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...

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ABSTRACT This work presents the design and synthesis of a processing unit for numbers encoded according to the recently introduced BAN format. Such an encoding allows one to represent numbers which are not only finite (as the reals) but also infinitely...

Lai L., Fiaschi L., Cococcioni C., and Kalyanmoy D. Pure and mixed lexicographic-paretian many-objective optimization: state of the art. Natural Computing, 1:1–16, 2022, doi:10.1007/s11047-022-09911-4.

ABSTRACT This work aims at reviewing the state of the art of the field of lexicographic multi/many-objective optimization. The discussion starts with a review of the literature, emphasizing the numerous application in the real life and the recent burst...

Cococcioni M., Fiaschi L., and Lambertini L. On impure prisoners’ dilem- mas, folk theorems, and correlation devices. In EARIE 2022 (VIENNA), 2022. to appear.

ABSTRACT As is well known, players involved in a prisoners' dilemma mayAs is well known, players involved in a prisoners' dilemma maysolve it through its repetition over an infinite horizon, provided theirdiscount factors meet the requirement arising...

Cococcioni M., Fiaschi L., and Lermusiaux P. Game theory for unmanned vehicles path planning in the marine domain: state of the art and new possibilities. Journal of Maritime Science and Engineering, 9:1175, 2021, doi:10.3390/jmse9111175

ABSTRACT Thanks to the advent of new technologies and higher real-time computational capabilities, the use of unmanned vehicles in the marine domain has received a significant boost in the last decade. Ocean and seabed sampling, missions in dangerous...

Moglioni M., Kraan A. C., et al. "In-vivo range verification analysis with in-beam PET data for patients treated with proton therapy at CNAO". In: Frontiers in Oncology

Nome Journal: Frontiers in oncology Data pubblicazione: 26 September 2022 Autori: Martina Moglioni, Aafke Christine Kraan, Guido Baroni, Giuseppe Battistoni, Nicola Belcari, Andrea Berti, Pietro Carra, Piergiorgio Cerello, Mario Ciocca, Angelica De...

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Titolo convegno/congresso: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 27-30/09/2022, Ioannina (Greece). Autori: Andrea Berti (1,2,*), Gianluca Carloni (1,2,*), Sara Colantonio (1), M. Antonietta Pascali (1), Paolo...

Berti A. & Carloni G., et al. "Data Models for an Imaging Bio-bank for Colorectal, Prostate and Gastric Cancer: the NAVIGATOR Project" in IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2022

Titolo convegno/congresso: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 27-30/09/2022, Ioannina (Greece). Autori: Andrea Berti (1,2,*), Gianluca Carloni (1,2,*), Sara Colantonio (1), M. Antonietta Pascali (1), Paolo...

Carloni G. & Berti A., et al. "On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet" in ICPR 2022 International Conference on Pattern Recognition - AIHA 2nd International Workshop, 2022

Titolo convegno/congresso: ICPR 2022 International Conference on Pattern Recognition - Artificial Intelligence for Healthcare Applications 2nd International Workshop Data/e convegno/congresso: 21-25/08/2022 Autori: Gianluca Carloni (1,2,*), Andrea...

Carloni, G., Berti, A., Iacconi, C., Pascali, M. A., & Colantonio, S. (2022, August). On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet. In Int Conf on Pattern Recognition

Titolo del convegno/congresso: ICPR 2022 International Conference on Pattern Recognition - Artificial Intelligence for Healthcare Applications 2nd International Workshop, 21-25/08/2022. Autori: Gianluca Carloni (1,2,*), Andrea Berti (1,2,*), Chiara...

P. Nannipieri et al., "ICU4SAT: A General-Purpose Reconfigurable Instrument Control Unit Based on Open Source Components," 2022 IEEE Aerospace Conference (AERO), 2022, pp. 1-9

As the number of earth observation missions in-creases, together with the number of images acquired by satel-lites, the need for optimizing onboard memory allocation and bandwidth to the ground is becoming more and more critical. Currently, large...

D. Orlandi, F. A. Galatolo, M. G. C. A. Cimino, A. L. Rosa, C. Pagli and N. Perilli, "Enhancing land subsidence awareness via InSAR data and Deep Transformers," 2022 IEEE CogSIMA

D. Orlandi, F. A. Galatolo, M. G. C. A. Cimino, A. L. Rosa, C. Pagli and N. Perilli, "Enhancing land subsidence awareness via InSAR data and Deep Transformers," 2022 IEEE Conference on Cognitive and Computational Aspects of Situation Management...

Scarciglia, A., Catrambone, V., Bonanno, C., & Valenza, G. (2022, July). Multiscale partition-based Kolmogorov-Sinai Entropy: a preliminary HRV study on Heart Failure vs. Atrial Fibrillation. In 2022 44th Annual International Conference of the IEEE

Scarciglia, A., Catrambone, V., Bonanno, C., & Valenza, G. (2022). A Multiscale Partition-Based Kolmogorov–Sinai Entropy for the Complexity Assessment of Heartbeat Dynamics. Bioengineering, 9(2), 80.

"Intelligent Reconfigurable Surfaces vs. Decode-and-Forward: What is the Impact of Electromagnetic Interference?," IEEE 23rd International Workshop on Signal Processing Advances

D. A. Coccomini, R. Caldelli, F. Falchi, C. Gennaro, and G. Amato. 2022. Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection. In Proceedings of International Workshop on Multimedia AI against Disinformation, NY, USA

Deepfake Generation Techniques are evolving at a rapid pace, making it possible to create realistic manipulated images and videos and endangering the serenity of modern society. The continual emergence of new and varied techniques brings with it a...

D. A. Coccomini, N. Messina, C. Gennaro, and F. Falchi. 2022. Combining EfficientNet and Vision Transformers for Video Deepfake Detection. In Image Analysis and Processing – ICIAP 2022: 21st International Conference, Lecce, Italy, May 23–27, 2022

Deepfakes are the result of digital manipulation to forge realistic yet fake imagery. With the astonishing advances in deep generative models, fake images or videos are nowadays obtained using variational autoencoders (VAEs) or Generative Adversarial...

P. Seghetti, N. Biasi, et al. Low cardiac frequency associated with higher number of extrasistoles in a computational model of Brugada Syndrome. In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society

Brugada Syndrome is a form of idiopathic ventricular fibrillation, to date there is no definitive theory about how ventricular fibrillation is initiated or its substrate. Starting from the clinical observation that cardiac episodes are more frequent at...