F. Mancuso, E. Giusti, A. Kumar, S. Ghio and M. Martorella, 'Comparative assessment of polarimetric features estimation in fully polarimetric 3D-ISAR imaging system', IET Conference Proceedings, 2022, p. 353-358

Fully polarimetric 3D-ISAR helps to achieve better three-dimensional reconstruction with respect to the single polarization 3D-ISAR approach. This is useful to obtain more populated point clouds and to improve the estimation of the interferometric...

Bresciani M., Tani S., Ruscio F., Zacchini L., Bartalucci L., Ridolfi A., Maurelli F., Costanzi R. (2022) Impact of Natural Gas Seeps on the Navigation of an Autonomous Underwater Vehicle. In 2022 IEEE/OES Autonomous Underwater Vehicles Symposium (AU

Ruscio F., Tani S., Bresciani M., Caiti A., Costanzi R. (2022) Visual-based Navigation Strategy for Autonomous Underwater Vehicles in Monitoring Scenarios. IFAC-PapersOnLine, 55(31), 369-374.

Tani S., Ruscio F., Bresciani M., Caiti A., Costanzi R. (2022) Stereo Vision System for Autono-mous Ship Hull Inspection. IFAC-PapersOnLine, 55(31), 375-380.

Tani S., Ruscio F., Bresciani M., Costanzi R., Caiti A. (2022) Visual Inspection of Underwater Structures using an AUV: A Preliminary Simulative Evaluation. 21st International Conference on Computer and IT Applications in the Maritime Industries COMP

Bazzarello L., Terracciano D., Manzari V., Bresciani M., Cannarsa F., Tesei A., Costanzi R., Cai-ti A., Stifani M. (2022). Remote Passive Acoustic Barrier with Maritime Unmanned Systems: Prelim-inary Tests During REPMUS-21. In Technology and Science

Bazzarello L., Pulpito O., Cannarsa F., Bresciani M., Costanzi R., Acito N., Diani M., Corsini G., Caiti A. (2022) Anomaly detection in Sonar images: application of saliency filters. In 2022 IEEE In-ternational workshop on Metrology for the sea, METR

Leonardi, L., Lettieri, G., Pellicci, G. eBPF-based Extensible Paravirtualization. ISC High Performance 2022 International Workshops. Lecture Notes in Computer Science, vol 13387. Springer, Cham.

High performance applications usually need to give many hints to the OS kernel regarding their needs. For example, CPU affinity is commonly used to pin processes to cores and avoid the cost of CPU migration, isolate performance critical tasks, bring...

J. L. Gustafson, M. Cococcioni, F. Rossi, E. Ruffaldi and S. Saponara "Decoding-free Two-Input Arithmetic for Low-Precision Real Numbers", CoNGA'23, accepted

Abstract: In this work, we present a novel method for directly computing functions of two real numbers using logic circuits without decoding; the real numbers are mapped to a particularly-chosen set of integer numbers. We theoretically prove that this...

M. Falchi, S. Rotundo, D. Brizi and A. Monorchio, "Non-Destructive Sensing Evaluations by Using a Passive Magnetic Metasurface," 2022 IEEE International Symposium on Antennas and Propa-gation and USNC-URSI Radio Science Meeting (AP-S/URSI), 2022

M. Falchi, S. Rotundo, D. Brizi and A. Monorchio, "A Design Methodology for Response-controlled Passive Magnetic Metasurfaces," 2022 16th European Conference on Antennas and Propagation (EuCAP), 2022, pp. 1-3, doi: 10.23919/EuCAP53622.2022.9769304.

Zulberti, L.; Di Matteo, S.; Nannipieri, P.; Saponara, S.; Fanucci, L. A Script-Based Cycle-True Verification Framework to Speed-Up Hardware and Software Co-Design: Performance Evaluation on ECC Accelerator Use-Case. Electronics 2022, 11, 3704.

Digital designs complexity has exponentially increased in the last decades. Heterogeneous Systems-on-Chip integrate many different hardware components which require a reliable and scalable verification environment. The effort to set up such...

L. A. De Santi, E. Pasini, M. F. Santarelli, et al. "An Explainable Convolutional Neural Network for the Early Diagnosis of Alzheimer’s Disease from 18F-FDG PET." J Digit Imaging (2022).

Convolutional Neural Networks (CNN) which support the diagnosis of Alzheimer’s Disease using 18F-FDG PET images are obtaining promising results; however, one of the main challenges in this domain is the fact that these models work as black-box systems....

L. A. De Santi, E. Pasini, M. F. Santarelli, et al. "An Explainable Convolutional Neural Network for the Early Diagnosis of Alzheimer’s Disease from 18F-FDG PET." J Digit Imaging (2022).

Convolutional Neural Networks (CNN) which support the diagnosis of Alzheimer’s Disease using 18F-FDG PET images are obtaining promising results; however, one of the main challenges in this domain is the fact that these models work as black-box systems....

L. A. De Santi, E. Pasini, M. F. Santarelli, et al. "An Explainable Convolutional Neural Network for the Early Diagnosis of Alzheimer’s Disease from 18F-FDG PET." J Digit Imaging (2022).

Convolutional Neural Networks (CNN) which support the diagnosis of Alzheimer’s Disease using 18F-FDG PET images are obtaining promising results; however, one of the main challenges in this domain is the fact that these models work as black-box systems....

G. Meucci, S. Ghio, E. Giusti, M. Martorella "Radar target recognition based on Open Set YOLO", Radar 2022 - International Conference on Radar Systems 24 - 27 October 2022 | Murrayfield Stadium, Edinburgh, UK

Automatic target recognition (ATR), both for optical and E.M. images, has been a subject of great interest since the last 20 years. The deep learning breakthrough allowed researchers to improve feature extractors by increasing their complexity and...

T. Pacini, E. Rapuano, G. Dinelli, L. Fanucci: "A Multi-Cache System for On-chip Memory Optimizations in FPGA-based CNN Accelerators", MDPI Electronics jorunal, October 2021​

In recent years, FPGAs have demonstrated remarkable performance and contained power consumption for the on-the-edge inference of Convolutional Neural Networks. One of the main challenges in implementing this class of algorithms on board an FPGA is...

A clinical tool for prognosis and speech rehabilitation in dysarthric patients: the DESIRE project

Dysarthria is a motor disorder of speech characterized by alterationDysarthria is a motor disorder of speech characterized by alterationof articulation and intelligibility of speech. The goal of dysarthriamanagement is to optimize communication...

An Approach to Exploit Compensatory Motions in Upper-Limb Prostheses Control

Abstract—Among the recent investigations in upper-limb pros- theses, the research still focuses on exploring new control solu- tions to reduce the user’s mental fatigue and improve the control’s robustness and intuitiveness. Some studies present...

Considerations on possible approaches to measure risk for obstacle avoidance