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Live Demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge.

C. Lammie, and M. Azghadi. ISCAS, page 1. IEEE, (2020)

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Haidar Rahimi

Beate Rahimi

Alireza Rahimi

Mohammad Rahimi

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A Novel Design for Quantum-dot Cellular Automata Cells and Full AddersM. Azghadi, O. Kavehei, and K. Navi. CoRR, (2012)Solving Traveling Salesman Problem Using Combinational Evolutionary Algorithm.M. Bonyadi, M. Azghadi, and H. Shah-Hosseini. AIAI, volume 247 of IFIP, page 37-44. Springer, (2007)Internet of Underwater Things and Big Marine Data Analytics - A Comprehensive Survey.M. Jahanbakht, W. Xiang, L. Hanzo, and M. Azghadi. IEEE Commun. Surv. Tutorials, 23 (2): 904-956 (2021)Complementary Metal-Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing.M. Azghadi, Y. Chen, J. Eshraghian, J. Chen, C. Lin, A. Amirsoleimani, A. Mehonic, A. Kenyon, B. Fowler, J. Lee and 1 other author(s). Adv. Intell. Syst., 2 (5): 2070050 (2020)Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks.C. Li, C. Lammie, X. Dong, A. Amirsoleimani, M. Azghadi, and R. Genov. CoRR, (2022)A lightweight Transformer-based model for fish landmark detection.A. Saleh, D. Jones, D. Jerry, and M. Azghadi. CoRR, (2022)Precise Robotic Weed Spot-Spraying for Reduced Herbicide Usage and Improved Environmental Outcomes - A Real-World Case Study.M. Azghadi, A. Olsen, J. Wood, A. Saleh, B. Calvert, T. Granshaw, E. Fillols, and B. Philippa. CoRR, (2024)Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks.Z. Cai, H. Kalatehbali, B. Walters, M. Azghadi, A. Amirsoleimani, and R. Genov. IEEE J. Emerg. Sel. Topics Circuits Syst., 13 (4): 1083-1093 (December 2023)Live Demonstration: Unsupervised Character Recognition with a FPGA Neuromorphic System.C. Lammie, T. Hamilton, and M. Azghadi. ISCAS, page 1-. IEEE, (2018)STDG: Fast and Lightweight SNN Training Technique Using Spike Temporal Locality.Z. Cai, H. Kalatehbali, B. Walters, M. Azghadi, A. Amirsoleimani, and R. Genov. BioCAS, page 1-5. IEEE, (2023)

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Disambiguation of "Azghadi, Mostafa Rahimi"

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Live Demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge.

Please choose a person to relate this publication to

Haidar Rahimi

Beate Rahimi

Alireza Rahimi

Mohammad Rahimi

Mohammad Rahimi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Azghadi, Mostafa Rahimi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Live Demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge.

Please choose a person to relate this publication to

Haidar Rahimi

Beate Rahimi

Alireza Rahimi

Mohammad Rahimi

Mohammad Rahimi

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Live Demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge.