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  1. 1181

    Features of the Relationship between Cardiorhythm Regulation and Components of Internal Picture of Disease in Students by O.E. Elnikova, A.V. Dobrin

    Published 2024-09-01
    “… <p>The work is aimed at identifying the features of the mechanisms of regulation of cardiac rhythm, which determine adaptive behavior in situations of health disorders. …”
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    Article
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    RESEARCH FEATURES OF AEROELASTIC OSCILLATIONS OF UNMANNED AERIAL VEHICLES WITH ELECTRIC ACTUATOR OF RUDDERS by A. V. Bykov, S. G. Parafes, V. I. Smyslov

    Published 2018-08-01
    “…These problems relate to dynamic aeroelasticity, a science that examines the interaction of an elastic structure (at its oscillation) with an air flow. …”
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  4. 1184
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    FEATURES OF ELECTROENERGY MARKET. CONDITION AND PERSPECTIVES OF DEVELOPMENT ELECTOENERGY INDUSTRY OF KRASNODAR REGION by Elizaveta Vladimirovna Lapshina

    Published 2022-05-01
    “…The structure of electro energy market, its features and results of the reforming the industry are studied. …”
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  11. 1191

    ALGORITHMS FOR CONSTRUCTING THE DESCRIPTORS OF LOCAL IMAGE FEATURES BASED ON MULTIRING NONPARAMETRIC TRANSFORMATION by G. A. Butkin, I. A. Emelianov, A. V. Tuzikov

    Published 2017-03-01
    “…A problem of finding characteristic points (corners) in images is solved using two rings of small radius. …”
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  12. 1192

    FEATURES OF THE IMPLEMENTATION OF THE POLICY OF GOVERNMENTAL SUPPORT OF SMALL AND MEDIUM ENTREPRENEURSHIP IN THE RUSSIAN FEDERATION by N. N. Musinova, R. Zh. Sirazhdinov

    Published 2019-10-01
    “…The features of the functioning of small enterprises and their special kind – innovative have been considered. …”
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    Article
  13. 1193

    Theory of generations: features of media consumption in the conditions of active development of digital technologies by Natalya Gennadievna Maskova, Anastasia Alexandrovna Khazhgerieva

    Published 2023-04-01
    “…The article discusses the current problems of media consumption caused by the development of digital technologies, the media market and Internet communications. …”
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    Article
  14. 1194

    AlgaeClass&#x005F;Net: Optimizing Few-Shot Marine Microalgae Classification With Multi-Scale Feature Enhancement Network by Dan Liu, Guihong Yuan, Huachao Tan, Yanbo Jiang, Hai Bi, Yuan Cheng

    Published 2025-01-01
    “…Existing few-shot learning classification algorithms that utilize meta-learning for metrics can be a good solution to this problem. In this paper, an AlgaeClass&#x005F;Net algorithm that combines an improved multi-scale feature fusion with a feature enhancement module is proposed for the fine-grained features of microalgae. …”
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  17. 1197

    Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals by Ning Huang, Zhengtao Xi, Yingying Jiao, Yudong Zhang, Zhuqing Jiao, Xiaona Li

    Published 2024-08-01
    “…Currently, the dominant single-modal feature extraction methods cannot cover the information of different modalities, resulting in poor classification performance of existing methods, especially the multi-classification problem. …”
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  18. 1198

    Research of dynamic gesture recognition based on multi-instance learning of kinematics features by Cai-qiu ZHOU, Yu-wang YANG, Hai-bo PANG

    Published 2017-11-01
    “…Compared to static gestures,dynamic gestures had some new characteristics.The problems of dynamic gestures recognition was spewed by using kinematics mode,such as divergence modes,curl modes,symmetric and ant-symmetric modes,the second and third principal invariant modes of the gradient tensor,the second and third principal invariant modes of the strain tensor and the third principal invariant modes of spin tensor; Further,a framework based on multi-instance learning was proposed,organize all these principle modes for each gesture were organized to a dynamic gestures bag-of-words,and the similarity between the mode of unknown type dynamic gestures and the all bag-of-words were calculated.Then,the nearest neighbor method was used to recognize the dynamic gestures.The experimental results show that the dynamic gestures recognition based on multi-instance kinematics features principal mode learning methods can obtain a higher recognition rate.…”
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  19. 1199

    DynaOOD-Net: Dynamic Progressive Feature Fusion and Energy Balancing for Robust Out-of-Distribution Detection by Jiting Zhou, Zhihao Zhou, Pu Zhang

    Published 2025-01-01
    “…DP-FPN incorporates a Multi-Branch Dynamic Fusion Block (MBDF) to enable dynamic feature interactions and progressive optimization, ensuring robust feature representation across complex scenarios. …”
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