|
|
|
Fengxu Guan, Siqi Lu, Haitao Lai and Xue Du
Underwater optical imaging devices are often affected by the complex underwater environment and the characteristics of the water column, which leads to serious degradation and distortion of the images they capture. Deep learning-based underwater image en...
ver más
|
|
|
|
|
|
Massimo Pacella, Matteo Mangini and Gabriele Papadia
Considering the issue of energy consumption reduction in industrial plants, we investigated a clustering method for mining the time-series data related to energy consumption. The industrial case study considered in our work is one of the most energy-inte...
ver más
|
|
|
|
|
|
Tian-Tai Zhang, Chang-Lei Dai, Shu-Ling Li, Chen-Yao Zhang, Yi-Ding Zhang and Miao Yu
This study analyzed frost formation data provided by the Harbin Meteorological Bureau and considered geographic factors, temperature, and population density. Various analytical methods, including linear fitting, the Mann?Kendall mutation test, the Pettit...
ver más
|
|
|
|
|
|
Liang Li, Yiping Li, Yuexing Zhang, Gaopeng Xu, Junbao Zeng and Xisheng Feng
Effective communication between multiple autonomous underwater vehicles (AUVs) is necessary for formation control. As the most reliable underwater communication method, acoustic communication still has many constraints compared with radio communication, ...
ver más
|
|
|
|
|
|
Dascha Dobrovolskij and Katja Schladitz
Ultrasonic testing of polycrystalline media relies heavily on simulation of the expected signals in order to detect and correctly interpret deviations due to defects. Many effects disturb ultrasonic waves propagating in polycrystalline media. One of them...
ver más
|
|
|