Zobrazeno 1 - 10
of 32 952
pro vyhledávání: '"Giusti, A."'
Social robots are required not only to understand human intentions but also to effectively communicate their intentions or own internal states to users. This study explores the use of sonification to provide explicit auditory feedback, enhancing mutu
Externí odkaz:
http://arxiv.org/abs/2411.09299
We propose a machine learning-based estimator of the hand state for rehabilitation purposes, using light exoskeletons. These devices are easy to use and useful for delivering domestic and frequent therapies. We build a supervised approach using infor
Externí odkaz:
http://arxiv.org/abs/2411.09294
Autor:
Glerean, Filippo, Rigoni, Enrico Maria, Jarc, Giacomo, Mathengattil, Shahla Yasmin, Montanaro, Angela, Giusti, Francesca, Mitrano, Matteo, Benatti, Fabio, Fausti, Daniele
Measuring fluctuations in matter's low energy excitations is the key to unveil the nature of the nonequilibrium response of materials. A promising outlook in this respect is offered by spectroscopic methods that address matter fluctuations by exploit
Externí odkaz:
http://arxiv.org/abs/2411.08855
Autor:
Protani, Andrea, Giusti, Lorenzo, Aillet, Albert Sund, Sacco, Simona, Manganotti, Paolo, Marinelli, Lucio, Santos, Diogo Reis, Brutti, Pierpaolo, Caliandro, Pietro, Serio, Luigi
Machine learning (ML) has the potential to become an essential tool in supporting clinical decision-making processes, offering enhanced diagnostic capabilities and personalized treatment plans. However, outsourcing medical records to train ML models
Externí odkaz:
http://arxiv.org/abs/2411.02286
Autor:
Fusi, Elia, Giusti, Federico
Given a compact Chern-Ricci flat balanced orbifold, we show that its blow-up at a finite family of smooth points admits constant Chern scalar curvature balanced metrics, extending Arezzo-Pacard's construction to the balanced setting. Moreover, if the
Externí odkaz:
http://arxiv.org/abs/2410.22241
Autor:
Giusti, Leonardo, Bresciani, Matteo, Brida, Mattia Dalla, Harris, Tim, Laudicina, Davide, Pepe, Michele, Rescigno, Pietro
We present a recently introduced strategy to study non-perturbatively thermal QCD up to temperatures of the order of the electro-weak scale, combining step scaling techniques and shifted boundary conditions. The former allow to renormalize the theory
Externí odkaz:
http://arxiv.org/abs/2410.12626
Autor:
Lien, Jaime, Olascoaga, Laura I. Galindez, Dogan, Hasan, Gillian, Nicholas, Barbello, Brandon, Giusti, Leonardo, Poupyrev, Ivan
The objective of this work is to develop an AI foundation model for physical signals that can generalize across diverse phenomena, domains, applications, and sensing apparatuses. We propose a phenomenological approach and framework for creating and v
Externí odkaz:
http://arxiv.org/abs/2410.14724
Autor:
Santos, Diogo Reis, Protani, Andrea, Giusti, Lorenzo, Aillet, Albert Sund, Brutti, Pierpaolo, Serio, Luigi
Early detection of atrial fibrillation (AFib) is challenging due to its asymptomatic and paroxysmal nature. However, advances in deep learning algorithms and the vast collection of electrocardiogram (ECG) data from devices such as the Internet of Thi
Externí odkaz:
http://arxiv.org/abs/2410.19781
We propose a self-supervised approach for visual robot detection and heading estimation by learning to estimate the states (OFF or ON) of four independent robot-mounted LEDs. Experimental results show a median image-space position error of 14 px and
Externí odkaz:
http://arxiv.org/abs/2410.04536
We consider a service robot that offers chocolate treats to people passing in its proximity: it has the capability of predicting in advance a person's intention to interact, and to actuate an "offering" gesture, subtly extending the tray of chocolate
Externí odkaz:
http://arxiv.org/abs/2410.03287