Alireza Momenzadeh
Orcid: 0000-0002-5682-4186
According to our database1,
Alireza Momenzadeh
authored at least 11 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Twinned Residual Auto-Encoder (TRAE) - A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images.
Expert Syst. Appl., September, 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
2020
Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications.
Inf. Sci., 2020
2019
EcoMobiFog-Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications.
IEEE Access, 2019
2018
Fog-Supported Delay-Constrained Energy-Saving Live Migration of VMs Over MultiPath TCP/IP 5G Connections.
IEEE Access, 2018