Items where Author is "Sadrossadat, Sayed Alireza"

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Azodi, M., Sadrossadat, S. A., & Savaria, Y. (2024). Nonlinear circuit macromodeling using new heterogeneous-layered deep clockwork recurrent neural network. IEEE Access, 12, 89506-89519. Available

Azodi, M., Sadrossadat, S. A., & Savaria, Y. (2024). Nonlinear Circuit Macromodeling Using New Heterogeneous-Layered Deep Clockwork Recurrent Neural Network. IEEE Access, 12, 89506-89519. External link

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Faraji, A., Sadrossadat, S. A., Moftakharzadeh, A., Nabavi, M., & Savaria, Y. (2023). Deep Independent Recurrent Neural Network Technique for Modeling Transient Behavior of Nonlinear Circuits. IEEE Transactions on Components, Packaging and Manufacturing Technology, 13(5), 688-699. External link

Faraji, A., Sadrossadat, S. A., Yazdian-Dehkordi, M., Nabavi, M., & Savaria, Y. (2022). A Hybrid Approach Based on Recurrent Neural Network for Macromodeling of Nonlinear Electronic Circuits. IEEE Access, 10, 127996-128006. External link

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Sajjadi, S. A., Sadrossadat, S. A., Moftakharzadeh, A., Nabavi, M., & Sawan, M. (2024). Yield maximization of flip-flop circuits based on deep neural network and polyhedral estimation of nonlinear constraints. IEEE Access, 12, 113944-113959. Available

Sajjadi, S. A., Sadrossadat, S. A., Moftakharzadeh, A., Nabavi, M., & Sawan, M. (2024). DNN-Based Optimization to Significantly Speed Up and Increase the Accuracy of Electronic Circuit Design. IEEE Transactions on Circuits and Systems I: Regular Papers, 12 pages. External link