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ORCIDFarzad Shahabi
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2020 – today
- 2024
[j3]Glenn Fernandes
, Jiayi Zheng, Mahdi Pedram, Christopher Romano, Farzad Shahabi, Blaine Rothrock, Thomas Cohen, Helen Zhu, Tanmeet S. Butani, Josiah D. Hester, Aggelos K. Katsaggelos, Nabil Alshurafa:
HabitSense: A Privacy-Aware, AI-Enhanced Multimodal Wearable Platform for mHealth Applications. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(3): 101:1-101:48 (2024)- 2022
- [j2]Shibo Zhang, Yaxuan Li, Shen Zhang, Farzad Shahabi, Stephen Xia, Yu Deng, Nabil Alshurafa:
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances. Sensors 22(4): 1476 (2022) - [c3]Farzad Shahabi, Yang Gao, Nabil Alshurafa:
ActiveSense: A Novel Active Learning Framework for Human Activity Recognition. PerCom Workshops 2022: 224-229 - 2021
- [j1]Adel Aldalbahi, Mohammed A. Jasim, Farzad Shahabi, Asim Mazin, Nazli Siasi, Diogo Oliveira:
Deep Learning for Primary Sector Prediction in FR2 New Radio Systems. IEEE Access 9: 157522-157539 (2021) - [c2]Afshin Balal, Farzad Shahabi:
Designing and Simulation a Reliable Standalone Solar/wind Hybrid System. ICCCNT 2021: 1-5 - [c1]Afshin Balal, Farzad Shahabi:
Ltspice Analysis of Double- Inductor Quadratic Boost Converter in Comparison with Quadratic Boost and Double Cascaded Boost Converter. ICCCNT 2021: 1-6 - [i1]Shibo Zhang, Yaxuan Li, Shen Zhang, Farzad Shahabi, Stephen Xia, Yu Deng, Nabil Alshurafa:
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances. CoRR abs/2111.00418 (2021)
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