Open Access
ARTICLE
Guanghao Jin1, Na Zhao1, Chunmei Pei1, Hengguang Li2, Qingzeng Song3, Jing Yu1,*
Journal on Artificial Intelligence, Vol.3, No.4, pp. 135-143, 2021, DOI:10.32604/jai.2021.027154
Abstract Generally, the performance of deep learning models is related to the
captured features of training samples. When the training samples belong to
different domains, the diverse features may increase the difficulty of training
high performance models. In this paper, we built a new framework that generates
multiple models on the organized samples to increase the accuracy of
classification. Firstly, our framework selects some existing models and trains
each of them on organized training sets to get multiple trained models. Secondly,
we select some of them based on a validation set. Finally, we use some fusion
method on the outputs of… More >
Open Access
ARTICLE
Zhong Yuan1, Wei Fang1,2,*, Yongming Zhao3,*, Victor S. Sheng4
Journal on Artificial Intelligence, Vol.3, No.4, pp. 145-152, 2021, DOI:10.32604/jai.2021.026902
Abstract Insects play an important role in the natural ecology, it is of great
significance for ecology to research on insects. Nowadays, the invasion of alien
species has brought serious troubles and a lot of losses to local life. However, there
is still much room for improvement in the accuracy of insect recognition to
effectively prevent the invasion of alien species. As the latest target detection
algorithm, YOLOv5 has been used in various scene detection tasks, because of its
powerful recognition capabilities and extremely high accuracy. As the problem of
imbalance of feature maps at different scales will affect the accuracy… More >
Open Access
ARTICLE
Sheng Huang, Chuanle Liu*
Journal on Artificial Intelligence, Vol.3, No.4, pp. 153-162, 2021, DOI:10.32604/jai.2021.025175
Abstract Knowledge graph technology play a more and more important role in
various fields of industry and academia. This paper firstly introduces the general
framework of the knowledge graph construction, which includes three stages:
information extraction, knowledge fusion and knowledge processing. In order to
improve the efficiency of quality and safety supervision of transportation
engineering construction, this paper constructs a knowledge graph by acquiring
multi-sources heterogeneous data from supervision of transportation engineering
quality and safety. It employs a bottom-up construction strategy and some natural
language processing methods to solve the problems of the knowledge extraction for
transportation engineering construction. We use… More >
Open Access
ARTICLE
Yue Jiang, Xinyu Zhang, Wohuan Jia, Li Xu*
Journal on Artificial Intelligence, Vol.3, No.4, pp. 163-169, 2021, DOI:10.32604/jai.2021.027590
Abstract As a new type of knowledge sharing platform, the community question
answer website realizes the acquisition and sharing of knowledge, and is loved and
sought after by the majority of users. But for multi-answer questions, answer quality
assessment becomes a challenge. The answer selection in CQA (Community
Question Answer) was proposed as a challenge task in the SemEval competition,
which gave a data set and proposed two subtasks. Task-A is to give a question
(including short title and extended description) and its answers, and divide each
answer into absolutely relevant (good), potentially relevant (potential) and bad or
irrelevant (bad, dialog,… More >
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