Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Alessandro, Simoni"'
Publikováno v:
IEEE Access, Vol 12, Pp 166660-166673 (2024)
In recent years, there has been a notable surge in the significance attributed to technologies facilitating secure and efficient cohabitation and collaboration between humans and machines, with a particular interest in robotic systems. A pivotal elem
Externí odkaz:
https://doaj.org/article/bcda3121d1304ac6a9c69c97fde65f85
Autor:
Zhitian Qiao, Tonglu Li, Alessandro Simoni, Carlo Gregoretti, Martino Bernard, Shuangshuang Wu, Wei Shen, Matteo Berti
Publikováno v:
Frontiers in Earth Science, Vol 10 (2023)
Numerical models have become a useful tool for predicting the potential risk caused by debris flows. Although a variety of numerical models have been proposed for the runout simulation of debris flows, the performances of these models in simulating s
Externí odkaz:
https://doaj.org/article/cce016cb2cb148729635ec15ccaaddb5
Autor:
Andrea D’Eusanio, Alessandro Simoni, Stefano Pini, Guido Borghi, Roberto Vezzani, Rita Cucchiara
Publikováno v:
Pattern Recognition Letters.
Publikováno v:
Applied Sciences, Vol 11, Iss 7, p 3156 (2021)
Landslides are widespread geological features in Italy’s Northern Apennines, with slow-moving earthflows among the most common types. They develop in fine-grained rocks and are subject to periodic rainfall-induced reactivations alternating to phase
Externí odkaz:
https://doaj.org/article/8ea1110fdc1b41e18a7e1c8533b1274e
Autor:
Andrea D’Eusanio, Alessandro Simoni, Stefano Pini, Guido Borghi, Roberto Vezzani, Rita Cucchiara
Publikováno v:
Informatics, Vol 7, Iss 3, p 31 (2020)
The recent spread of low-cost and high-quality RGB-D and infrared sensors has supported the development of Natural User Interfaces (NUIs) in which the interaction is carried without the use of physical devices such as keyboards and mouse. In this pap
Externí odkaz:
https://doaj.org/article/c6da4d4992c3450daca32d6b7b28be03
Publikováno v:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064265
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31f866aa42cd44f6806ecf9241540bcd
https://hdl.handle.net/11380/1286859
https://hdl.handle.net/11380/1286859
Publikováno v:
Università degli studi di Modena e Reggio Emilia-IRIS
Knowing the exact 3D location of workers and robots in a collaborative environment enables several real applications, such as the detection of unsafe situations or the study of mutual interactions for statistical and social purposes. In this paper, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::214073391f17a183647c667a3f873ad3
Autor:
Francesco Ponziani, Pierpaolo Ciuffi, Benedikt Bayer, Nicola Berni, Silvia Franceschini, Alessandro Simoni
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
VISIGRAPP (5: VISAPP)
In this paper, we present a novel multi-task framework which aims to improve the performance of car model classification leveraging visual features and pose information extracted from single RGB images. In particular, we merge the visual features obt