Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Berti, Stefano"'
Turbulent flows at the surface of the ocean deviate from geostrophic equilibrium on scales smaller than about 10 km. These scales are associated with important vertical transport of active and passive tracers, and should play a prominent role in the
Externí odkaz:
http://arxiv.org/abs/2406.03915
Addressing multi-label action recognition in videos represents a significant challenge for robotic applications in dynamic environments, especially when the robot is required to cooperate with humans in tasks that involve objects. Existing methods st
Externí odkaz:
http://arxiv.org/abs/2405.08695
Publikováno v:
Phys. Fluids 35, 126601 (2023)
Upper-ocean turbulent flows at horizontal length scales smaller than the deformation radius depart from geostrophic equilibrium and develop important vertical velocities, which are key to marine ecology and climatic processes. Due to their small size
Externí odkaz:
http://arxiv.org/abs/2309.05684
Publikováno v:
Eur. Phys. J. Plus 137, 1387 (2022)
Plankton dynamics depend in a complex manner on a variety of physical phenomena, according to both experimental and numerical data. In particular, experimental field studies have highlighted the relation between phytoplankton survival and turbulent u
Externí odkaz:
http://arxiv.org/abs/2211.04197
Publikováno v:
IEEE International Conference on Humanoid Robots, 2022
Many robotic tasks involving some form of 3D visual perception greatly benefit from a complete knowledge of the working environment. However, robots often have to tackle unstructured environments and their onboard visual sensors can only provide inco
Externí odkaz:
http://arxiv.org/abs/2209.04300
Publikováno v:
IEEE International Conference on Humanoid Robots, 2022
Action recognition is a fundamental capability for humanoid robots to interact and cooperate with humans. This application requires the action recognition system to be designed so that new actions can be easily added, while unknown actions are identi
Externí odkaz:
http://arxiv.org/abs/2209.04288
Publikováno v:
Eur. Phys J. Plus 137:184 (2022)
We study a predator-prey model of plankton dynamics in the two and three-dimensional wakes of turbulent flows behind a cylinder, focusing on the impact of the three-dimensional character of the carrying velocity field on population variance spectra a
Externí odkaz:
http://arxiv.org/abs/2111.01688
Publikováno v:
Phys. Rev. E, 104, 065106 (2021)
Turbulence has been recognized as a factor of paramount importance for the survival or extinction of sinking phytoplankton species. However, dealing with its multiscale nature in models of coupled fluid and biological dynamics is a formidable challen
Externí odkaz:
http://arxiv.org/abs/2109.11236
The polyphonic nature of music makes the application of deep learning to music modelling a challenging task. On the other hand, the Transformer architecture seems to be a good fit for this kind of data. In this work, we present Calliope, a novel auto
Externí odkaz:
http://arxiv.org/abs/2107.05546
Publikováno v:
Phys. Rev. Fluids 6, 103802 (2021)
Plankton constitutes the productive base of aquatic ecosystems and plays an essential role in the global carbon cycle. The impact of hydrodynamic conditions on the biological activity of plankton species can manifest in a variety of different ways an
Externí odkaz:
http://arxiv.org/abs/2105.05647