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Hossein Pourmodheji
Hossein Pourmodheji
EECS York University
Verified email at cse.yorku.ca
Title
Cited by
Cited by
Year
Design of a direct conversion ultra low power ZigBee receiver RF front-end for wireless sensor networks
M Javadi, S Sheikhaei, AS Kashi, H Pourmodheji
Microelectronics Journal 44 (4), 347-353, 2013
182013
A multidisciplinary approach to high throughput nuclear magnetic resonance spectroscopy
H Pourmodheji, E Ghafar-Zadeh, S Magierowski
Sensors 16 (6), 850, 2016
162016
Learning to determine the quality of news headlines
A Omidvar, H Poormodheji, A An, G Edall
arXiv preprint arXiv:1911.11139, 2019
82019
Active nuclear magnetic resonance probe: A new multidiciplinary approach toward highly sensitive biomolecoular spectroscopy
H Pourmodheji, E Ghafar-Zadeh, S Magierowski
2015 IEEE International Symposium on Circuits and Systems (ISCAS), 473-476, 2015
62015
A novel approach to determining the quality of news headlines
A Omidvar, H Pourmodheji, A An, G Edall
Natural Language Processing in Artificial Intelligence—NLPinAI 2020, 227-245, 2021
32021
A CMOS differential receiver dedicated to nuclear magnetic resonance applications
H Pourmodheji, E Ghafar-Zadeh, S Magierowski
Analog Integrated Circuits and Signal Processing 91, 97-109, 2017
32017
Dual-path NMR receiver using double transceiver microcoils
H Pourmodheji, E Ghafar-Zadeh, S Magierowski
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
22015
GPU resource scheduling using CNN-based deep reinforcement learning
X Fan, Z Rashidi, B Ryu, H Pourmodheji, A An, J Liu, Y Hu
Proceedings of the 31st Annual International Conference on Computer Science …, 2021
12021
Differential nuclear magnetic resonance receiver: Design, implementation and experimental results
E Ghafar-Zadeh, H Pourmodheji, S Magierowski
2016 IEEE International Symposium on Circuits and Systems (ISCAS), 105-108, 2016
12016
Towards CMOS Nuclear Magnetic Resonance Spectroscopy: Design, Implementation and Experimental Results
H Pourmodheji
12015
TAMG: Topology-Aware Multi-GPU Allocation via Deep Reinforcement Learning
H Ayadi, JX Huang, A An, Y Shao, H Zhou, H Pourmodheji
Proceedings of the 33rd Annual International Conference on Computer Science …, 2023
2023
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