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  1. 1

    Algorithm for the analysis of kinematic characteristics of running by N. S. Davydova, V. Е. Vasiuk, N. A. Paramonova, М. М. Mezhennaya, D. I. Guseinov

    Published 2020-12-01
    “…For data analysis in the MATLAB, the software for automated evaluation of electromyographic and biomechanical motion patterns was developed. The algorithm allows one to calculate time, spatial and spatial-to-time parameters of motion, symmetry of movements of the left and right limbs, and also stability of repetition of biomechanical movement pattern. …”
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    Research on Clothing Image Database Retrieval Algorithm Based on Wavelet Transform by Xiaoyue Cui

    Published 2022-01-01
    “…The clothing image data are regarded as a signal, split, predicted, and updated and input into the wavelet model, and the retrieval research of clothing image database is completed. The experimental results show that the design of the retrieval algorithm is reasonable, the retrieval data accuracy is high, and the retrieval speed is fast.…”
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    Algorithm for Assessing the Characteristics of a Waveguide Slot Antenna Array when Changing Antenna Element Phasing by A. F. Kryachko, N. A. Gladky, M. R. Bibarsov, B. A. Ayukov

    Published 2024-07-01
    “…A review of publications shows a lack of research studies into failures of these elements.Aim. …”
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    Fusion of motion smoothing algorithm and motion segmentation algorithm for human animation generation. by Shinan Ding

    Published 2025-01-01
    “…Then, combining the discriminant analysis algorithm based on sparse reconstruction and the multi-scale temporal association segmentation algorithm, the key motion segments of the behavior pattern change are identified adaptively. …”
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    Improvement and Optimization of Feature Selection Algorithm in Swarm Intelligence Algorithm Based on Complexity by Bingsheng Chen, Huijie Chen, Mengshan Li

    Published 2021-01-01
    “…Feature selection, as an effective data processing method, has become a hot research topic in the fields of machine learning, pattern recognition, and data mining and has received extensive attention and attention. …”
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  16. 16

    Modeling and Reconstruction of Mixed Functional and Molecular Patterns

    Published 2006-01-01
    “…Formulating the task as a blind source separation or composite signal factorization problem, we report here a statistically principled method for modeling and reconstruction of mixed functional or molecular patterns. The computational algorithm is based on a latent variable model whose parameters are estimated using clustered component analysis. …”
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  17. 17

    Modeling and Reconstruction of Mixed Functional and Molecular Patterns by Yue Wang, Jianhua Xuan, Rujirutana Srikanchana, Peter L. Choyke

    Published 2006-01-01
    “…Formulating the task as a blind source separation or composite signal factorization problem, we report here a statistically principled method for modeling and reconstruction of mixed functional or molecular patterns. The computational algorithm is based on a latent variable model whose parameters are estimated using clustered component analysis. …”
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    ASSESSMENT OF 2D-DIC STOCHASTIC PATTERNS by Jakub Antoš, Václav Nežerka, Michael Somr

    Published 2017-11-01
    “…An additional investment into preparation of new experimental testing can be avoided with the use of tools employing algorithms for stochastic pattern assessment. The development of such algorithms and their implementation into an open-source DIC software is the goal of the presented research.…”
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    Tourist Behavior Pattern Mining Model Based on Context by Dong-sheng Liu, Shu-jiang Fan

    Published 2013-01-01
    “…Personalized travel experience and service of tourist has been a hot topic research in the tourism service supply chain. In this paper, we take the context into consideration and propose an analyzed method to the tourist based on the context: firstly, we analyze the context which influences the tourist behavior patterns, select the main context factors, and construct the tourist behavior pattern model based on it; then, we calculate the interest degree of the tourist behavior pattern and mine out the rules with high interest degree with the association rule algorithm; we can make some recommendations to the tourist with better personalized travelling experience and services. …”
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