|
|
|
|
|
Kai Lu, Jing Liang, Mengnan Liu, Zhixiong Lu, Jinzhong Shi, Pengfei Xing and Lin Wang
Transmission efficiency is a key characteristic of Hydro-mechanical Continuously Variable Transmission (HMCVT), which is related to the performance of heavy-duty tractors. Predicting the HMCVT transmission efficiency is beneficial for the real-time adjus...
ver más
|
|
|
|
|
|
|
|
|
|
|
Faezeh Behzadi Pour, Lorena Parra, Jaime Lloret and Saman Abdanan Mehdizadeh
Acquiring the morphological parameters of fish with the traditional method (depending on human and non-automatic factors) not only causes serious problems, such as disease transmission, mortality due to stress, and carelessness and error, but it is also ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lihong Li, Jing Shi, Hao Liu, Ruyu Zhang and Chunbing Guo
Power construction projects (PCPs) consume a large amount of energy and contribute significantly to carbon emissions. There is relatively little research on carbon emission reduction in PCPs, especially in predicting carbon emission reduction from a dyna...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haifeng Li, Qing Chen, Chang Fu, Zhe Yu, Di Shi and Zhiwei Wang
Parameter identification in load models is a critical factor for power system computation, simulation, and prediction, as well as stability and reliability analysis. Conventional point estimation based composite load modeling approaches suffer from distu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ye Ma, Qing Chang, Huanzhang Lu and Junliang Liu
Recurrent neural networks (RNNs) remain challenging, and there is still a lack of long-term memory or learning ability in sequential data classification and prediction. In this paper, we propose a flexible recurrent model, BIdirectional COnvolutional RaN...
ver más
|
|
|
|
|
|