Sayed Alireza Sadrossadat

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 12

Top Topics

Nonlinear Dynamic Systems

Polynomial Regression

Hebbian Learning

Top Venues

IEEE Trans. Circuits Syst. I Regul. Pap.

Int. J. Circuit Theory Appl.

Publications

Fatemeh Charoosaei, Amin Faraji, Sayed Alireza Sadrossadat, Ali Mirvakili, Weicong Na, Feng Feng, Qi-Jun Zhang
High-Speed Nonlinear Circuit Macromodeling Using Hybrid-Module Clockwork Recurrent Neural Network. IEEE Trans. Circuits Syst. I Regul. Pap. 71 (2) (2024)
Maedeh Azodi, Sayed Alireza Sadrossadat, Yvon Savaria
Nonlinear Circuit Macromodeling Using New Heterogeneous-Layered Deep Clockwork Recurrent Neural Network. IEEE Access 12 (2024)
Saeedeh Zebhi, Sayed Alireza Sadrossadat, Weicong Na, Qi-Jun Zhang
Macromodeling of Nonlinear High-Speed Circuits Using Novel Hybrid Bidirectional High-Order Deep Recurrent Neural Network. IEEE Trans. Circuits Syst. I Regul. Pap. 71 (8) (2024)
Sayed Alireza Sajjadi, Sayed Alireza Sadrossadat, Ali Moftakharzadeh, Morteza Nabavi, Mohamad Sawan
DNN-Based Optimization to Significantly Speed Up and Increase the Accuracy of Electronic Circuit Design. IEEE Trans. Circuits Syst. I Regul. Pap. 71 (3) (2024)
Amin Faraji, Sayed Alireza Sadrossadat, Jing Jin, Weicong Na, Feng Feng, Qi-Jun Zhang
Hybrid Batch-Normalized Deep Feedforward Neural Network Incorporating Polynomial Regression for High-Dimensional Microwave Modeling. IEEE Trans. Circuits Syst. I Regul. Pap. 71 (3) (2024)
Mostafa Noohi, Amin Faraji, Sayed Alireza Sadrossadat, Ali Mirvakili, Ali Moftakharzadeh
Modeling and implementation of a novel active voltage balancing circuit using deep recurrent neural network with dropout regularization. Int. J. Circuit Theory Appl. 51 (5) (2023)
Amin Faraji, Sayed Alireza Sadrossadat, Weicong Na, Feng Feng, Qi-Jun Zhang
A New Macromodeling Method Based on Deep Gated Recurrent Unit Regularized With Gaussian Dropout for Nonlinear Circuits. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (7) (2023)
Amin Faraji, Sayed Alireza Sadrossadat, Mahdi Yazdian Dehkordi, Morteza Nabavi, Yvon Savaria
A Hybrid Approach Based on Recurrent Neural Network for Macromodeling of Nonlinear Electronic Circuits. IEEE Access 10 (2022)
Zohreh Naghibi, Sayed Alireza Sadrossadat, Saeed Safari
Adjoint recurrent neural network technique for nonlinear electronic component modeling. Int. J. Circuit Theory Appl. 50 (4) (2022)
Mostafa Noohi, Ali Mirvakili, Sayed Alireza Sadrossadat
Cover Image. Int. J. Circuit Theory Appl. 49 (12) (2021)
Mostafa Noohi, Ali Mirvakili, Sayed Alireza Sadrossadat
Modeling and implementation of nonlinear boost converter using local feedback deep recurrent neural network for voltage balancing in energy harvesting applications. Int. J. Circuit Theory Appl. 49 (12) (2021)
Zohreh Naghibi, Sayed Alireza Sadrossadat, Saeed Safari
Dynamic behavioral modeling of nonlinear circuits using a novel recurrent neural network technique. Int. J. Circuit Theory Appl. 47 (7) (2019)
Sayed Alireza Sadrossadat, Minoo Mirsaeedi, Kumaraswamy Ponnambalam, Mohab H. Anis
Framework for statistical design of a flip-flop. ICECS (2009)