Open Access
ARTICLE
Asmaa E. E. Ali*, Mofreh Mohamed Salem, Mahmoud Badway, Ali I. EL Desouky
Journal on Artificial Intelligence, Vol.3, No.3, pp. 81-96, 2021, DOI:10.32604/jai.2021.022433
Abstract Breast cancer (BrC) is now the world’s leading cause of death for
women. Early detection and effective treatment of this disease are the only rescues
to reduce BrC mortality. The prediction of BrC diseases is very difficult because
it is not an individual disease but a mixture of various diseases. Many researchers
have used different techniques such as classification, Machine Learning (ML), and
Deep Learning (DL) of the prediction of the breast tumor into Benign and
Malignant. However, still there is a scope to introduce appropriate techniques for
developing and implementing a more effective diagnosis system. This paper
proposes a… More >
Open Access
ARTICLE
Saqlain Abbas1,2,*, Zulkarnain Abbas3, Xiaotong Tu4, Yanping Zhu1
Journal on Artificial Intelligence, Vol.3, No.3, pp. 97-113, 2021, DOI:10.32604/jai.2021.023020
Abstract The performance and reliability of structural components are greatly
influenced by the presence of any abnormality in them. To this purpose,
structural health monitoring (SHM) is recognized as a necessary tool to ensure
the safety precautions and efficiency of both mechanical and civil infrastructures.
Till now, most of the previous work has emphasized the functioning of several
SHM techniques and systematic changes in SHM execution. However, there
exist insufficient data in the literature regarding the patent-based technological
developments in the SHM research domain which might be a useful source of
detailed information for worldwide research institutes. To address this research… More >
Open Access
ARTICLE
Hao Chen*, Qian Tang, Yifei Wei, Mei Song
Journal on Artificial Intelligence, Vol.3, No.3, pp. 115-121, 2021, DOI:10.32604/jai.2021.026851
Abstract As the cost of accessing a telecom operator’s network continues to
decrease, user churn after arrears occurred repeatedly, which has brought huge
economic losses to operators and reminded them that it is significant to identify
users who are likely to churn in advance. Machine learning can form a series of
judgment rules by summarizing a large amount of data, and telecom user data
naturally has the advantage of user scale, which can provide data support for
learning algorithms. XGBoost is an improved gradient boosting algorithm, and in
this paper, we explore how to use the algorithm to train an efficient… More >
Open Access
ARTICLE
Jiancheng Zou1, Jiaxin Li1,*, Juncun Wei1, Zhengzheng Li1, Xin Yang2
Journal on Artificial Intelligence, Vol.3, No.3, pp. 123-134, 2021, DOI:10.32604/jai.2021.027069
Abstract Facial expression recognition is a research hot spot in the fields of
computer vision and pattern recognition. However, the existing facial expression
recognition models are mainly concentrated in the visible light environment. They
have insufficient generalization ability and low recognition accuracy, and are
vulnerable to environmental changes such as illumination and distance. In order
to solve these problems, we combine the advantages of the infrared and visible
images captured simultaneously by array equipment our developed with two
infrared and two visible lens, so that the fused image not only has the texture
information of visible image, but also has the… More >
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