Comparison of Passive Acoustic Monitoring sensors for Direction of Arrival estimation of underwater acoustic sources

M. Martino, R. Di Rienzo, A. Verani, N. Nicodemo, F. Baronti, R. Roncella, and R. Saletti, “A simulation platform for dynamic equalization analysis in second-life lithium-ion batteries,” ELECTRIMACS 2024, presented, to be published

The reuse of exhausted electric vehicle batteries in less demanding second-life applications is a promising solution to reduce waste and address concerns about en vironmental sustainability. Unfortunately, the cells used in second-life batteries show...

Del Corso, G., Pachetti, E., ... & ProCAncer-I Consortium. (2024, May). Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate Cancer. In 2024 IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 1-4). IEEE.

This work offers insight into the effectiveness of probabilistic models, specifically those based on ensemble approximations, in predicting adverse side effects following radiotherapy for prostate cancer. We trained a random forest model on radiomic...

Design Criteria of High-Temperature Integrated Circuits Using Standard SOI CMOS Process up to 300°C

C. Sbrana, A. Catania, M. Paliy, S. Strangio, M. Macucci, G. Iannaccone, "Design Criteria of High-Temperature Integrated Circuits Using Standard SOI CMOS Process up to 300°C," in IEEE Access, vol. 12, pp. 57236-57249, 2024, doi:...

Federico Giulio, Carrara Fabio, Amato Giuseppe and Di Benedetto Marco: "Spatio-Temporal 3D Reconstruction from Frame Sequences and Feature Points"

Reconstructing a large real environment is a fundamental task to promote eXtended Reality adoption in industrial and entertainment fields. However, the short range of depth cameras, the sparsity of LiDAR sensors, and the huge computational cost of...

Colantonio, S., Berti, A., Buongiorno, R., Del Corso, G., Pachetti, E., Pascali, M. A., ... & Tsiknakis, M. (2023, December). AI trustworthiness in prostate cancer imaging: a look at algorithmic and system transparency. In 2023 IEEE EMBS Special Topi

A responsible approach to artificial intelligence and machine learning technologies, grounded in sound scientific foundations, technical robustness, rigorous testing and validation, risk-based continuous monitoring and alignment with human values is...

Pachetti, E., & Colantonio, S. (2024). Hallucinating for Diagnosing: One-Shot Medical Image Classification Leveraging Score-Based Generative Models. In Medical Imaging with Deep Learning.

Deep learning models in data-scarce domains, such as medical imaging, often suffer from poor performance due to the challenges of acquiring large amounts of labeled data. Few-shot learning offers a promising solution to this problem. This work proposes...

Pachetti, E. & Colantonio, S. (2024). Seeing More with Less: Meta-Learning and Diffusion Models for Tumor Characterization in Low-data Settings

While deep learning excels in many areas, its application in medicine is hindered by limited data, which restricts model generalizability. Few-shot learning has emerged as a potential solution to this problem. In this work, we leverage the strengths of...

Pachetti, E., Tsaftaris, S. A., & Colantonio, S. (2024). Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification. arXiv preprint arXiv:2403.17530.

Background and objective: Employing deep learning models in critical domains such as medical imaging poses challenges associated with the limited availability of training data. We present a strategy for improving the performance and generalization...

Pachetti, E., Del Corso, G., Bardelli, S., & Colantonio, S. (2024). Few-Shot Conditional Learning: Automatic and Reliable Device Classification for Medical Test Equipment. Journal of Imaging, 10(7).

The limited availability of specialized image databases (particularly in hospitals, where tools vary between providers) makes it difficult to train deep learning models. This paper presents a few-shot learning methodology that uses a pre-trained ResNet...

F. Fiorini, M. Pagano, R.G. Garroppo, A. Osele: "Estimating Interception Density in the BB84 Protocol: A Study with a Noisy Quantum Simulator", Future Internet 2024, 16, 275

Quantum computers have the potential to break the public-key cryptosystems widely used in key exchange and digital signature applications. To address this issue, quantum key distribution (QKD) offers a robust countermeasure against quantum computer...

Cima, L., Mannocci, L., Avvenuti, M., Tesconi, M., & Cresci, S. (2024). Coordinated behavior in information operations on Twitter. IEEE Access.

Online information operations (IOs) refer to organized attempts to tamper with the regular flow of information and to influence public opinion. Coordinated online behavior is a tactic frequently used by IO perpetrators to boost the spread and outreach...

Cima, L., Trujillo, A., Avvenuti, M., & Cresci, S. The Great Ban: Efficacy and Unintended Consequences of a Massive Deplatforming Operation on Reddit. 2024 Companion Publication of the 16th ACM Web Science Conference (pp. 85-93).

In the current landscape of online abuses and harms, effective content moderation is necessary to cultivate safe and inclusive online spaces. Yet, the effectiveness of many moderation interventions is still unclear. Here, we assess the effectiveness of...

Coupling synthetic and real-world data for a deep learning-based segmentation process of 4D flow MRI

L. Lemmi, C. Puliafito, A. Virdis, E. Mingozzi: "SRv6-Based Edge Service Continuity in 5G Mobile Networks", Future Internet 2024, 16(4), 138.

Ensuring compliance with the stringent latency requirements of edge services requires close cooperation between the network and computing components. Within mobile 5G networks, the nomadic behavior of users may impact the performance of edge services,...

L. Lemmi, C. Puliafito, A. Virdis, E. Mingozzi: "Ensuring Lossless Workload Migration at the Edge with SRv6", 2023 IEEE Conference on Network Function Virtualization and Software Defined Networks, pp. 53 - 58

In the context of edge computing, service migration between servers may be needed, for example, to support end user mobility or for load balancing purposes. In this work, we propose a novel solution for service continuity in the presence of workload...

R. Di Rienzo. C. Sandri et al., "Inductive Low-cost System to Measure the Volume Variation of Prismatic Lithium-ion Cells," 2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON), 2023

Battery use is continuously on the rise for several applications as proven by the rapid growth of electric vehicles market. The development of more accurate battery control and estimation algorithms is an essential requirement to enhance battery...

Lavezzo, L., Gargano, A., Scilingo, E. P., & Nardelli, M. (2024). Zooming into the Complex Dynamics of Electrodermal Activity Recorded during Emotional Stimuli: A Multiscale Approach. Bioengineering, 11(6), 520.

Physiological phenomena exhibit complex behaviours arising at multiple time scales. To investigate them, techniques derived from chaos theory were applied to physiological signals, providing promising results in distinguishing between healthy and...

F. Mancuso, E. Giusti, B. Ng and M. Martorella, "Dual-Frequency Phase Unwrapping for 3D InISAR Imaging of Non-Cooperative Targets," in IEEE Transactions on Radar Systems, vol. 2, pp. 434-445, 2024, doi: 10.1109/TRS.2024.3392073

The Three-Dimensional Interferometric Inverse Synthetic Aperture Radar Imaging (3D InISAR) method tackles the interpretability challenges associated with two-dimensional ISAR. It achieves this by providing a 3D representation of the target, offering a...

Olivelli, M.; Donati, M.; Vianello, A.; Petrucci, I.; Masi, S.; Bechini, A.; Fanucci, L. - "Enhancing Precision of Telemonitoring of COVID-19 Patients through Expert System Based on IoT Data Elaboration"

Abstract: The emergence of the highly contagious coronavirus disease has led to multiple pandemic waves, resulting in a significant number of hospitalizations and fatalities. Even outside of hospitals, general practitioners have faced serious...