Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Alessio del Bue"'
Autor:
Serena Vittorio, Filippo Lunghini, Pietro Morerio, Davide Gadioli, Sergio Orlandini, Paulo Silva, Jan Martinovic, Alessandro Pedretti, Domenico Bonanni, Alessio Del Bue, Gianluca Palermo, Giulio Vistoli, Andrea R. Beccari
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 2141-2151 (2024)
Molecular docking is a widely used technique in drug discovery to predict the binding mode of a given ligand to its target. However, the identification of the near-native binding pose in docking experiments still represents a challenging task as the
Externí odkaz:
https://doaj.org/article/ccdbf80f896a465092452dc83d441d51
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/275d8deaf8024b9b8dedc08e58500fc3
Publikováno v:
IEEE Access, Vol 12, Pp 66964-66980 (2024)
The widespread use of visual surveillance in public areas puts individual privacy at stake while also increasing resource usage (energy, bandwidth, and computation). Neuromorphic vision sensors (or event cameras) are considered viable solutions for p
Externí odkaz:
https://doaj.org/article/058c6719ebe043459d1b6ec56630820e
Publikováno v:
IEEE Access, Vol 12, Pp 61767-61779 (2024)
Active objects are those in contact with the first person in an egocentric video. This paper addresses the challenge of anticipating the future location of the next active object in relation to a person within a given egocentric video clip, which is
Externí odkaz:
https://doaj.org/article/e88b5274ec2b47bd91bba7988a5e94ea
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
For animals to locate resources and stay safe, navigation is an essential cognitive skill. Blind people use different navigational strategies to encode the environment. Path integration significantly influences spatial navigation, which is the ongoin
Externí odkaz:
https://doaj.org/article/b1b549402fac47a4813502734bb5c877
Publikováno v:
Frontiers in Computer Science, Vol 5 (2023)
Unsupervised Human Action Recognition (U-HAR) methods currently leverage large-scale datasets of human poses to solve this challenging problem. As most of the approaches are dedicated to reaching the best recognition accuracies, no attention has been
Externí odkaz:
https://doaj.org/article/8c367624936e43de9dcbbdcfd27cf074
Publikováno v:
IEEE Access, Vol 10, Pp 131128-131143 (2022)
This paper presents an unsupervised feature learning approach based on 3D-skeleton data for human action and human discrete emotion recognition. Relying on the time series of skeleton data analysis to perform such tasks is effective and important to
Externí odkaz:
https://doaj.org/article/87fd47ecd354425794c09f189371438f
Autor:
Nicola Domenici, Valentina Sanguineti, Pietro Morerio, Claudio Campus, Alessio Del Bue, Monica Gori, Vittorio Murino
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0280987 (2023)
Our brain constantly combines sensory information in unitary percept to build coherent representations of the environment. Even though this process could appear smooth, integrating sensory inputs from various sensory modalities must overcome several
Externí odkaz:
https://doaj.org/article/4a8fdb7382cd4808a7c8dd284a269299
Publikováno v:
Data in Brief, Vol 44, Iss , Pp 108557- (2022)
This data article presents an online yarn spinning dataset for evaluation and benchmarking of a variety of image processing algorithms and computer vision models for imaging based testing of textile yarn quality. The dataset comprises of continuous y
Externí odkaz:
https://doaj.org/article/0e54ba1456a541bf8d76d614ebc0f355
Autor:
Domenico Bonanni, Mattia Litrico, Waqar Ahmed, Pietro Morerio, Tiziano Cazzorla, Elisa Spaccapaniccia, Franca Cattani, Marcello Allegretti, Andrea Rosario Beccari, Alessio Del Bue, Franck Martin
Publikováno v:
Fermentation, Vol 9, Iss 6, p 503 (2023)
Fermentation is a widely used process in the biotechnology industry, in which sugar-based substrates are transformed into a new product through chemical reactions carried out by microorganisms. Fermentation yields depend heavily on critical process p
Externí odkaz:
https://doaj.org/article/3b46907b3ebd4b0c886834f03ce2fb00