Alireza Momenzadeh | Ricerc@Sapienza

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