|
|
|
Enrico Ferrari, Damiano Verda, Nicolò Pinna and Marco Muselli
Optimizing water distribution both from an energy-saving perspective and from a quality of service perspective is a challenging task since it involves a complex system with many nodes, many hidden variables and many operational constraints. For this reas...
ver más
|
|
|
|
|
|
Jiansong Tang, Ruijia Yang, Qiangsheng Dai, Gaoteng Yuan and Yingchi Mao
Climate change has increased the frequency of various types of meteorological disasters in recent years. Finding the primary factors that limit the emergency response capability of meteorological disasters through the evaluation of that capability and pr...
ver más
|
|
|
|
|
|
Rui P. R. Nogueira, Rui Melicio, Duarte Valério and Luís F. F. M. Santos
This paper proposes a model capable of predicting fatal occurrences in aviation events such as accidents and incidents, using as inputs the human factors that contributed to each incident, together with information about the flight. This is important bec...
ver más
|
|
|
|
|
|
Xinhui Xia, Yinghong Jia, Xinlong Wang and Jun Zhang
This paper studies the trajectory tracking control of a space robot system (SRS) in the presence of the lumped uncertainties with no prior knowledge of their upper bound. Although some related control methods have been proposed, most of them have either ...
ver más
|
|
|
|
|
|
Aleksei Triastcyn and Boi Faltings
We consider the problem of enhancing user privacy in common data analysis and machine learning development tasks, such as data annotation and inspection, by substituting the real data with samples from a generative adversarial network. We propose employi...
ver más
|
|
|