MOMENZADEH, ALIREZA

MOMENZADEH, ALIREZA  

DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI  

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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