|
|
|
|
|
Luis Adán Félix-Salazar, Emigdio Marín-Enríquez, Eugenio Alberto Aragón-Noriega and Jorge Saul Ramirez-Perez
During the last 50 years, the increase in the efforts of the longline fleet in the Eastern Pacific Ocean (EPO) resulted in an increase in the capture of the swordfish Xiphias gladius. We analyzed a historical database of swordfish catches (1980?2020) rep...
ver más
|
|
|
|
|
|
|
|
|
Xiaolei Liu, Kan Wang, Yuru He, Yang Ming and Hao Wang
To extend initial ignition-related fire prevention in ship engine room, this work presents a case study of marine diesel leakage for identifying accidental ignition by hot surface. Based on a self-designed experimental platform, a full-scale innovative e...
ver más
|
|
|
|
|
|
|
|
|
Xiaochuan Sun, Jiahui Gao and Yu Wang
During the deployment of practical applications, reservoir computing (RC) is highly susceptible to radiation effects, temperature changes, and other factors. Normal reservoirs are difficult to vouch for. To solve this problem, this paper proposed a rando...
ver más
|
|
|
|
|
|
|
|
|
Jin Zhang, Yiqi Huang, Yu Pi, Cheng Sun, Wangyang Cai and Yuanyuan Huang
With the continuous development of the software industry, software is gradually becoming more inclined towards containerized deployment. This paper provides a prediction algorithm based on deep learning to monitor and record the resource usage of the mac...
ver más
|
|
|
|
|
|
|
|
|
Lingbo Nan, Yumeng Wang, Diyi Chen, Weining Huang, Zuchao Zhu and Fusheng Liu
Traditional centrifugal pump performance prediction (CPPP) employs the semi-theoretical and semi-empirical approaches; however, it can lead to many prediction errors. Considering the superiority of deep learning when applied to nonlinear systems, in this...
ver más
|
|
|
|