Open Access
ARTICLE
Huixuan Xu1, Chunlai Du1, Yanhui Guo2,*, Zhijian Cui1, Haibo Bai1
Journal on Artificial Intelligence, Vol.3, No.2, pp. 45-53, 2021, DOI:10.32604/jai.2021.016305
Abstract In recent years, with the rapid development of natural language
processing, the security issues related to it have attracted more and more
attention. Character perturbation is a common security problem. It can try to
completely modify the input classification judgment of the target program
without people’s attention by adding, deleting, or replacing several characters,
which can reduce the effectiveness of the classifier. Although the current
research has provided various methods of perturbation attacks on characters, the
success rate of some methods is still not ideal. This paper mainly studies the
sample generation of optimal perturbation characters and proposes a characterlevel… More >
Open Access
ARTICLE
Shengjie Li, Chaosheng Tang*
Journal on Artificial Intelligence, Vol.3, No.2, pp. 55-62, 2021, DOI:10.32604/jai.2021.017408
Abstract On the basis of studying the influencing factors of training effect
evaluation, this paper constructs an AHP-fuzzy comprehensive evaluation model
for farmers’ vocational training activities in Hainan Province to evaluate farmers’
training effect, which overcomes the limitations of traditional methods. Firstly, the
content and index system of farmer training effect evaluation are established by
analytic hierarchy process, and the weight value of each index is determined. Then,
the fuzzy comprehensive evaluation (FCE) of farmer training effect is carried out
by using multi-level FCE. The joint use of AHP and FCE improves the reliability
and effectiveness of the evaluation process and… More >
Open Access
ARTICLE
Yu Wang*
Journal on Artificial Intelligence, Vol.3, No.2, pp. 63-72, 2021, DOI:10.32604/jai.2021.010455
Abstract Visual tracking is a classical computer vision problem with many
applications. Efficient convolution operators (ECO) is one of the most outstanding
visual tracking algorithms in recent years, it has shown great performance using
discriminative correlation filter (DCF) together with HOG, color maps and
VGGNet features. Inspired by new deep learning models, this paper propose a
hybrid efficient convolution operators integrating fully convolution network (FCN)
and residual network (ResNet) for visual tracking, where FCN and ResNet are
introduced in our proposed method to segment the objects from backgrounds and
extract hierarchical feature maps of objects, respectively. Compared with the
traditional VGGNet,… More >
Open Access
ARTICLE
Weiyu Guo1,*, Ruixiang Jia1, Ying Zhang2
Journal on Artificial Intelligence, Vol.3, No.2, pp. 73-79, 2021, DOI:10.32604/jai.2021.018648
Abstract A knowledge graph consists of a set of interconnected typed entities
and their attributes, which shows a better performance to organize, manage and
understand knowledge. However, because knowledge graphs contain a lot of
knowledge triples, it is difficult to directly display to researchers. Semantic Link
Network is an attempt, and it can deal with the construction, representation and
reasoning of semantics naturally. Based on the Semantic Link Network, this
paper explores the representation and construction of knowledge graph, and
develops an academic knowledge graph prototype system to realize the
representation, construction and visualization of knowledge graph. More >
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