WebOct 28, 2024 · Humans are remarkably efficent at recognizing objects. Understanding how the brain performs object recognition has been challenging. Our understanding has been advanced substantially in recent years with the development of multivariate decoding methods. Most start-of-the-art decoding procedures, make use of the ‘mean’ neural … WebJan 15, 2015 · DOI: 10.22436/JMCS.014.01.08 Corpus ID: 149298115; Computational Model Of Social Intelligence Based On Emotional Learning In The Amygdala @inproceedings{Falahiazar2015ComputationalMO, title={Computational Model Of Social Intelligence Based On Emotional Learning In The Amygdala}, author={Alireza Falahiazar …
Europe PMC
WebSaeed Setayeshi Medical Rad Eng Dept, Amirkabir University of Technology Verified email at aut.ac.ir Soo-Young Lee Professor of Electrical Engineering, KAIST Verified email at kaist.ac.kr Sara Motamed Department of Computer Engineering, Fouman and Shaft Branch, Islamic Azad University, Fouman, Iran Verified email at fshiau.ac.ir WebMay 13, 2024 · Mahdi Mosleh, Saeed Setayeshi, Behrang Barekatain & Mohammad Mosleh. Faculty of Energy Engineering and Physics, Amirkabir University of Technology, Tehran, … tai chi 16 sword
Speech Emotion Recognition Based on Learning Automata in …
WebApr 1, 2005 · Engineering. 2008 American Control Conference. 2008. TLDR. This paper proposes to use an indirect adaptive control scheme in which a single layer second order differential neural network achieves the on-line identification based only on three variables: the external reactivity, the fuel temperature, and the neutron power. 7. WebApr 1, 2024 · Saeed Setayeshi. Department of Energy Engineering and Physics, Medical Radiation Engineering Group, Amirkabir University of Technology, Tehran, Iran. Search for more papers by this author. Oliver Blanck, Oliver Blanck. Department of Radiation Oncology, University Medical Center Schleswig-Holstein, Kiel, Germany. WebSep 4, 2024 · Nowadays, multiphase fluid flowmetry is of great importance in the industry. The most important parameter required for multi-phase fluid flowmeter is the volume fraction of each phase. In this study, three flow regimes (annular, stratified and homogeneous) for two-phase (liquid–gas) as well as three-phase (liquid–liquid–gas) to … tai chi 108 form yang style