Alireza Momenzadeh

Orcid: 0000-0002-5682-4186

According to our database1, Alireza Momenzadeh authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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

Energy-minimizing 3D circular trajectory optimization of rotary-wing UAV under probabilistic path-loss in constrained hotspot environments.
Veh. Commun., 2024

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

AFAFed - Protocol analysis.
CoRR, 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


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