|
|
|
|
|
Gregory Provan
Autoencoders have been used widely for diagnosing devices, for example, faults in rotating machinery. However, autoencoder-based approaches lack explainability for their results and can be hard to tune. In this article, we propose an explainable method f...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mingfeng Huang, Jianping Sun, Kang Cai and Qiang Li
Although widely used in various fields due to its powerful capability of signal processing, empirical mode decomposition has to decompose signals separately, which limits its application for multivariate data such as the structural monitoring data record...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuai Dong, Wei Wang, Wensheng Li and Kun Zou
A 2D floor plan (FP) often contains structural, decorative, and functional elements and annotations. Vectorization of floor plans (VFP) is an object detection task that involves the localization and recognition of different structural primitives in 2D FP...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andrey Pavlov
Pág. 8 - 12
In the article, we consider the speed-up algorithm of linear prognosis of the (n+1)-th random value by the first n known values. The values are uncentred and unstationary. The result we obtain with the help of a new scalar production in the linear subspa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lingjun Xiao, Yong Lv and Guozi Fu
|
|
|
|
|
|
|
|
|
|
|
Yu Hao, Nan Zou and Guolong Liang
Capon beamforming is often applied in passive sonar to improve the detectability of weak underwater targets. However, we often have no accurate prior information of the direction-of-arrival (DOA) of the target in the practical applications of passive son...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jihui Zhang, Thushara D. Abhayapala, Wen Zhang and Prasanga N. Samarasinghe
In this paper, we investigate the maximum active noise control performance over a three-dimensional (3-D) spatial space, for a given set of secondary sources in a particular environment. We first formulate the spatial active noise control (ANC) problem i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Luyan Ji, Xiurui Geng, Kang Sun, Yongchao Zhao and Peng Gong
Extracting surface water distribution with satellite imagery has been an important subject in remote sensing. Spectral indices of water only use information from a limited number of bands, thus they may have poor performance from pixels contaminated by i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Songjiang Lou, Xiaoming Zhao, Wenping Guo and Ying Chen
As a dominant method for face recognition, the subspace learning algorithm shows desirable performance. Manifold learning can deal with the nonlinearity hidden in the data, and can project high dimensional data onto low dimensional data while preserving ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Du, Q. Ren, H. Chang, C.-I.
Pág. 1525 - 1529
|
|
|
|
|
|