Mathematical modeling of blood flow through an eccentric catheterized artery: A practical approach for a complex system. - Sima S. Ahrabi; Mohammad Shojafar; Hamid Kazemi Esfeh; Ajith Abraham (HIS, 2014)

FRTRUST: a fuzzy reputation based model for trust management in semantic P2P grids. - Saeed Javanmardi; Mohammad Shojafar; Shahdad Shariatmadari; Sima S. Ahrabi (CoRR, 2014)

FR trust: a fuzzy reputation-based model for trust management in semantic P2P grids. - Saeed Javanmardi; Mohammad Shojafar; Shahdad Shariatmadari; Sima S. Ahrabi (Int. J. Grid Util. Comput., 2015)

Mathematical Model for the Output Signal's Energy of an Ideal DAC in the Presence of Clock Jitter. - Paola Loreti; Sima Sarv Ahrabi; Pierluigi Vellucci (ICINCO (Selected Papers), 2016)

Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms. - Enzo Baccarelli; Michele Scarpiniti; Alireza Momenzadeh; Sima Sarv Ahrabi (IEEE Access, 2021)

An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease. - Sima Sarv Ahrabi; Michele Scarpiniti; Enzo Baccarelli; Alireza Momenzadeh (Comput., 2021)

AFAFed - Asynchronous Fair Adaptive Federated learning for IoT stream applications. - Enzo Baccarelli; Michele Scarpiniti; Alireza Momenzadeh; Sima Sarv Ahrabi (Comput. Commun., 2022)

AFAFed - Protocol analysis. - Enzo Baccarelli; Michele Scarpiniti; Alireza Momenzadeh; Sima Sarv Ahrabi (CoRR, 2022)

A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection. - Michele Scarpiniti; Sima Sarv Ahrabi; Enzo Baccarelli; Lorenzo Piazzo; Alireza Momenzadeh (Expert Syst. Appl., 2022)

Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scans. - Sima Sarv Ahrabi; Lorenzo Piazzo; Alireza Momenzadeh; Michele Scarpiniti; Enzo Baccarelli (J. Supercomput., 2022)

How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study. - Sima Sarv Ahrabi; Alireza Momenzadeh; Enzo Baccarelli; Michele Scarpiniti; Lorenzo Piazzo (J. Supercomput., 2023)

Multi-resolution Twinned Residual Auto-Encoders (MR-TRAE) - A Novel DL Model for Image Multi-resolution. - Alireza Momenzadeh; Enzo Baccarelli; Michele Scarpiniti; Sima Sarv Ahrabi (Cogn. Comput., 2024)

Stochastic conformance checking based on variable-length Markov chains. - Emilio Incerto; Andrea Vandin; Sima Sarv Ahrabi (Inf. Syst., 2025)