|
|
|
|
|
Dawei Luo, Heng Zhou, Joonsoo Bae and Bom Yun
Reliability and robustness are fundamental requisites for the successful integration of deep-learning models into real-world applications. Deployed models must exhibit an awareness of their limitations, necessitating the ability to discern out-of-distrib...
ver más
|
|
|
|
|
|
|
|
|
Rami Malkawi, Mohammad Daradkeh, Ammar El-Hassan and Pavel Petrov
Automated citation analysis is becoming increasingly important in assessing the scientific quality of publications and identifying patterns of collaboration among researchers. However, little attention has been paid to analyzing the scientific content of...
ver más
|
|
|
|
|
|
|
|
|
Zheng Han, Zhihui Li, Zhiyong Bai, Xuguo Li and Jiazhong Zhang
There has been a concern that the accurate numerical simulation of multi-body flow, which is caused by the multiple disintegrations of expired spacecraft re-entering into the near space, has a critical bottleneck impact on the falling area of the disinte...
ver más
|
|
|
|
|
|
|
|
|
Francesco Bassi, Lorenzo Alessio Botti, Alessandro Colombo and Francesco Carlo Massa
Multi-component flow problems are typical of many technological and engineering applications. In this work, we propose an implicit high-order discontinuous Galerkin discretization of the variable density incompressible (VDI) flow model for the simulation...
ver más
|
|
|
|
|
|
|
|
|
Stefano Silvestrini, Margherita Piccinin, Giovanni Zanotti, Andrea Brandonisio, Paolo Lunghi and Michèle Lavagna
The exploration of celestial bodies such as the Moon, Mars, or even smaller ones such as comets and asteroids, is the next frontier of space exploration. One of the most interesting and attractive purposes from the scientific point of view in this field,...
ver más
|
|
|
|