|
|
|
|
|
Junyi Chen, Yanyun Shen, Yinyu Liang, Zhipan Wang and Qingling Zhang
Aircraft detection in SAR images of airports remains crucial for continuous ground observation and aviation transportation scheduling in all weather conditions, but low resolution and complex scenes pose unique challenges. Existing methods struggle with ...
ver más
|
|
|
|
|
|
|
|
|
Jiaming Bian, Ye Liu and Jun Chen
In recent times, remote sensing image super-resolution reconstruction technology based on deep learning has experienced rapid development. However, most algorithms in this domain concentrate solely on enhancing the super-resolution network?s performance ...
ver más
|
|
|
|
|
|
|
|
|
Marta Hervás, Fernando Martínez-Alzamora, Pilar Conejos and Joan Carles Alonso
In this paper, several methods for the calculation of water quality evolution in drinking water distribution networks are analysed. The Lagrangian Time-Driven method has been implemented in the Epanet simulation software since version 2.0. In version 2.2...
ver más
|
|
|
|
|
|
|
|
|
Xiaoou Li
This paper tackles the challenge of time series forecasting in the presence of missing data. Traditional methods often struggle with such data, which leads to inaccurate predictions. We propose a novel framework that combines the strengths of Generative ...
ver más
|
|
|
|
|
|
|
|
|
Jinghua Li, Yidong Chen, Lei Zhou, Ruipu Dong, Wenhao Yin, Wenhao Huang and Fan Zhang
In the context of increasingly competitive shipbuilding, the flexible multi-level picking system, composed of high-rise shelves, Automated Guided Vehicles (AGVs), and picking stations, has been of gradual interest because of its advantages in operation e...
ver más
|
|
|
|