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Items where Author is "Ren, Qun"

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Number of items: 23.

B

Baron, L., Balazinski, M., & Ren, Q. (2011). Type2 TSK Fuzzy Logic System and its Type1 Counterpart. International Journal of Computer Applications, 20(6), 8-13. External link

Q

Qin, Z., Ren, Q., Baron, L., Balazinski, M., & Birglen, L. (2008, May). Joint friction identification for robots using TSK fuzzy system based on subtractive clustering [Paper]. Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2008), New York City, NY, United States. External link

R

Ren, Q., Achiche, S., Jemielniak, K., & Bigras, P. (2016, July). An Enhanced Adaptive Neural Fuzzy Tool Condition Monitoring for Turning Process [Paper]. IEEE International Conference on Fuzzy Systems (FUZZ 2016), Vancouver, B.C.. External link

Ren, Q., Baron, L., Balazinski, M., Botez, R., & Bigras, P. (2015). Tool wear assessment based on type-2 fuzzy uncertainty estimation on acoustic emission. Applied Soft Computing, 31, 14-24. External link

Ren, Q., Balazinski, M., Baron, L., Jemielniak, K., Botez, R., & Achiche, S. (2014). Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling. Information Sciences, 255, 121-134. External link

Ren, Q., Baron, L., Balazinski, M., & Jemielniak, K. (2013). Reliable Tool Life Estimation with Multiple Acoustic Emission Signal Feature Selection and Integration Based on Type-2 Fuzzy Logic. In Sadeghian, A., Mendel, J. M., & Tahayori, H. (eds.), Advances in Type-2 Fuzzy Sets and Systems (pp. 203-217). External link

Ren, Q., Balazinski, M., Jemielniak, K., Baron, L., & Achiche, S. (2013). Experimental and fuzzy modelling analysis on dynamic cutting force in micro milling. Soft Computing, 17(9), 1687-1697. External link

Ren, Q., Baron, L., Balazinski, M., & Jemielniak, K. (2013). Fuzzy cutting force modelling in micro-milling. Journal of Intelligent and Fuzzy Systems, 25(4), 1027-1035. External link

Ren, Q. (2012). Type-2 Takagi-Sugeno-Kang Fuzzy Logic System and Uncertainty in Machining [Ph.D. thesis, École Polytechnique de Montréal]. Available

Ren, Q., Baron, L., & Balazinski, M. (2012). Fuzzy Identification of Cutting Acoustic Emission With Extended Subtractive Cluster Analysis. Nonlinear Dynamics, 67(4), 2599-2608. External link

Ren, Q., Balazinski, M., & Baron, L. (2012). High-order interval type-2 Takagi-Sugeno-Kang fuzzy logic system and its application in acoustic emission signal modeling in turning process. International Journal of Advanced Manufacturing Technology, 63(9-12), 1057-1063. External link

Ren, Q., Baron, L., & Balazinski, M. (2011). Type-2 fuzzy modeling for acoustic emission signal in precision manufacturing. Modelling and Simulation in Engineering, 2011, 1-12. Available

Ren, Q., Balazinski, M., Baron, L., & Jemielniak, K. (2011). TSK fuzzy modeling for tool wear condition in turning processes: An experimental study. Engineering Applications of Artificial Intelligence, 24(2), 260-265. External link

Ren, Q., Baron, L., Balazinski, M., & Jemielniak, K. (2010, July). Acoustic emission signal feature analysis using type-2 fuzzy logic System [Paper]. Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2010), Toronto, Canada. External link

Ren, Q., Baron, L., Jemielniak, K., & Balazinski, M. (2010, July). Modelling of Dynamic Micromilling Cutting Forces Using Type-2 Fuzzy Rule-Based System [Paper]. IEEE International Conference on Fuzzy Systems, Barcelona, Spain. External link

Ren, Q., Baron, L., & Balazinski, M. (2009, June). Application of Type-2 fuzzy estimation on uncertainty in machining: an approach on acoustic emission during turning process [Paper]. 28th North American Fuzzy Information Processing Society Annual Conference. External link

Ren, Q., Baron, L., & Balazinski, M. (2009, August). Type-2 TSK Fuzzy filtering and uncertainty estimation for acoustic emission in precision manufacturing [Paper]. International Symposium on Computational Intelligence, Honolulu, Hawaii. External link

Ren, Q., Balazinski, M., & Baron, L. (2009, October). Uncertainty prediction for tool wear condition using type-2 TSK fuzzy approach [Paper]. IEEE International Conference on Systems, Man and Cybernetics, San Antonio, Texas, USA. External link

Ren, Q., Baron, L., & Balazinski, M. (2008, May). High order type-2 TSK fuzzy logic system [Paper]. Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2008), New York City, NY, United States. External link

Ren, Q., Balazinski, M., Baron, L., & Jemielniak, K. (2008, June). Tool condition monitoring using the TSK fuzzy approach based on subtractive clustering method [Paper]. 21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, (IEA/AIE 2008), Wroclaw, Poland. External link

Ren, Q., Qin, Z., Baron, L., Birglen, L., & Balazinski, M. (2007, June). Identification of rigid-body dynamics of robotic manipulators using type-2 fuzzy logic filter [Paper]. Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2007), San Diego, CA, United States. External link

Ren, Q. (2006). Type-2 Takagi-Sugeno-Kang fuzzy logic modeling using subtractive clustering [Master's thesis, École Polytechnique de Montréal]. Available

Ren, Q., Baron, L., & Balazinski, M. (2006, June). Type-2 Takagi-Sugeno-Kang Fuzzy Logic Modeling using Subtractive Clustering [Paper]. Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2006), Montréal, Québec. External link

List generated on: Mon Dec 9 09:33:05 2024 EST