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Faramarz Faghihi
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2020 – today
- 2022
- [j13]Faramarz Faghihi, Hany Alashwal, Ahmed A. Moustafa:
A Synaptic Pruning-Based Spiking Neural Network for Hand-Written Digits Classification. Frontiers Artif. Intell. 5: 680165 (2022) - [j12]Faramarz Faghihi, Siqi Cai, Ahmed A. Moustafa:
A neuroscience-inspired spiking neural network for EEG-based auditory spatial attention detection. Neural Networks 152: 555-565 (2022) - [c1]Faramarz Faghihi, Siqi Cai, Ahmed A. Moustafa, Hany Alashwal:
A Nonsynaptic Memory Based Neural Network for Hand-Written Digit Classification Using an Explainable Feature Extraction Method. ICISDM 2022: 69-75
2010 – 2019
- 2019
- [j11]Behrouz Alefy, Heidar Ali Shayanfar, Soudabeh Soleymani, Faramarz Faghihi:
Improvement in Two Adjacent Microgrids Frequency Using the AC-to-AC Converter Based on Sugeno Fuzzy Control Scheme. Int. J. Fuzzy Syst. 21(3): 782-792 (2019) - 2018
- [j10]Noorollah Fardad, Soodabeh Soleymani, Faramarz Faghihi:
Reduction of PMUs via hybrid PMU-RTU communication changeover in the case of cyberattack on vulnerable power transmission lines. Turkish J. Electr. Eng. Comput. Sci. 26(4): 1833-1846 (2018) - [j9]Noorollah Fardad, Soodabeh Soleymani, Faramarz Faghihi:
Cyber defense analysis of smart grid including renewable energy resources based on coalitional game theory. J. Intell. Fuzzy Syst. 35(2): 2063-2077 (2018) - [j8]S. V. Heidari, Soodabeh Soleymani, Faramarz Faghihi, Babak Mozafari:
Determining harmonic component contribution for consumer and distribution systems based on adaptive fuzzy kalman filter. J. Intell. Fuzzy Syst. 35(6): 6287-6299 (2018) - 2017
- [j7]Neda Hajibandeh, Faramarz Faghihi, Hossein Ranjbar, Hesam Kazari:
Classifications of disturbances using wavelet transform and support vector machine. Turkish J. Electr. Eng. Comput. Sci. 25: 832-843 (2017) - [j6]Faramarz Faghihi, Ahmed A. Moustafa:
Combined Computational Systems Biology and Computational Neuroscience Approaches Help Develop of Future "Cognitive Developmental Robotics". Frontiers Neurorobotics 11: 63 (2017) - [j5]Faramarz Faghihi, Ahmed A. Moustafa:
Sparse and burst spiking in artificial neural networks inspired by synaptic retrograde signaling. Inf. Sci. 421: 30-42 (2017) - [j4]Faramarz Faghihi, Ahmed A. Moustafa, Ralf Heinrich, Florentin Wörgötter:
A computational model of conditioning inspired by Drosophila olfactory system. Neural Networks 87: 96-108 (2017) - 2015
- [j3]Faramarz Faghihi, Ahmed A. Moustafa:
Impaired homeostatic regulation of feedback inhibition associated with system deficiency to detect fluctuation in stimulus intensity: a simulation study. Neurocomputing 151: 1248-1254 (2015) - 2013
- [j2]Faramarz Faghihi, Christoph Kolodziejski, André Fiala, Florentin Wörgötter, Christian Tetzlaff:
An information theoretic model of information processing in the Drosophila olfactory system: the role of inhibitory neurons for system efficiency. Frontiers Comput. Neurosci. 7: 183 (2013) - 2012
- [j1]Vahid Abbasi, Hossein Heydari, Faramarz Faghihi:
Heuristic mathematical formulations and comprehensive algorithm for optimal decision making for power system cabling. Sci. Iran. 19(3): 707-720 (2012)
Coauthor Index
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