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Arash Ahmadi
Researcher at University of Windsor
Publications - 193
Citations - 2072
Arash Ahmadi is an academic researcher from University of Windsor. The author has contributed to research in topics: Spiking neural network & Memristor. The author has an hindex of 18, co-authored 179 publications receiving 1520 citations. Previous affiliations of Arash Ahmadi include Islamic Azad University & Razi University.
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Journal ArticleDOI
Notch stress concepts for the fatigue assessment of welded joints – Background and applications
TL;DR: In this paper, two variants of the linear-elastic notch stress concept for welded structures, one for thick walled and one for thin walled, with the reference radius rref = 1.00mm, derived by Radaj.
Journal ArticleDOI
Biologically Inspired Spiking Neurons : Piecewise Linear Models and Digital Implementation
TL;DR: A set of piecewise linear spiking neuron models, which can reproduce different behaviors, similar to the biological neuron, both for a single neuron as well as a network of neurons are presented.
Journal ArticleDOI
Biologically Inspired Spiking Neurons: Piecewise Linear Models and Digital Implementation
TL;DR: In this paper, a set of piecewise linear spiking neuron models, which can reproduce different behaviors, similar to the biological neuron, both for a single neuron as well as a network of neurons, are investigated in terms of digital implementation feasibility and costs, targeting large scale hardware implementation.
Journal ArticleDOI
Digital Multiplierless Implementation of Biological Adaptive-Exponential Neuron Model
Shaghayegh Gomar,Arash Ahmadi +1 more
TL;DR: Hardware synthesis and physical implementations on a field-programmable gate array show that the proposed models can produce biological behavior of different types of neurons with higher performance and considerably lower implementation costs compared with the original model.
Proceedings ArticleDOI
Optimized implementation of memristor-based full adder by material implication logic
Mehri Teimoory,Amirali Amirsoleimani,Jafar Shamsi,Arash Ahmadi,Shahpour Alirezaee,Majid Ahmadi +5 more
TL;DR: An optimized memristor-based full adder design by material implication logic is presented, which needs 27 memristors and less area in comparison with typical CMOS-based 8-bit full adders.