Sima S. Ahrabi
Orcid: 0000-0001-8379-8799
According to our database1,
Sima S. Ahrabi
authored at least 12 papers
between 2014 and 2024.
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Collaborative distances:
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Bibliography
2024
Multi-resolution Twinned Residual Auto-Encoders (MR-TRAE) - A Novel DL Model for Image Multi-resolution.
Cogn. Comput., July, 2024
2023
How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study.
J. Supercomput., 2023
2022
Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scans.
J. Supercomput., 2022
A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection.
Expert Syst. Appl., 2022
<i>AFAFed</i> - <i>A</i>synchronous <i>F</i>air <i>A</i>daptive <i>Fed</i>erated learning for IoT stream applications.
Comput. Commun., 2022
2021
An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease.
Comput., 2021
Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms.
IEEE Access, 2021
2016
Mathematical Model for the Output Signal's Energy of an Ideal DAC in the Presence of Clock Jitter.
Proceedings of the Informatics in Control, Automation and Robotics, 2016
2015
Int. J. Grid Util. Comput., 2015
2014
CoRR, 2014
Mathematical modeling of blood flow through an eccentric catheterized artery: A practical approach for a complex system.
Proceedings of the 14th International Conference on Hybrid Intelligent Systems, 2014