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Zahra Ebrahimi
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2020 – today
- 2024
- [j8]Faraz Sasani, Mohammad Moghareh Dehkordi, Zahra Ebrahimi, Hakimeh Dustmohammadloo, Parisa Bouzari, Pejman Ebrahimi, Eniko Lencsés, Maria Fekete-Farkas:
Forecasting of Bitcoin Illiquidity Using High-Dimensional and Textual Features. Comput. 13(1): 20 (2024) - [j7]Zahra Ebrahimi, Akash Kumar:
GREEN: An Approximate SIMD/MIMD CGRA for Energy-Efficient Processing at the Edge. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(10): 2874-2887 (2024) - 2023
- [j6]Zahra Ebrahimi, Muhammad Zaid, Mark Wijtvliet, Akash Kumar:
RAPID: Approximate Pipelined Soft Multipliers and Dividers for High Throughput and Energy Efficiency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(3): 712-725 (2023) - 2022
- [j5]Zahra Ebrahimi, Dennis Klar, Mohammad Aasim Ekhtiyar, Akash Kumar:
Plasticine: A Cross-layer Approximation Methodology for Multi-kernel Applications through Minimally Biased, High-throughput, and Energy-efficient SIMD Soft Multiplier-divider. ACM Trans. Design Autom. Electr. Syst. 27(2): 16:1-16:33 (2022) - [c6]Fatemeh Salehi, Leila Mashhadi, Kamran Khazeni, Zahra Ebrahimi:
Management of Cancer Patients in the COVID-19 Crisis Using Telemedicine: A Systematic Review. pHealth 2022: 118-125 - [c5]Mahdi Yousefi, Leila Mashhadi, Ali Akbarisari, Zahra Ebrahimi:
Change Management in Hospitals: A Framework Analysis. pHealth 2022: 262-268 - [i2]Zahra Ebrahimi, Muhammad Zaid, Mark Wijtvliet, Akash Kumar:
RAPID: AppRoximAte Pipelined Soft Multipliers and Dividers for High-Throughput and Energy-Efficiency. CoRR abs/2206.13970 (2022) - 2021
- [c4]Zahra Ebrahimi, Akash Kumar:
BioCare: An Energy-Efficient CGRA for Bio-Signal Processing at the Edge. ISCAS 2021: 1-5 - 2020
- [j4]Zahra Ebrahimi, Mohammad Loni, Masoud Daneshtalab, Arash Gharehbaghi:
A review on deep learning methods for ECG arrhythmia classification. Expert Syst. Appl. X 7: 100033 (2020) - [c3]Zahra Ebrahimi, Salim Ullah, Akash Kumar:
LeAp: Leading-one Detection-based Softcore Approximate Multipliers with Tunable Accuracy. ASP-DAC 2020: 605-610 - [c2]Zahra Ebrahimi, Salim Ullah, Akash Kumar:
SIMDive: Approximate SIMD Soft Multiplier-Divider for FPGAs with Tunable Accuracy. ACM Great Lakes Symposium on VLSI 2020: 151-156 - [i1]Zahra Ebrahimi, Salim Ullah, Akash Kumar:
SIMDive: Approximate SIMD Soft Multiplier-Divider for FPGAs with Tunable Accuracy. CoRR abs/2011.01148 (2020)
2010 – 2019
- 2019
- [j3]Sajjad Tamimi, Zahra Ebrahimi, Behnam Khaleghi, Hossein Asadi:
An Efficient SRAM-Based Reconfigurable Architecture for Embedded Processors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(3): 466-479 (2019) - 2018
- [j2]Zeinab Seifoori, Zahra Ebrahimi, Behnam Khaleghi, Hossein Asadi:
Chapter Seven - Introduction to Emerging SRAM-Based FPGA Architectures in Dark Silicon Era. Adv. Comput. 110: 259-294 (2018) - 2017
- [j1]Zahra Ebrahimi, Behnam Khaleghi, Hossein Asadi:
PEAF: A Power-Efficient Architecture for SRAM-Based FPGAs Using Reconfigurable Hard Logic Design in Dark Silicon Era. IEEE Trans. Computers 66(6): 982-995 (2017) - 2014
- [c1]Ali Ahari, Behnam Khaleghi, Zahra Ebrahimi, Hossein Asadi, Mehdi Baradaran Tahoori:
Towards dark silicon era in FPGAs using complementary hard logic design. FPL 2014: 1-6
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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