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    Research on anomaly detection algorithm based on sparse variational autoencoder using spike and slab prior by Huahua CHEN, Zhe CHEN

    Published 2022-12-01
    “…Anomaly detection remains to be an essential and extensive research branch in data mining due to its widespread use in a wide range of applications.It helps researchers to obtain vital information and make better decisions about data by detecting abnormal data.Considering that sparse coding can get more powerful features and improve the performance of other tasks, an anomaly detection model based on sparse variational autoencoder was proposed.Firstly, the discrete mixed modelspike and slab distribution was used as the prior of variational autoencoder, simulated the sparsity of the space where the hidden variables were located, and obtained the sparse representation of data characteristics.Secondly, combined with the deep support vector network, the feature space was compressed, and the optimal hypersphere was found to discriminate normal data and abnormal data.And then, the abnormal fraction of the data was measured by the Euclidean distance from the data feature to the center of the hypersphere, and then the abnormal detection was carried out.Finally, the algorithm was evaluated on the benchmark datasets MNIST and Fashion-MNIST, and the experimental results show that the proposed algorithm achieves better effects than the state-of-the-art methods.…”
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    Research on an inverse synthetic aperture radar imaging algorithm based on non-convex regularization model by ZHAO Yanan, YE Fangjie, WANG Chao, YANG Fengyuan, ZHU Feng

    Published 2024-10-01
    “…For this model, we propose a new algorithm which is based on the MM iteration algorithm framework and adopts the idea of support shrinkage technique, called as iteration support shrinkage algorithm. …”
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    Research and Implementation of the Text Matching Algorithm in the Field of Housing Law and Policy Based on Deep Learning by Yin Xu, Hong Ma

    Published 2021-01-01
    “…Compare the improved depth learning algorithm with the general algorithm, so as to clearly understand the advantages and disadvantages of the improved depth learning algorithm and depth learning algorithm. …”
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    Research Progress on Machine Learning Prediction of Compressive Strength of Nano-Modified Concrete by Ruyan Fan, Ankang Tian, Yikun Li, Yue Gu, Zhenhua Wei

    Published 2025-04-01
    “…In this article, the development of machine learning research in predicting the strength of concrete enhanced by nanoparticles is reviewed. …”
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    Research of Models of Topological Relations of Spatial Objects by Vladislav G. Gorshkov, Dmitriy M. Murin, Olga P. Yakimova

    Published 2022-09-01
    “…The generalization automation still remains an open issue for data producers and users. Many researchers are working to achieve a higher level of automation. …”
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    Research on the Trusted Traceability Model of Taishan Tea Products Based on Blockchain by Kangchen Liu, Pingzeng Liu, Shuaishuai Gao

    Published 2024-11-01
    “…The optimized SM2 encryption algorithm is introduced, and the execution efficiency of the encryption algorithm is improved by the concurrent processing framework, which guarantees the security and transmission speed of the data. …”
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