Monday, 22 January 2018
امروز: دوشنبه، 2 بهمن 1396
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    بازدید امروز:2
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    کتب و مقالات علمی
    Journals 1. Torabi A.J., et al, “Sequential Fuzzy Clustering Based Dynamic Fuzzy Neural Network for Fault Diagnosis and Prognosis”, Neurocomputing, 2016 2. Safarnejadian, Torabi, Asad, “A Hierarchical Identification Method for SISO Fractional-order State-space Systems” The Modares Journal of Electrical Engineering 13 (4), 17-28 3. Torabi A.J., et al, “Application of Clustering Methods for Online Tool Condition Monitoring in High Speed Milling Processes”, IEEE Systems Journal, 2015 4. E. Yousefi, M. Hatami, and A. Torabi Jahromi, “All-optical ternary signal processing using uniform nonlinear chalcogenide fiber Bragg gratings,” Journal. Optical. Society of America. B, vol. 32, no. 7, pp. 1471–1478, Jul. 2015. 5. Torabi A.J., et al, "General-Fuzzy-Automata-Based Modeling and Control: Intelligent Selective Packet Discarding”, submitted to IEEE Systems Journal, 2015 6. M. Asad, B. Safarinejadian, A. Torabi Jahromi, "Multiple Input Multiple Output Fractional Order State Space Canonical Model Identication", Submitted to Journal of Computational and Nonlinear Dynamics, 2015 7. Torabi A.J., et al, “On the Application of Hidden Markov Models for Ball-nose End-milling Processes”, submitted to the Journal of Engineering Letters, 2015 8. A. J. Torabi, M. J. Er, X. Li, B. S. Lim, L. Zhai, R. J. Oentaryo, G. O. Peen, and J. M. Zurada, “A Survey on Artificial Intelligence-Based Modeling Techniques for High Speed Milling Processes,” IEEE Systems Journal, vol. Early Access Online, 2013. 9. H. Nejati, E. Bayat, A. J. Torabi, and R. Maghareh, “Enhancement of Template-Based Face Detection by Belief Propagation in Ordered Component Search,” in Recent Advances in Computer Science and Information Engineering, vol. 124, Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp. 693–698. 10. Mahardhika Pratama, M. J. Er, X. Li, L. San, J. O. Richard, L.-Y. Zhai, A. Torabi, and I. Arifin, “Genetic Dynamic Fuzzy Neural Network (GDFNN) for Nonlinear System Identification,” in Advances in Neural Networks – Book Chapter 2011, pp. 525–534. Conferences 1. X. Li, M. J. Er, H. Ge, O. P. Gan, S. Huang, L. Y. Zhai, S. Linn, and A. J. Torabi, “Adaptive Network Fuzzy Inference System and support vector machine learning for tool wear estimation in high speed milling processes,” in IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, 2012, pp. 2821–2826. 2. Torabi A.J., et al, “Application of Classical Clustering Methods for Tool Condition Monitoring in High Speed Milling Processes”, in Proceedings of 7th IEEE Conference on Industrial Electronics and Applications (ICIEA July 2012). 3. Torabi A.J., et al, “Application of Speeded Up Fuzzy C-Means Clustering for Online Tool Condition Monitoring in High Speed Milling Processes”, Accepted at 21st IEEE International Symposium on Industrial Electronics (ISIE May 2012). 4. Torabi A.J., et al “Flute based analysis of ball-nose milling signals using continuous wavelet analysis features” in proceedings of 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010, 2010. 5. Torabi A.J., et al, “Fuzzy clustering of wavelet features for tool condition monitoring in high speed milling process” in proceedings of the Annual Conference of the Prognostics and Health Management Society 2010, Portland, Oregon, USA, October 2010. 6. Torabi A.J., et al, "Hidden Markov Model for Ball-Nose Tool Condition Monitoring" in proceedings of the Postgraduate Student Conference AOTULE 2010, Indonesia, Bandung, Nov 2010 7. L. San, M.J. Er, X. Li, L.Y. Zhai and A.J. Torabi, “An Enhanced Online Self-organizing Fuzzy Neural Network”, In proceedings of 11th International Conference on Control, Automation, Robotics and Vision (ICARCV), 7-10 Dec. 2010, Singapore. 8. L.Y. Zhai, M.J. Er, X. Li, B.S. Lim, S. Huang, J.H. Zhou, L. San and A.J. Torabi, “Intelligent Monitoring of Surface Integrity and Cutter Degradation in High-speed Milling Processes”, In proceedings of Annual Conference of the Prognostics and Health Management Society 2010, October 10-16, 2010, Portland, Oregon, USA. 9. A.J. Torabi, et al, “A survey on artificial intelligence technologies in modeling of high speed end-milling processes”. AIM 2009. IEEE/ASME International Conference on, pages 320–325, Singapore 2009. 10. Torabi A.J., et al, "Intelligent Selective Packet Discarding using General Fuzzy Automata". IEEE SMC (Systems Man and Cybernetics) 2008 conference, October 2008 Singapore 11. Nejati H., Zamani M., Torabi A.J., et al, “Toolbox for Interval Type-2 Fuzzy Logic Systems” 11th Joint Conference on Information Science, Shenzhen - China 12. Torabi A.J., et al “Representation of discrete time LTI/LTV systems using general fuzzy automata” Intelligent Sensors, Sensor Networks and Information Processing, 2008. ISSNIP 2008. International Conference on, 2008, pp. 581-586. 13. Torabi A.J., et al, “Intelligent Operation Evaluation of Data Transfer Links Using General Fuzzy Automata and Its Usage in Congestion Control”, International IKT2007 (Information and Knowledge Technology) conference hold in November 2007 Mashad – Iran

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