A. de Jesus Torres, A. A. D'Amico, L. Sanguinetti, M. Win:"Cramér-Rao Bounds for Near-Field Localization", accepted at Asilomar Conference on Signals, Systems & Computers 2021

F. Saggese, L. Pasqualini, M. Moretti, A. Abrardo: "Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic", accepted on GLOBECOM 2021, Madrid

Abstract: With the advent of 5G and the research into beyond 5G (B5G) networks, a novel and very relevant research issue is how to manage the coexistence of different types of traffic, each with very stringent but completely different requirements. We...

A.Verani, R. Di Rienzo, F. Baronti, R. Roncella, R. Saletti: “Analysis of Thermal-Induced Shunt Current Sensor Errors in a Low-Cost Battery Management System”, ApplePies 2021, accepted

L. Ciampi, C. Santiago, J. P. Costeira, C. Gennaro, G. Amato: "Domain Adaptation for Traffic Density Estimation", 16th International Conference on Computer Vision Theory and Applications (VISAPP 2021), 8-10 February, 2021

A. de Jesus Torres, L. Sanguinetti, E. Björnson: "Near- and Far-Field Communications with Large Intelligent Surfaces", published at Asilomar Conference on Signals, Systems & Computers 2020

This paper studies the uplink spectral efficiency (SE) achieved by two single-antenna user equipments (UEs) communicating with a Large Intelligent Surface (LIS), defined as a planar array consisting of N antennas that each has area A. The analysis is...

A Cloud-Oriented Measurement System for Radiological Investigation and Traceability of Stones

Radiological measurements and traceability of materials are becoming more and more important in the industrial sector of stones and building materials for both producers and users. This is due to the recent European regulatory restrictions on the...

Enabling Smart Home Voice Control for Italian People with Dysarthria: Preliminary Analysis of Frame Rate Effect on Speech Recognition

Within the field of automatic speech recognition, the processing of dysarthric speech is a challenge because standard approaches are ineffective in presence of dysarthria. This paper presents preliminary evidence that the performance of...

An Easily Integrable Industrial System for Gamma Spectroscopic Analysis and Traceability of Stones and Building Materials

In the building material and stones market, lots of restrictions are coming in different world zones. In Europe, a recent regulatory set up the maximum level of radiological emissions for materials intended for use in public and private building...

Optimising Speaker-Dependent Feature Extraction Parameters to Improve Automatic Speech Recognition Performance for People with Dysarthria

Within the field of Automatic Speech Recognition (ASR) systems, facing impaired speech is a big challenge because standard approaches are ineffective in the presence of dysarthria. The first aim of our work is to confirm the effectiveness of a new...

IDEA: An Italian Dysarthric Speech Database

This paper describes IDEA a database of Italian dysarthric speech produced by 45 speakers affected by 8 different pathologies. Neurologic diagnoses were collected from the subjects' medical records, while dysarthria assessment was conducted by a speech...

Machine learning assistive application for users with speech disorders

This paper investigates machine learning approaches toward the development of a speaker dependent keywords spotting system intended for users with speech disorders, in particular for those with dysarthria, i.e., a neuromotor speech impairment...

Fagni T, Falchi F, Gambini M, Martella A, Tesconi M (2021) TweepFake: About detecting deepfake tweets. PLoS ONE 16(5): e0251415. https://doi.org/10.1371/journal.pone.0251415

The recent advances in language modeling significantly improved the generative capabilities of deep neural models: in 2019 OpenAI released GPT-2, a pre-trained language model that can autonomously generate coherent, non-trivial and human-like text...

Monda, D.; Ciarpi, G.; Saponara, S. Diagnosis of Faults Induced by Radiation and Circuit-Level Design Mitigation Techniques: Experience from VCO and High-Speed Driver CMOS ICs Case Studies. Electronics 2021, 10, 2144. https://doi.org/10.3390/electron

D. Monda, G. Ciarpi and S. Saponara, "Design and Verification of a 6.25 GHz LC-Tank VCO integrated in 65 nm CMOS Technology Operating up to 1 Grad TID," in IEEE Transactions on Nuclear Science, doi: 10.1109/TNS.2021.3102481.

D. Lattuca, L. Di Mauro, F. Bisconti, F. Civerchia, A. Tesei, P. Pagano, M. Luise, and J. Ferreira, "Securing Vehicular Computation Offloading: A Distributed Ledger-Based Approach", IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 2021.

ABSTRACT Connected and autonomous vehicles run their control algorithms in dedicated on-board computing platforms, which will become obsolete long before the end of the life cycle of the vehicles, severely limiting the evolution of their control...

A. Tesei, M. Luise, P. Pagano and J. Ferreira, "Secure Multi-access Edge Computing Assisted Maneuver Control for Autonomous Vehicles," 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021, pp. 1-6, doi: 10.1109/VTC2021-Spring51267.20

A. Tesei et al., "Securing Seaport Logistic Vehicles Using a Distributed Ledger-Based Credential Management System," in IEEE Open Journal of Vehicular Technology, vol. 2, pp. 162-179, 2021

Benci V., Cococcioni M., and Fiaschi L. Non-standard analysis revisited: an easy axiomatic presentation oriented towards numerical applications. Applied Mathematics and Computer Science, 2021.

ABSTRACT Alpha-Theory has been introduced in 1995 to provide a simplified version of Robinson’s Non-Standard Analysis which overcomes the technicalities of symbolic logic. The theory has been improved during the years, and recently it has been used...

Cococcioni M., Fiaschi L., and Lambertini L. Computing optimal decision strategies using the infinity computer: the case of non-Archimedean zero-sum games. In Numerical Infinities and Infinitesimals in Optimization. Springer, 2021

ABSTRACT As is well known, zero-sum games are appropriate instruments for the analysis of several issues across areas including economics, international relations and engineering, among others. In particular, the Nash equilibria of any two-player...

Lai L., Fiaschi L., Cococcioni M., and Deb K. On the use of grossone methodology for handling priorities in multi-objective evolutionary optimization. In Numerical Infinities and Infinitesimals in Optimization. Springer, 2021.

ABSTRACT This chapter introduces a new class of optimization problems, called Mixed-Pareto-Lexicographic Multi-objective Optimization Problems (MPL-MOPs), to provide a suitable model for scenarios where some objectives have priority over some others....