied Energy, 88(9), 3030, 2011 |
6 |
Automatic recognition of hematite grains under polarized reflected light microscopy through image analysis Iglesias JCA, Gomes ODM, Paciornik S Minerals Engineering, 24(12), 1264, 2011 |
7 |
Hierarchical hybrid fuzzy strategy for column flotation control Nunez F, Tapia L, Cipriano A Minerals Engineering, 23(2), 117, 2010 |
8 |
Modeling and optimization of high chromium alloy wear in phosphate laboratory grinding mill with fuzzy logic and particle swarm optimization technique Kor M, Abkhoshk E, Tao D, Chen GL, Modarres H Minerals Engineering, 23(9), 713, 2010 |
9 |
Advice tool for early design stages of intelligent facades based on energy and visual comfort approach Ochoa CE, Capeluto IG Energy and Buildings, 41(5), 480, 2009 |
10 |
Visual information model based predictor for froth speed control in flotation process Nunez F, Cipriano A Minerals Engineering, 22(4), 366, 2009 |