Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Qiyue Sun"'
Autor:
Yang Li, Yang Yang, Shangling Song, Hongjun Wang, Mengzhou Sun, Xiaoyun Liang, Penghui Zhao, Baiyang Wang, Na Wang, Qiyue Sun, Zijuan Han
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
The most common manifestation of neurological disorders in children is the occurrence of epileptic seizures. In this study, we propose a multi-branch graph convolutional network (MGCNA) framework with a multi-head attention mechanism for detecting se
Externí odkaz:
https://doaj.org/article/f59dda4eba3341d7ac0b0d78bc0a4ef2
Publikováno v:
Polymers, Vol 12, Iss 6, p 1426 (2020)
Graphene oxide (GO) have been reported as adsorbent materials, because its surface contains a large number of oxygen-containing groups, which provide masses of active sites. Nevertheless, it is difficult to separate GO from aqueous solution by conven
Externí odkaz:
https://doaj.org/article/b3c674204e9d42adab2b053b6611e56c
Publikováno v:
Micromachines, Vol 9, Iss 10, p 493 (2018)
The microvasculature plays a critical role in human physiology and is closely associated to various human diseases. By combining advanced microfluidic-based techniques, the engineered 3D microvascular network model provides a precise and reproducible
Externí odkaz:
https://doaj.org/article/de0730ce81d14bb2b5daee5f94cfb60f
Publikováno v:
Computer Vision and Image Understanding. 227:103615
Autor:
Qiyue Sun1, Tinghui Wu1, Xiuguo Zou1,2 xiuguozou@gmail.com, Xinfa Qiu2, Heyang Yao1, Shikai Zhang1, Yuning Wei1
Publikováno v:
INMATEH - Agricultural Engineering. May-Aug2019, Vol. 58 Issue 2, p155-166. 12p.
Publikováno v:
2021 24th International Conference on Electrical Machines and Systems (ICEMS).
Publikováno v:
2nd International Conference on Computer Vision, Image, and Deep Learning.
Object detection has a wide range of applications in daily life and industrial fields. However, the success of object detection depends on a huge amount of manually labeled data. In this paper, based on the YOLO object detection model, two types of p
Publikováno v:
2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).
A large number of operation logs will be generated when surveillance personnel open surveillance video and based on these operation logs, this paper studies the behavior visualization, automatic anomaly detection and abnormal behavior analysis of the
Publikováno v:
2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).
The requirement of huge amount of training set data has restricted the development of the deep learning his paper designs a system which uses the differential key frame extraction method to extract the key images from the original video sequences. An
Publikováno v:
2021 3rd World Symposium on Artificial Intelligence (WSAI).
Aiming at the problem that there are enough data in target tracking based on video surveillance, but the number of annotations is seriously insufficient or the quality is not high, this paper proposes a solution to the problem of target tracking base