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Mostafa Rahimi Azghadi
Mostafa Rahimi Azghadi
Altri nomiM R Azgahdi, SMR Azghadi
Associate Professor, Electronics & Computer Engineering, James Cook University
Email verificata su jcu.edu.au - Home page
Titolo
Citata da
Citata da
Anno
DeepWeeds: A multiclass weed species image dataset for deep learning
A Olsen, DA Konovalov, B Philippa, P Ridd, JC Wood, J Johns, W Banks, ...
Scientific reports 9 (1), 2058, 2019
4052019
Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey
M Jahanbakht, W Xiang, L Hanzo, M Rahimi Azghadi
IEEE Communications Surveys & Tutorials, 2021
3132021
A new quantum-dot cellular automata full-adder
K Navi, R Farazkish, S Sayedsalehi, MR Azghadi
Microelectronics Journal 41 (12), 820-826, 2010
3042010
Five-input majority gate, a new device for quantum-dot cellular automata
K Navi, S Sayedsalehi, R Farazkish, MR Azghadi
Journal of Computational and Theoretical Nanoscience 7 (8), 1546-1553, 2010
2622010
Hardware implementation of deep network accelerators towards healthcare and biomedical applications
MR Azghadi, C Lammie, JK Eshraghian, M Payvand, E Donati, ...
IEEE Transactions on Biomedical Circuits and Systems 14 (6), 1138-1159, 2020
1872020
A novel design for quantum-dot cellular automata cells and full adders
MR Azghadi, O Kavehei, K Navi
Journal of Applied Sciences 7 (22), 3460-3468, 2007
183*2007
Spike-based synaptic plasticity in silicon: design, implementation, application, and challenges
MR Azghadi, N Iannella, SF Al-Sarawi, G Indiveri, D Abbott
Proceedings of the IEEE 102 (5), 717-737, 2014
1582014
A hybrid cmos-memristor neuromorphic synapse
MR Azghadi, B Linares-Barranco, D Abbott, PHW Leong
IEEE transactions on biomedical circuits and systems 11 (2), 434-445, 2017
1472017
Neuromorphic context-dependent learning framework with fault-tolerant spike routing
S Yang, J Wang, B Deng, MR Azghadi, B Linares-Barranco
IEEE transactions on neural networks and learning systems 33 (12), 7126-7140, 2021
1442021
Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing
M Rahimi Azghadi, YC Chen, JK Eshraghian, J Chen, CY Lin, ...
Advanced Intelligent Systems, 1900189, 2020
1372020
Population-Based Optimization Algorithms for Solving the Travelling Salesman Problem
MR Bonyadi, MR Azghadi, H Shah-hosseini
Traveling Salesman Problem, 1-34, 2008
129*2008
CORDIC-SNN: On-FPGA STDP learning with izhikevich neurons
M Heidarpur, A Ahmadi, M Ahmadi, MR Azghadi
IEEE Transactions on Circuits and Systems I: Regular Papers 66 (7), 2651-2661, 2019
1242019
CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning
S Yang, J Wang, N Zhang, B Deng, Y Pang, MR Azghadi
IEEE transactions on neural networks and learning systems, 2021
1212021
Automated machine learning for healthcare and clinical notes analysis
A Mustafa, M Rahimi Azghadi
Computers 10 (2), 24, 2021
1122021
Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge.
C Lammie, A Olsen, T Carrick, MR Azghadi
IEEE Access 7, 51171-51184, 2019
1122019
A novel low-power full-adder cell with new technique in designing logical gates based on static CMOS inverter
K Navi, V Foroutan, MR Azghadi, M Maeen, M Ebrahimpour, M Kaveh, ...
Microelectronics Journal 40 (10), 1441-1448, 2009
1012009
Restoring and non-restoring array divider designs in quantum-dot cellular automata
S Sayedsalehi, MR Azghadi, S Angizi, K Navi
Information sciences 311, 86-101, 2015
912015
Computer vision and deep learning for fish classification in underwater habitats: A survey
A Saleh, M Sheaves, M Rahimi Azghadi
Fish and Fisheries 23 (4), 977-999, 2022
832022
MemTorch: An open-source simulation framework for memristive deep learning systems
C Lammie, W Xiang, B Linares-Barranco, MR Azghadi
Neurocomputing 485, 124-133, 2022
812022
SAM: A Unified Self-Adaptive Multicompartmental Spiking Neuron Model for Learning with Working Memory
S Yang, T Gao, J Wang, B Deng, MR Azghadi, T Lei, B Linares-Barranco
Frontiers in Neuroscience, 467, 2022
742022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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