Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Dunwei Wen"'
Publikováno v:
Information, Vol 12, Iss 11, p 447 (2021)
Navigation in a traffic congested city can prove to be a difficult task. Often a path that may appear to be the fastest option is much slower due to congestion. If we can predict the effects of congestion, it may be possible to develop a better route
Externí odkaz:
https://doaj.org/article/84aa6aa6090e4686b97257d2ed8f96fe
Publikováno v:
Applied Sciences, Vol 9, Iss 3, p 505 (2019)
Image classification is an important problem in computer vision. The sparse coding spatial pyramid matching (ScSPM) framework is widely used in this field. However, the sparse coding cannot effectively handle very large training sets because of its h
Externí odkaz:
https://doaj.org/article/d302664de626481d8b1258c83982f019
Publikováno v:
International Review of Research in Open and Distributed Learning, Vol 13, Iss 5 (2012)
Question answering systems have frequently been explored for educational use. However, their value was somewhat limited due to the quality of the answers returned to the student. Recent question answering (QA) research has started to incorporate deep
Externí odkaz:
https://doaj.org/article/b3046531b1cb4ee7a6fd15da1c12131e
Publikováno v:
DASC/PiCom/CBDCom/CyberSciTech
An accurate electrocardiogram (ECG) beat classification can benefit the diagnosis of the cardiovascular disease. Currently, automatic ECG classification systems based on deep neural network are useful in the field of ECG recognition. However, most of
Publikováno v:
Expert Systems with Applications. 94:250-264
Object Bank (OB) is a high-level image representation encoding semantic and spacial information, and has superior performance in scene classification tasks. However, the dimensionality of OB feature is high, which demands massive computation. Existin
Publikováno v:
Information, Vol 12, Iss 447, p 447 (2021)
Information
Volume 12
Issue 11
Information
Volume 12
Issue 11
Navigation in a traffic congested city can prove to be a difficult task. Often a path that may appear to be the fastest option is much slower due to congestion. If we can predict the effects of congestion, it may be possible to develop a better route
Publikováno v:
DASC/PiCom/DataCom/CyberSciTech
Learning institutions are responsible for ensuring effective learning environments for online learners. An effective learning environment engages learners in educational activities. In this paper, we investigate the suitability of using three differe
Publikováno v:
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Online learning environments enable learning for the online learners. The motivational factors, like engagement, play an important role in effective learning. However, the learning designers did not take into consideration the motivational factors in
Publikováno v:
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
In this paper, we propose an optic disc detection method based on convolutional neural network (CNN) and conditional random field (CRF). We pre-classify the color fundus retinal images by CNN, and construct first-order potential functions of CRF. The
Publikováno v:
Computers & Education. 145:103731
For learners to be successful in an information problem solving task, they should be able to effectively regulate their own behaviour. Despite views that such behaviour may come naturally to an individual, research generally shows that some learners