Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Biqing Zeng"'
Publikováno v:
Materials & Design, Vol 223, Iss , Pp 111117- (2022)
In 3D concrete printing, layer interface and interlayer notch are generated by the layer-by-layer process. Therefore, the 3D printed concrete is anisotropic with the interlayer strength lower than the strengths measured in the other two directions. I
Externí odkaz:
https://doaj.org/article/5d2c375ceb154db99bed402aa131f646
Publikováno v:
Mathematics, Vol 10, Iss 18, p 3353 (2022)
Aspect-based sentiment analysis (ABSA) is a fine-grained task of sentiment analysis that presents great benefits to real-word applications. Recently, the methods utilizing graph neural networks over dependency trees are popular, but most of them mere
Externí odkaz:
https://doaj.org/article/90168f4345d9495bbdd27dc67960f974
Publikováno v:
Applied Sciences, Vol 10, Iss 5, p 1864 (2020)
Under the constraint of memory capacity of the neural network and the document length, it is difficult to generate summaries with adequate salient information. In this work, the self-matching mechanism is incorporated into the extractive summarizatio
Externí odkaz:
https://doaj.org/article/3ca05b7310bb4cc39184fad63c0a6fbf
Publikováno v:
Applied Sciences, Vol 9, Iss 16, p 3389 (2019)
Aspect-based sentiment classification (ABSC) aims to predict sentiment polarities of different aspects within sentences or documents. Many previous studies have been conducted to solve this problem, but previous works fail to notice the correlation b
Externí odkaz:
https://doaj.org/article/f7cfd3492a304223abacd5a24e10b753
Publikováno v:
Sensors, Vol 17, Iss 1, p 101 (2017)
In the study of power control and allocation based on pricing, the utility of secondary users is usually studied from the perspective of the signal to noise ratio. The study of secondary user utility from the perspective of communication demand can n
Externí odkaz:
https://doaj.org/article/865a3cacf12748b980f26e5338131cc4
Publikováno v:
IEEE Transactions on Image Processing. 32:2017-2032
Publikováno v:
Neurocomputing. 478:49-69
Publikováno v:
IEEE Transactions on Image Processing. 31:7048-7062
As a multivariate data analysis tool, canonical correlation analysis (CCA) has been widely used in computer vision and pattern recognition. However, CCA uses Euclidean distance as a metric, which is sensitive to noise or outliers in the data. Further
Autor:
Lingcong Feng, Biqing Zeng, Lewei He, Mayi Xu, Huimin Deng, Pengfei Chen, Zipeng Huang, Weihua Du
Publikováno v:
Neural Processing Letters.