Sayed Alireza Sadrossadat
Orcid: 0000-0002-6192-1167
According to our database1,
Sayed Alireza Sadrossadat
authored at least 11 papers
between 2009 and 2024.
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Bibliography
2024
DNN-Based Optimization to Significantly Speed Up and Increase the Accuracy of Electronic Circuit Design.
IEEE Trans. Circuits Syst. I Regul. Pap., March, 2024
Hybrid Batch-Normalized Deep Feedforward Neural Network Incorporating Polynomial Regression for High-Dimensional Microwave Modeling.
IEEE Trans. Circuits Syst. I Regul. Pap., March, 2024
High-Speed Nonlinear Circuit Macromodeling Using Hybrid-Module Clockwork Recurrent Neural Network.
IEEE Trans. Circuits Syst. I Regul. Pap., February, 2024
2023
A New Macromodeling Method Based on Deep Gated Recurrent Unit Regularized With Gaussian Dropout for Nonlinear Circuits.
IEEE Trans. Circuits Syst. I Regul. Pap., July, 2023
Modeling and implementation of a novel active voltage balancing circuit using deep recurrent neural network with dropout regularization.
Int. J. Circuit Theory Appl., May, 2023
2022
Adjoint recurrent neural network technique for nonlinear electronic component modeling.
Int. J. Circuit Theory Appl., 2022
A Hybrid Approach Based on Recurrent Neural Network for Macromodeling of Nonlinear Electronic Circuits.
IEEE Access, 2022
2021
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., 2021
2019
Dynamic behavioral modeling of nonlinear circuits using a novel recurrent neural network technique.
Int. J. Circuit Theory Appl., 2019
2009
Proceedings of the 16th IEEE International Conference on Electronics, 2009