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Author

Fatemeh Charoosaei

Institution: Yazd University
Observed institution: Yazd University
ORCID: 0009-0005-7554-1164
Observed ORCID: 0009-0005-7554-1164
OpenAlex ID: A5001577290
High-Order Deep Recurrent Neural Network With Hybrid Layers for Modeling Dynamic Behavior of Nonlinear High-Frequency Circuits
2022 · Fatemeh Charoosaei, Mostafa Noohi, et al. · IEEE Transactions on Microwave Theory and Techniques · 25
High-Speed Nonlinear Circuit Macromodeling Using Hybrid-Module Clockwork Recurrent Neural Network
2023 · Fatemeh Charoosaei, Amin Faraji, et al. · IEEE Transactions on Circuits and Systems I Regular Papers · 10
Explainable Weakly-Aligned Deep Learning for Suicide Risk Assessment Using Pseudo-Paired EEG, Speech, and HRV Data
2026 · Fatemeh Charoosaei, Mohammadali Charoosaei · SSRN Electronic Journal
Multimodal Deep Learning for EarlyAlzheimer’s Disease Prediction: AnAttention-Based Framework IntegratingMRI, fMRI, and Clinical Biomarkers
2026 · Fatemeh Charoosaei, Mohammadali Charoosaei · SSRN Electronic Journal
Robust Multimodal Deep Learning for AD
2026 · Fatemeh Charoosaei, Fatemeh Rajabi, et al. · SSRN Electronic Journal
Modeling of a Low-Noise Amplifier with a Recurrent Neural Network
2023 · Mostafa Noohi, Fatemeh Charoosaei, et al.
Works count: 6
Citation count: 35
H-index: 2
I10-index: 2
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