Forthcoming and Online First Articles

International Journal of Computational Intelligence Studies

International Journal of Computational Intelligence Studies (IJCIStudies)

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International Journal of Computational Intelligence Studies (4 papers in press)

Special Issue on: Interdisciplinary Applications and Technologies of Computer Vision

  • Performance prediction analysis of college aerobics course based on Back Propagation neural network   Order a copy of this article
    by Jianlin Su, Hao Zheng, Yanxi Chen 
    Abstract: To solve the problem of low accuracy of the performance prediction method of aerobics courses, the study proposes to combine the partial least squares regression (partial least squares
    Keywords: score prediction; BP neural network; relative error value; partial least squares regression.
    DOI: 10.1504/IJCISTUDIES.2022.10051976
  • Research on the optimal charging method of parallel power batteries for smart electric vehicles   Order a copy of this article
    by Yalin Li, Zhen Li 
    Abstract: To save charging cost on the premise of ensuring stable and efficient charging of electric vehicles, an optimal charging method for parallel power batteries of intelligent electric vehicles was proposed. Through mathematical model analysis, the RC network branch is added to construct a second-order RC equivalent circuit model. Optimise battery parameters based on CRUISE simulation platform. By optimising the control of battery current, current sharing and voltage stability are achieved. Finally, the local voltage equalising charging principle of the inverter is used to redesign the equalising charging of the electric vehicle battery. The experimental results show that the relative cost and charging stability of the proposed charging method are 0.58 and 0.62 respectively, which are better than the other two charging methods. The results show that the method can meet the requirements of intelligent electric vehicles for charging stability and efficiency, and has high application value.
    Keywords: electric vehicle; battery charging; equalisation charging; equivalent circuit model; charging power.
    DOI: 10.1504/IJCISTUDIES.2022.10051977
  • Research on spiking neural network in art visual image classification   Order a copy of this article
    by Yiping Zhang 
    Abstract: In the visual processing of artistic images, traditional CNN has a high resource demand, and SNN can solve this problem. The article selects SNN as the method for artistic visual image processing and combines it with CNN to simplify model training. After CNN adjustment and feedback adjustment algorithm processing, the classification accuracy of SNN can be improved. The results show that the accuracy of the adjusted CNN model is 80.25% and 79.60%, respectively, with an average training accuracy difference of 3.32%. Under the same pooling combination, the accuracy of the model with 11 and 12 iterations is 68.00% and 66.02%, respectively. The average classification accuracy of SNN is 78.80%, slightly lower than the adjusted CNN. SNN has a power consumption of approximately 0.0039 W per second in processing 742 images. The correlation classification method used in the article can reduce power consumption and has a high classification accuracy.
    Keywords: spiking neural network; SNN; convolutional neural network; CNN; artistic visual image; accuracy; classification.
    DOI: 10.1504/IJCISTUDIES.2023.10057739
  • Application of binocular image reconstruction method in the construction of 3D model of wooden arch corridor bridge structure   Order a copy of this article
    by Hua Deng 
    Abstract: In order to better understand the structure of wooden-arch corridor bridges and preserve cultural buildings, the study proposes a three-dimensional model construction method based on binocular image reconstruction method. Facing the problem of poor image edge feature extraction, the study uses Laplace combined with the Sobel operator (Laplace-Sobel) for image edge feature extraction. The SIFT structural feature matching algorithm is improved to eliminate the mis-matching points in stereo matching. The results show that as the active window size increases, the number of detected edge feature points gradually increases and the number of feature stereo matching pairs also increases, but the number of matching pairs is lower than the number of feature points; the number of features is searched for the most and the matching cost is the least when the neighbourhood range of pixels is 15
    Keywords: binocular image reconstruction method; three-dimensional model; wooden arch gallery bridge structure; matching algorithm.
    DOI: 10.1504/IJCISTUDIES.2023.10058108