Morteza Fayazi
Orcid: 0000-0002-5598-281X
According to our database1,
Morteza Fayazi
authored at least 15 papers
between 2017 and 2024.
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Bibliography
2024
Canalis: A Throughput-Optimized Framework for Real-Time Stream Processing of Wireless Communication.
ACM Trans. Reconfigurable Technol. Syst., December, 2024
2023
AnGeL: Fully-Automated Analog Circuit Generator Using a Neural Network Assisted Semi-Supervised Learning Approach.
IEEE Trans. Circuits Syst. I Regul. Pap., November, 2023
Open Information Extraction: A Review of Baseline Techniques, Approaches, and Applications.
CoRR, 2023
FuNToM: Functional Modeling of RF Circuits Using a Neural Network Assisted Two-Port Analysis Method.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
Proceedings of the IEEE Custom Integrated Circuits Conference, 2023
2022
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
Versa: A 36-Core Systolic Multiprocessor With Dynamically Reconfigurable Interconnect and Memory.
IEEE J. Solid State Circuits, 2022
A 507 GMACs/J 256-Core Domain Adaptive Systolic-Array-Processor for Wireless Communication and Linear-Algebra Kernels in 12nm FINFET.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022
2021
Applications of Artificial Intelligence on the Modeling and Optimization for Analog and Mixed-Signal Circuits: A Review.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
Versa: A Dataflow-Centric Multiprocessor with 36 Systolic ARM Cortex-M4F Cores and a Reconfigurable Crossbar-Memory Hierarchy in 28nm.
Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021
2020
Fully-Autonomous SoC Synthesis Using Customizable Cell-Based Analog and Mixed-Signal Circuits Generation.
Proceedings of the VLSI-SoC: Design Trends, 2020
Proceedings of the 28th IFIP/IEEE International Conference on Very Large Scale Integration, 2020
2019
2017
Structural relations between brain-behavioral systems, social anxiety, depression and internet addiction: With regard to revised Reinforcement Sensitivity Theory (r-RST).
Comput. Hum. Behav., 2017