B

Belson, Bruce, and Philippa, Bronson (2022) Speeding up Machine Learning Inference on Edge Devices by Improving Memory Access Patterns using Coroutines. In: Proceedings of the IEEE 25th International Conference on Computational Science and Engineering. pp. 9-16. From: CSE 2022: IEEE 25th International Conference on Computational Science and Engineering, 9-11 December 2022, Wuhan, China.

H

Hashemi, Sara, Rahimi Azghadi, Mostafa, and Navi, Keivan (2019) Design and analysis of efficient QCA reversible adders. The Journal of Supercomputing, 75. pp. 2106-2125.

L

Lv, Zhihan, Ota, Kaoru, Lloret, Jaime, Xiang, Wei, and Bellavista, Paolo (2022) Complexity Problems Handled by Advanced Computer Simulation Technology in Smart Cities 2021. Complexity, 2022. 9847249.

Lammie, Corey, Xiang, Wei, and Rahimi Azghadi, Mostafa (2020) Training progressively Binarizing Deep Networks using FPGAs. In: Proceedings of the 2020 IEEE International Symposium on Circuits and Systems. From: ISCAS: 2020 IEEE International Symposium on Circuits and Systems, 10-21 October 2020, Seville, Spain.

Lammie, Corey, Xiang, Wei, and Azghadi, Mostafa Rahimi (2019) Accelerating deterministic and stochastic binarized neural networks on FPGAS using OpenCL. In: Procedings of the International Midwest Symposium on Circuits and Systems. pp. 626-629. From: MWSCAS 2019: IEEE 62nd International Midwest Symposium on Circuits and Systems, 4-7 August 2019, Dallas, TX, USA.

Lammie, Corey, Hamilton, Tara Julia, van Schaik, André, and Rahimi Azghadi, Mostafa (2019) Efficient FPGA implementations of pair and triplet-based STDP for neuromorphic architectures. IEEE Transactions on Circuits and Systems I: Regular Papers, 66 (4). pp. 1558-1570.

Lammie, Corey, and Azghadi, Mostafa Rahimi (2019) Stochastic computing for low-power and high-speed deep learning on FPGA. In: Proceedings of the IEEE International Symposium on Circuits and Systems. From: ISCAS 2019: IEEE International Symposium on Circuits and Systems, 26-29 May 2019, Sapporo, Japan.

T

Tse, Kim To (2022) Developmentally appropriate guidelines for technology augmented pre-schooler toys. Masters (Research) thesis, James Cook University.

Y

Yang, Shuangming, Wang, Haowen, Pang, Yanwei, Rahimi Azghadi, Mostafa, and Linares-Barranco, Bernabe (2024) NADOL: Neuromorphic Architecture for Spike-driven Online Learning By Dendrites. IEEE Transactions on Biomedical Circuits and Systems, 18 (1). pp. 186-199.