MOMENZADEH, ALIREZA
MOMENZADEH, ALIREZA
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI
A histogram-based low-complexity approach for the effective detection of COVID-19 disease from CT and X-ray images
2021 Scarpiniti, M.; Sarv Ahrabi, S.; Baccarelli, E.; Piazzo, L.; Momenzadeh, A.
A novel unsupervised approach based on the hidden features of deep denoising autoencoders for COVID-19 disease detection
2022 Scarpiniti, M.; Sarv Ahrabi, S.; Baccarelli, E.; Piazzo, L.; Momenzadeh, A.
AFAFed—asynchronous fair adaptive federated learning for IoT stream applications
2022 Baccarelli, E.; Scarpiniti, M.; Momenzadeh, A.; Sarv Ahrabi, S.
An accuracy vs. complexity comparison of deep learning architectures for the detection of covid-19 disease
2021 Sarv Ahrabi, S.; Scarpiniti, M.; Baccarelli, E.; Momenzadeh, A.
Deepfogsim: A toolbox for execution and performance evaluation of the inference phase of conditional deep neural networks with early exits atop distributed fog platforms
2021 Scarpiniti, M.; Baccarelli, E.; Momenzadeh, A.; Sarv Ahrabi, S.
Determination of order in linear fractional differential equations
2018 D'Ovidio, Mirko; Loreti, Paola; Momenzadeh, Alireza; SARV AHRABI, Sima
EcoMobiFog–Design and dynamic optimization of a 5G Mobile-Fog-Cloud Multi-Tier ecosystem for the real-time distributed execution of stream applications
2019 Baccarelli, Enzo; Scarpiniti, Michele; Momenzadeh, Alireza
Energy-minimizing 3D circular trajectory optimization of rotary-wing UAV under probabilistic path-loss in constrained hotspot environments
2024 Baccarelli, Enzo; Scarpiniti, Michele; Momenzadeh, Alireza
Exploiting probability density function of deep convolutional autoencoders’ latent space for reliable COVID-19 detection on CT scans
2022 Sarv Ahrabi, S.; Piazzo, L.; Momenzadeh, A.; Scarpiniti, M.; Baccarelli, E.
Failure strength of thin-walled cylindrical GFRP composite shell against static internal and external pressure for various volumetric fiber fraction
2012 Gohari, S; Golshan, A; Mostakhdemin, M; Mozafari, F; Momenzadeh, A
Fog-supported delay-constrained energy-saving live migration of VMs over multiPath TCP/IP 5G connections
2018 Baccarelli, Enzo; Scarpiniti, Michele; Momenzadeh, Alireza
How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study
2023 SARV AHRABI, Sima; Momenzadeh, Alireza; Baccarelli, Enzo; Scarpiniti, Michele; Piazzo, Lorenzo
Learning-in-the-Fog (LiFo): Deep learning meets Fog Computing for the minimum-energy distributed early-exit of inference in delay-critical IoT realms
2021 Baccarelli, E.; Scarpiniti, M.; Momenzadeh, A.; Sarv Ahrabi, S.
Metaheuristics and Pontryagin's minimum principle for optimal therapeutic protocols in cancer immunotherapy: a case study and methods comparison
2020 Sarv Ahrabi, Sima; Momenzadeh, Alireza
Multi-resolution twinned residual auto-encoders (MR-TRAE)—a novel DL model for image multi-resolution
2024 Momenzadeh, Alireza; Baccarelli, Enzo; Scarpiniti, Michele; Sarv Ahrabi, Sima
On failed methods of fractional differential equations. The case of multi-step generalized differential transform method
2018 Sarv Ahrabi, Sima; Momenzadeh, Alireza
Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications
2020 Baccarelli, E.; Scardapane, S.; Scarpiniti, M.; Momenzadeh, A.; Uncini, A.
SmartFog: Training the Fog for the energy-saving analytics of Smart-Meter data
2019 Scarpiniti, M.; Baccarelli, E.; Momenzadeh, A.; Uncini, A.
Twinned Residual Auto-Encoder (TRAE)-A new DL architecture for denoising super-resolution and task-aware feature learning from COVID-19 CT images
2023 Baccarelli, Enzo; Scarpiniti, Michele; Momenzadeh, Alireza
VirtFogSim: A parallel toolbox for dynamic energy-delay performance testing and optimization of 5G Mobile-Fog-Cloud virtualized platforms
2019 Scarpiniti, Michele; Baccarelli, Enzo; Momenzadeh, Alireza