| Parametric modeling of microwave passive components using sensitivity-analysis-based adjoint neural-network technique SA Sadrossadat, Y Cao, QJ Zhang IEEE transactions on microwave theory and techniques 61 (5), 1733-1747, 2013 | 104 | 2013 |
| Long short-term memory neural networks for modeling nonlinear electronic components M Moradi, SA Sadrossadat, V Derhami IEEE Transactions on Components, Packaging and Manufacturing Technology 11 ¡K, 2021 | 50 | 2021 |
| Statistical design framework of submicron flip-flop circuits considering process variations SA Sadrossadat, H Mostafa, M Anis IEEE Transactions on Semiconductor Manufacturing 24 (1), 69-79, 2010 | 47 | 2010 |
| Time-domain modeling of nonlinear circuits using deep recurrent neural network technique Z Naghibi, SA Sadrossadat, S Safari AEU-International Journal of Electronics and Communications 100, 66-74, 2019 | 38 | 2019 |
| Batch-normalized deep recurrent neural network for high-speed nonlinear circuit macromodeling A Faraji, M Noohi, SA Sadrossadat, A Mirvakili, W Na, F Feng IEEE Transactions on Microwave Theory and Techniques 70 (11), 4857-4868, 2022 | 29 | 2022 |
| Nonlinear electronic/photonic component modeling using adjoint state-space dynamic neural network technique SA Sadrossadat, P Gunupudi, QJ Zhang IEEE Transactions on Components, Packaging and Manufacturing Technology 5 ¡K, 2015 | 28 | 2015 |
| ANN‐based method for parametric modelling and optimising efficiency, output power and material cost of BLDC motor SA Sadrossadat, O Rahmani IET Electric Power Applications 14 (6), 951-960, 2020 | 27 | 2020 |
| Dynamic behavioral modeling of nonlinear circuits using a novel recurrent neural network technique Z Naghibi, SA Sadrossadat, S Safari International journal of circuit theory and applications 47 (7), 1071-1085, 2019 | 26 | 2019 |
| Modeling and implementation of nonlinear boost converter using local feedback deep recurrent neural network for voltage balancing in energy harvesting applications M Noohi, A Mirvakili, SA Sadrossadat International Journal of Circuit Theory and Applications 49 (12), 4231-4247, 2021 | 22 | 2021 |
| A brief review over neural network modeling techniques MGM Mohammad Reza Mohammadi, Sayed Alireza Sadrossadat 2017 IEEE International Conference on Power, Control, Signals and ¡K, 2017 | 22 | 2017 |
| Modeling and simulation of speed and efficiency of BLDC motor as a starter motor based on multilayer perceptron (MLP) neural network O Rahmani, M Iltarabian, SA Sadrossadat 2018 IEEE Transportation Electrification Conference and Expo, Asia-Pacific ¡K, 2018 | 21 | 2018 |
| A new macromodeling method based on deep gated recurrent unit regularized with Gaussian dropout for nonlinear circuits A Faraji, SA Sadrossadat, W Na, F Feng, QJ Zhang IEEE Transactions on Circuits and Systems I: Regular Papers 70 (7), 2904-2915, 2023 | 18 | 2023 |
| Microwave systems and applications S Goudos BoD¡VBooks on Demand, 2017 | 16 | 2017 |
| Adjoint recurrent neural network technique for nonlinear electronic component modeling Z Naghibi, SA Sadrossadat, S Safari International Journal of Circuit Theory and Applications, 2021 | 14 | 2021 |
| High-Order Deep Recurrent Neural Network With Hybrid Layers for Modeling Dynamic Behavior of Nonlinear High-Frequency Circuits F Charoosaei, M Noohi, SA Sadrossadat, A Mirvakili, W Na, F Feng IEEE Transactions on Microwave Theory and Techniques, 2022 | 11 | 2022 |
| Optimization of efficiency and output power of 8/6 switched reluctance motor using new neural network‐based adjoint L p metric method O Rahmani, SA Sadrossadat, SM Mirimani, SH Mirimani IET Electric Power Applications 15 (6), 769-783, 2021 | 11 | 2021 |
| Deep independent recurrent neural network technique for modeling transient behavior of nonlinear circuits A Faraji, SA Sadrossadat, A Moftakharzadeh, M Nabavi, Y Savaria IEEE Transactions on Components, Packaging and Manufacturing Technology 13 ¡K, 2023 | 8 | 2023 |
| Modeling and implementation of a novel active voltage balancing circuit using deep recurrent neural network with dropout regularization AM Mostafa Noohi,Amin Faraji,Sayed Alireza Sadrossadat,Ali Mirvakili International Journal of Circuit Theory and Applications, 2022 | 7* | 2022 |
| Parallelizing time-delay recurrent neural network modeling technique on multi-core architectures SA Sadrossadat, Z Naghibi 2021 16th International Microsystems, Packaging, Assembly and Circuits ¡K, 2021 | 7 | 2021 |
| A framework for statistical design of a brushless DC motor considering efficiency maximisation SA Sadrossadat, O Rahmani IET electric power applications, 2021 | 7 | 2021 |
Q.J. ZhangProfessor of Electronics, Carleton UniversityVerified email at doe.carleton.ca
