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Titolo Data di pubblicazione Autore(i) File
Failure strength of thin-walled cylindrical GFRP composite shell against static internal and external pressure for various volumetric fiber fraction 1-gen-2012 Gohari, S; Golshan, A; Mostakhdemin, M; Mozafari, F; Momenzadeh, A
Determination of order in linear fractional differential equations 1-gen-2018 D'Ovidio, Mirko; Loreti, Paola; Momenzadeh, Alireza; SARV AHRABI, Sima
On failed methods of fractional differential equations. The case of multi-step generalized differential transform method 1-gen-2018 Sarv Ahrabi, Sima; Momenzadeh, Alireza
Fog-supported delay-constrained energy-saving live migration of VMs over multiPath TCP/IP 5G connections 1-gen-2018 Baccarelli, Enzo; Scarpiniti, Michele; Momenzadeh, Alireza
SmartFog: Training the Fog for the energy-saving analytics of Smart-Meter data 1-gen-2019 Scarpiniti, M.; Baccarelli, E.; Momenzadeh, A.; Uncini, A.
EcoMobiFog–Design and dynamic optimization of a 5G Mobile-Fog-Cloud Multi-Tier ecosystem for the real-time distributed execution of stream applications 1-gen-2019 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 1-gen-2019 Scarpiniti, Michele; Baccarelli, Enzo; Momenzadeh, Alireza
Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications 1-gen-2020 Baccarelli, E.; Scardapane, S.; Scarpiniti, M.; Momenzadeh, A.; Uncini, A.
Metaheuristics and Pontryagin's minimum principle for optimal therapeutic protocols in cancer immunotherapy: a case study and methods comparison 1-gen-2020 Sarv Ahrabi, Sima; Momenzadeh, Alireza
A histogram-based low-complexity approach for the effective detection of COVID-19 disease from CT and X-ray images 1-gen-2021 Scarpiniti, M.; Sarv Ahrabi, S.; Baccarelli, E.; Piazzo, L.; Momenzadeh, A.
Learning-in-the-Fog (LiFo): Deep learning meets Fog Computing for the minimum-energy distributed early-exit of inference in delay-critical IoT realms 1-gen-2021 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 1-gen-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 1-gen-2021 Scarpiniti, M.; Baccarelli, E.; Momenzadeh, A.; Sarv Ahrabi, S.
Exploiting probability density function of deep convolutional autoencoders’ latent space for reliable COVID-19 detection on CT scans 1-gen-2022 Sarv Ahrabi, S.; Piazzo, L.; Momenzadeh, A.; Scarpiniti, M.; Baccarelli, E.
A novel unsupervised approach based on the hidden features of deep denoising autoencoders for COVID-19 disease detection 1-gen-2022 Scarpiniti, M.; Sarv Ahrabi, S.; Baccarelli, E.; Piazzo, L.; Momenzadeh, A.
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