R. Fabbri, S. Rizzo, E. Botte, A. Ahluwalia, C. Magliaro: “A novel computational platform for mimicking neural network activity in advanced in vitro neural constructs”, Forum of Federation of European Neuroscience Soci-eties (FENS), July 2022

L. Leonardi, G. Lettieri, P. Perazzo, S. Saponara: "On the Hardware-Software Integration in Cryptographic Accelerators for Industrial IoT". Applied Sciences 2022

Industrial Internet of Things (IIoT) applies IoT technologies on industrial automation systems with the aims of providing remote sensing, remote control, self-organization and self-maintenance. Since IIoT systems often constitute a critical...

M. Mazza, S. Cresci, M. Avvenuti, W. Quattrociocchi, and M. Tesconi, “RTbust: Exploiting temporal patterns for botnet detection on twitter,” in Proceedings of the 10th ACM Conference on Web Science, 2019

Within OSNs, many of our supposedly online friends may instead be fake accounts called social bots, part of large groups that purposely re-share targeted content. Here, we study retweeting behaviors on Twitter, with the ultimate goal of detecting...

L. Porfilio, M. Mazza, S. Cresci, M. Avvenuti, M. Tesconi, "Characterizing different actors in IOs through a large-scale quantitative analysis", Understanding Information Operations with Twitter Data: a Workshop Series, 2020

Information or influence operations have been used to manipulate crowds and often involve mass, coordinated inauthentic behaviors in social media. Although these operations can take many different forms and aim at different purposes, to succeed,...

M. Mazza, G. Cola, "The role of Twitter fraudulent accounts during the COVID-19 pandemic: a case study." The 1st International Workshop on Information Disorder: Disinformation and Coordinated Inauthentic Behavior (DISINFO’20), 2020

The use of social media, like Twitter or Facebook, as a means to gather information on disparate subjects has increased dramatically over the last few years. A growing number of users rely on such applications even to retrieve emergency updates, like...

M. Mazza, M. Avvenuti, S. Cresci, and M. Tesconi, “Investigating the difference between trolls, social bots, and humans on Twitter,” Computer Communications, vol. 196, pp. 23–36, 2022

It has become apparent that human accounts are not the sole actors in the social media scenario. The expanding role of social media in the consumption and diffusion of information has been accompanied by attempts to influence public opinion....

M. Mazza, G. Cola, and M. Tesconi, “Ready-to-(ab)use: From fake account trafficking to coordinated inauthentic behavior on Twitter,” Online Social Networks and Media, vol. 31, no. 100224, p. 100224, 2022

Fake accounts are the primary means for misuse and abuse of social media platforms, giving rise to coordinated inauthentic behaviors. Despite ongoing efforts to limit their exploitation, ready-to-use fake accounts can be found for sale on several...

P. Zola, G. Cola, M. Mazza and M. Tesconi, "Interaction Strength Analysis to Model Retweet Cascade Graphs", Applied Sciences, vol. 10, no. 23, p. 8394, 2020

Tracking information diffusion is a non-trivial task and it has been widely studied across different domains and platforms. The advent of social media has led to even more challenges, given the higher speed of information propagation and the growing...

E. Giusti, A. Kumar, F. Mancuso, S. Ghio and M. Martorella, "Fully polarimetric multi-aspect 3D InISAR," 2022 23rd International Radar Symposium (IRS), 2022, pp. 184-189.

This article proposes a fully polarimetric 3D InISAR algorithm. The use of radar polarimetry is proposed in this paper to increase the performance of the 3D InISAR algorithm. Polarimetry is used both to improve the scatterer extraction algorithm and to...

A. Kumar, E. Giusti, F. Mancuso and M. Martorella, "Polarimetric Interferometric ISAR Based 3-D Imaging of Non-Cooperative Target," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 385-388.

In this work, a Polarimetric Interferometric Inverse Synthetic Aperture Radar (PolInISAR) based approach is outlined for the 3-D imaging of non-cooperative targets. The role of polarimetry is proven vital here as it allows to select the optimal...

F. Mancuso, E. Giusti and M. Martorella, "Polarimetric Three-Dimensional ISAR Imaging," 2022 IEEE Radar Conference (RadarConf22), 2022, pp. 1-6.

Three-dimensional (3D) ISAR imaging is an effective imaging technique which allows to overtake some interpretability issues typical of bidimensional imaging systems and to enhance the potential of Automatic Target Recognition (ATR) algorithms. 3D ISAR...

K. Vichos, M. De Bonis, I. Kanellos, S. Chatzopoulos, C. Atzori, N. Manola, P. Manghi, T. Vergoulis: "A preliminary assessment of the article deduplication algorithm used for the OpenAIRE Research Graph", IRCDL 2022

Content: In recent years, a large number of Scholarly Knowledge Graphs (SKGs) have been introduced in the literature. The communities behind these graphs strive to gather, clean, and integrate scholarly metadata from various sources to produce clean...

F. Minutella, M. De Bonis, F. Falchi, P. Manghi, N. Messina: "Towards unsupervised machine learning approaches for knowledge graphs", IRCDL 2022 - 18th Italian Research Conference on Digital Libraries

Content: Nowadays, a lot of data is in the form of Knowledge Graphs aiming at representing information as a set of nodes and relationships between them. This paper proposes an efficient framework to create informative embeddings for node classification...

M. De Bonis, P. Manghi, C. Atzori: "FDup: a framework for general-purpose and efficient entity deduplication of record collections. PeerJ Computer Science"

Content: Deduplication is a technique aiming at identifying and resolving duplicate metadata records in a collection. This article describes FDup (Flat Collections Deduper), a general-purpose software framework supporting a complete deduplication...

A survey of blockchain-based IoT eHealthcare: Applications, research issues, and challenges

Blockchain (BC) technology has recently emerged as an essential component for different applications, including healthcare and IoT, because of its decentralized ledger, source provenance, and tamper-proof nature. The Internet of Things (IoT) and BC...

COVID-19 Cases Detection from Chest X-Ray Images using CNN based Deep Learning Model

COVID-19 has recently manifested as one of the most serious life-threatening infections and is still circulating globally. COVID-19 can be contained to a considerable extent if a patient can know their COVID-19 infection at a possible earlier time, and...

Ferrante N., Giuffrida G., Nannipieri P., Bechini A. and Fanucci L. "Fault Detection Exploiting Artificial Intelligence in Satellite Systems" In 2nd International Conference on Applied Intelligence and Informatics, September 2022

Abstract: Mission control and fault management are fundamental in safety-critical scenarios such as space applications. To this extent, fault detection techniques are crucial to meet the desired safety and integrity level. This work proposes a fault...

G.M. Fortunato, E. Batoni, A.F. Bonatti, G. Vozzi, C. De Maria: "Surface reconstruction and tissue recognition for robotic-based in situ bioprinting", Bioprinting, vol. 26, no. 1, e00195, June 2022

In this study, an innovative approach for the surface reconstruction and mechanical evaluation of anatomical defects for robotic-based in situ bioprinting applications is presented. A touch probe was developed to be used as the end-effector of a 5...

Recursive ESPRIT Algorithm for Multi-User OAM Low-Overhead AoA Estimation

Multi-user orbital angular momentum (MU-OAM) wireless backhaul systems require precise alignment of transmitted and received OAM beams in line-of-sight (LoS) scenarios. Therefore, a crucial feature for a macro base station (MBS) is to accurately obtain...

Recursive ESPRIT Algorithm for Multi-User OAM Low-Overhead AoA Estimation

Multi-user orbital angular momentum (MU-OAM) wireless backhaul systems require precise alignment of transmitted and received OAM beams in line-of-sight (LoS) scenarios. Therefore, a crucial feature for a macro base station (MBS) is to accurately obtain...