|
|
|
|
|
Zuoxin Wang and Xiaohu Zhao
Most current non-intrusive load monitoring methods focus on traditional load characteristic analysis and algorithm optimization, lack knowledge of users? electricity consumption behavior habits, and have poor accuracy. We propose a novel attention-guided...
ver más
|
|
|
|
|
|
|
|
|
Jie Huang, Yunpeng Cui and Shuo Wang
Aspect-based sentiment analysis is a fine-grained sentiment analysis task that consists of two types of subtasks: aspect term extraction and aspect sentiment classification. In the aspect term extraction task, current methods suffer from the lack of fine...
ver más
|
|
|
|
|
|
|
|
|
Ruben Tapia-Olvera, Francisco Beltran-Carbajal and Antonio Valderrabano-Gonzalez
The synchronous generator is one of the most important active components in current electric power systems. New control methods should be designed to guarantee an efficient dynamic performance of the synchronous generator in strongly interconnected nonli...
ver más
|
|
|
|
|
|
|
|
|
Yi Li, Nan Wang, Jinlong Li and Yu Zhang
Although the existing deblurring methods for defocused images are capable of approximately recovering clear images, they still exhibit certain limitations, such as ringing artifacts and remaining blur. Along these lines, in this work, a novel deep-learni...
ver más
|
|
|
|
|
|
|
|
|
Yiming Liu, Hongtao Shan, Feng Nie, Gaoyu Zhang and George Xianzhi Yuan
The current popular approach to the extraction of document-level relations is mainly based on either a graph structure or serialization model method for the inference, but the graph structure method makes the model complicated, while the serialization mo...
ver más
|
|
|
|