|
|
|
|
|
Ping Wu, Linxi Yang, Wangxin Li, Jiamin Huang and Yidong Xu
The challenging nature of nearshore tunnel construction environments introduces a multitude of potential hazards, consequently escalating the likelihood of incidents such as water influx. Existing construction safety risk management methodologies often d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuan Fu, Yu Liu and Yan Yang
To address the problem of the low recognition rate of time-frequency domain methods gearbox fault identification, a method featuring decision-level fusion of DS evidence theory and GA-BP algorithm was proposed in the present study. Firstly, the fault dat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liangrui Tang, Zhilin Lu and Bing Fan
In energy-constrained wireless sensor networks, low energy utilization and unbalanced energy distribution are seriously affecting the operation of the network. Therefore, efficient and reasonable routing algorithms are needed to achieve higher Quality of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liangrui Tang and Zhilin Lu
Wireless sensor networks (WSNs) can provide data acquisition for long-term environment monitoring, which are important parts of Internet of Things (IoT). In the WSN-assisted IoT, energy efficient routing algorithms are required to maintain a long network...
ver más
|
|
|
|
|
|
|
|
|
|
|
Junjie Lu, Jinquan Huang and Feng Lu
Kernel extreme learning machine (KELM) has been widely studied in the field of aircraft engine fault diagnostics due to its easy implementation. However, because its computational complexity is proportional to the training sample size, its application in...
ver más
|
|
|
|
|
|