Zobrazeno 1 - 10
of 239
pro vyhledávání: '"graph attention mechanism"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Named entity recognition (NER) plays a crucial role in the extraction and utilization of knowledge of ancient Chinese books. However, the challenges of ancient Chinese NER not only originate from linguistic features such as the use of single
Externí odkaz:
https://doaj.org/article/77904dba17b34e7981e1d11ae3aa883b
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35964- (2024)
Micro-expression is extensively studied due to their ability to fully reflect individuals' genuine emotions. However, accurate micro-expression recognition is a challenging task due to the subtle motion of facial muscle. Therefore, this paper introdu
Externí odkaz:
https://doaj.org/article/590cb1200e814f1cab372ed22216db6d
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-18 (2023)
Abstract Accurately predicting the binding affinity between proteins and ligands is crucial for drug discovery. Recent advances in graph neural networks (GNNs) have made significant progress in learning representations of protein-ligand complexes to
Externí odkaz:
https://doaj.org/article/7c6c561bfd9d48ca8a1f7f0cc4d64f35
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Accompanied by the rapid development of the economy and the great strides of reform, the whole society puts forward higher and higher requirements for the safety and stability of the power grid, and the frequent power outage events will bring great l
Externí odkaz:
https://doaj.org/article/47ec03db3a7a42d89da51375b4f20ebc
Publikováno v:
PeerJ Computer Science, Vol 10, p e1808 (2024)
The purpose of knowledge embedding is to extract entities and relations from the knowledge graph into low-dimensional dense vectors, in order to be applied to downstream tasks, such as connection prediction and intelligent classification. Existing kn
Externí odkaz:
https://doaj.org/article/4292e3b52ba94418acd9a9f79486e8e9
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Vehicle trajectory prediction is one of the key technologies to realize autonomous driving, which provides an important guarantee for the safety of vehicles in the process of autonomous driving. In this paper, with this as the starting point, a graph
Externí odkaz:
https://doaj.org/article/134e18766da3407aa314b1d95d46fe1b
Autor:
Zhenyu Song, Yubin Qian
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 3, p 96 (2024)
Precise trajectory prediction is pivotal for autonomous vehicles operating in real-world traffic conditions, and can help them make the right decisions to ensure safety on the road. However, state-of-the-art approaches consider limited information ab
Externí odkaz:
https://doaj.org/article/d46adf271c2743cd91ce88aaaf23191c
Publikováno v:
IEEE Access, Vol 11, Pp 102366-102380 (2023)
Feature extraction and matching are irreplaceable parts of a typical visual simultaneous localization and mapping (VSLAM) algorithm. A variety of different approaches (e.g., ORB, Superpoint, GCNv2, etc.) have been proposed for effective feature extra
Externí odkaz:
https://doaj.org/article/01bd66cc1c294ffe90db1d40d8bdc260
Autor:
Yaoqun Xu, Yuhang Zhang
Publikováno v:
IEEE Access, Vol 11, Pp 17956-17967 (2023)
As a result of the integration of the stock industry into the entire international economic system, stock companies publish hundreds of prospectuses every second. The ability to quickly and accurately classify the companies and categories to which th
Externí odkaz:
https://doaj.org/article/0353276aafe0419cbaff21e6afd6de0a
Publikováno v:
Gong-kuang zidonghua, Vol 48, Iss 10, Pp 48-54 (2022)
The real-time video monitoring and alarming of unsafe actions of coal mine personnel is an important means to improve the level of safety in production. The coal mine underground environment is complex, and the monitoring video quality is poor. The c
Externí odkaz:
https://doaj.org/article/ef23f96dbb8242c0a3b6d80dca648c75