Alireza Momenzadeh

Pubblicazioni

Titolo Pubblicato in Anno
Energy-minimizing 3D circular trajectory optimization of rotary-wing UAV under probabilistic path-loss in constrained hotspot environments VEHICULAR COMMUNICATIONS 2024
Multi-resolution twinned residual auto-encoders (MR-TRAE)—a novel DL model for image multi-resolution COGNITIVE COMPUTATION 2024
How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study THE JOURNAL OF SUPERCOMPUTING 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 SYSTEMS WITH APPLICATIONS 2023
A novel unsupervised approach based on the hidden features of deep denoising autoencoders for COVID-19 disease detection EXPERT SYSTEMS WITH APPLICATIONS 2022
Exploiting probability density function of deep convolutional autoencoders’ latent space for reliable COVID-19 detection on CT scans THE JOURNAL OF SUPERCOMPUTING 2022
AFAFed—Asynchronous Fair Adaptive Federated learning for IoT stream applications COMPUTER COMMUNICATIONS 2022
Deepfogsim: A toolbox for execution and performance evaluation of the inference phase of conditional deep neural networks with early exits atop distributed fog platforms APPLIED SCIENCES 2021
An accuracy vs. complexity comparison of deep learning architectures for the detection of covid-19 disease COMPUTATION 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
A histogram-based low-complexity approach for the effective detection of COVID-19 disease from CT and X-ray images APPLIED SCIENCES 2021
Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications INFORMATION SCIENCES 2020
Metaheuristics and Pontryagin's minimum principle for optimal therapeutic protocols in cancer immunotherapy: a case study and methods comparison JOURNAL OF MATHEMATICAL BIOLOGY 2020
VirtFogSim: A parallel toolbox for dynamic energy-delay performance testing and optimization of 5G Mobile-Fog-Cloud virtualized platforms APPLIED SCIENCES 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
SmartFog: Training the Fog for the energy-saving analytics of Smart-Meter data APPLIED SCIENCES 2019
On failed methods of fractional differential equations. The case of multi-step generalized differential transform method MEDITERRANEAN JOURNAL OF MATHEMATICS 2018
Fog-supported delay-constrained energy-saving live migration of VMs over multiPath TCP/IP 5G connections IEEE ACCESS 2018
Determination of order in linear fractional differential equations FRACTIONAL CALCULUS & APPLIED ANALYSIS 2018

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma