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Maryam Hemmati
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HOG feature extractor hardware accelerator for real-time pedestrian detection
M Hemmati, M Biglari-Abhari, S Berber, S Niar
2014 17th Euromicro Conference on Digital System Design, 543-550, 2014
452014
Gas diagnosis by a quantitative assessment of the transient response of a capillary-attached gas sensor
F Hossein-Babaei, M Hemmati, M Dehmobed
Sensors and Actuators B: Chemical 107 (1), 461-467, 2005
402005
Adaptive vehicle detection for real-time autonomous driving system
M Hemmati, M Biglari-Abhari, S Niar
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019
142019
Adaptive real-time object detection for autonomous driving systems
M Hemmati, M Biglari-Abhari, S Niar
Journal of imaging 8 (4), 106, 2022
72022
Real-time multi-scale pedestrian detection for driver assistance systems
M Hemmati, M Biglari-Abhari, S Niar, S Berber
Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017
72017
Hardware Acceleration of Capsule Networks for Real-Time Applications
M Hemmati, ES Babette, J Shan, M Biglari-Abhari, S Niar
2024 27th Euromicro Conference on Digital System Design (DSD), 19-25, 2024
2024
Real-time Pedestrian Detection Using Resource Constrained Embedded Platforms–A Review
G Cocks, T Magbag, M Hemmati, I Kevin, K Wang
2023 IEEE Smart World Congress (SWC), 1-8, 2023
2023
Adaptive Embedded Systems for Autonomous Vehicles
M Hemmati
PhD Thesis-University of Auckland, 2019
2019
DSD 2024
D Fey, M Hemmati, ES Babette, J Shan
8.4 Applications of Reconfigurable Computing
M Hemmati, M Biglari-Abhari, S Niar
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