Saponara, S., Elhanashi, A., & Gagliardi, A. (2021). Real-time video fire/smoke detection based on CNN in antifire surveillance systems. Journal of Real-Time Image Processing, 18(3), 889-900.

Gagliardi, A., de Gioia, F., & Saponara, S. (2021). A real-time video smoke detection algorithm based on Kalman filter and CNN. Journal of Real-Time Image Processing, 1-11. https://doi.org/10.1007/s11554-021-01094-y

Bresciani, M.; Ruscio, F.; Tani, S.; Peralta, G.; Timperi, A.; Guerrero-Font, E.; Bonin-Font, F.; Caiti, A.; Costanzi, R. Path Planning for Underwater Information Gathering Based on Genetic Algorithms and Data Stochastic Models. J. Mar. Sci. Eng. 202

Baldanzi, L., Crocetti, L., Di Matteo, S., Fanucci, L., Saponara, S., and Hameau, P. (2019, November). "Crypto Accelerators for Power-Efficient and Real-Time on-Chip Implementation of Secure Algorithms". 2019 26th IEEE ICECS. (pp. 775-778). IEEE

The demand for data exchange is ever growing. Internet of Things (IoT), industry 4.0, smart city and next-generation interconnected vehicles are some examples of scenarios in which a high volume of nodes share data across networks. Hence, the data...

Di Matteo, S., Baldanzi, L., Crocetti, L., Nannipieri, P., Fanucci, L., and Saponara, S. (2021, August). "Secure Elliptic Curve Crypto-Processor for Real-Time IoT Applications". Energies. (Vol. 14(15), art. 4676). MDPI

Cybersecurity is a critical issue for Real-Time IoT applications since high performance and low latencies are required, along with security requirements to protect the large number of attack surfaces to which IoT devices are exposed. Elliptic Curve...

Nannipieri, P., Di Matteo, S., Baldanzi, L., Crocetti, L., Belli, J., Fanucci, L., and Saponara, S. (2021, April). "True Random Number Generator Based on Fibonacci Galois Ring Oscillators for FPGA". Applied Sciences. (Vol. 11(8), art. 3330). MDPI

Random numbers are widely employed in cryptography and security applications. If the generation process is weak, the whole chain of security can be compromised: these weaknesses could be exploited by an attacker to retrieve the information, breaking...

Nannipieri, P., Bertolucci, M., Baldanzi, L., Crocetti, L., Di Matteo, S., Falaschi, F., Fanucci, L., and Saponara, S. (2020, November). "SHA2 and SHA-3 Accelerator Design in a 7nm Technology Within the European Processor Initiative". Microprocessors

This paper proposes the architecture of the hash accelerator, developed in the framework of the European Processor Initiative. The proposed circuit supports all the SHA2 and SHA-3 operative modes and is to be one of the hardware cryptographic...

Crocetti, L., Baldanzi, L., Bertolucci, M., Sarti, L., Carnevale, B., and Fanucci, L. (2019, September). "A simulated approach to evaluate side-channel attack countermeasures for the Advanced Encryption Standard". Integration. (Vol. 68, pp. 80-86).

Modern networks have critical security needs and a suitable level of protection and performance is usually achieved with the use of dedicated hardware cryptographic cores. Although the Advanced Encryption Standard (AES) is considered the best approach...

Messina, N., Amato, G., Esuli, A., Falchi, F., Gennaro, C., and Marchand-Maillet, S. (2020). Fine-grained Visual Textual Alignment for Cross-modal Retrieval using Transformer Encoders. TOMM. ACM

Messina, N., Amato, G., Carrara, F., Gennaro, C., & Falchi, F. (2021). Solving the same-different task with convolutional neural networks. Pattern Recognition Letters, 143, 75-80.

Messina, N., Amato, G., Falchi, F., Gennaro, C., and Marchand-Maillet, S. (2021). Towards Efficient Cross-Modal Visual Textual Retrieval using Transformer-Encoder Deep Features. CBMI 2021. (pp. 1-6). IEEE.

Amato, G., Bolettieri, P., Falchi, F., Gennaro, C., Messina, N., Vadicamo, L., & Vairo, C. (2021, June). VISIONE at Video Browser Showdown 2021. In International Conference on Multimedia Modeling (pp. 473-478). Springer, Cham.

Messina, N., Falchi, F., Gennaro, C., & Amato, G. (2021, August). AIMH at SemEval-2021 Task 6: multimodal classification using an ensemble of transformer models. In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)

E. Botte, F. Biagini, C. Magliaro, A. Rinaldo, A. Maritan and A. Ahluwalia: "Scaling of joint mass and metabolism fluctuations in in-silico cell-laden spheroids", Proceedings of the National Academy of Sciences (PNAS)

ABSTRACT Variations and fluctuations are characteristic features of biological systems and are also manifested in cell cultures. Here we describe a computational pipeline for identifying the range of 3-dimensional (3D) cell aggregate sizes in which...

One-Pot Process: Microwave-Assisted Keratin Extraction and Direct Electrospinning to Obtain Keratin-Based Bioplastic

Bioprinting for bone tissue engineering

4D printing in biomedical applications: emerging trends and technologies

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...

Verani, A., Di Rienzo, R., Baronti, F., Roncella, R., Saletti, R. (2022). Analysis of Thermal-Induced Shunt Current Sensor Errors in a Low-Cost Battery Management System. In: Saponara, S., De Gloria, A. (eds) Applications in Electronics Pervading Ind

Lithium-Ion batteries are becoming a standard solution for automotive applications. These batteries must be equipped with a Battery Management System that monitors and controls the battery avoiding hazardous situations. The battery current measurement...