Showing 1,761 - 1,780 results of 11,103 for search 'features problems', query time: 0.11s Refine Results
  1. 1761

    A Feature Selection Approach to the Group Behavior Recognition Issue Using Static Context Information by Alberto Pozo, Miguel A. Patricio, Jesús García, José Manuel Molina

    Published 2013-10-01
    “…All this information is represented as a set of features by classification algorithms. This is a very high-dimensional problem, with which classification algorithms are unable cope. …”
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    Article
  2. 1762

    FEL-FRN: fusion ECA long-CLIP feature reconstruction network for few-shot classification by Yuanyuan Wang, Ao Zhang, Jiange Liu, Kexiao Wu, Hauwa Suleiman Abdullahi, Pinrong Lv, Yu Gao, Haiyan Zhang

    Published 2025-04-01
    “…To address this problem, we propose a model called FEL-FRN (fusion ECA Long-CLIP feature reconstruction network). …”
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    Article
  3. 1763
  4. 1764

    Feature extraction of coal mine ventilator vibration signals based on improved variational mode decomposition by TAO Long, GUO Yanfei

    Published 2025-02-01
    “…Additionally, the signal processing speed of feature extraction methods based on generalized Variational Mode Decomposition (VMD) is unable to meet the requirements of rapid feature extraction of ventilator vibration signals. …”
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    Article
  5. 1765
  6. 1766

    Virtual sample based techniques using deep features for SSPP face recognition in unconstrained environment. by Muhammad Tariq Siddique, Ibrahim Venkat, Humera Farooq, Sharul Tajuddin, S H Shah Newaz

    Published 2025-01-01
    “…A deep neural network-based model, FaceNet, was used to extract the features and a support vector machine was used for classification. …”
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    Article
  7. 1767
  8. 1768

    Improvement of Football Match Score Prediction by Selecting Effective Features for Italy Serie A League by Murat Koklu, Yavuz Selim Taşpınar, İlkay Çınar

    Published 2021-06-01
    “…Match result prediction is a very challenging problem, and recently the solution to this problem has become very popular. …”
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    Article
  9. 1769

    Automated ECG Arrhythmia Classification Using Feature Images with Common Matrix Approach-Based Classifier by Ali Kirkbas, Aydin Kizilkaya

    Published 2025-02-01
    “…This paper seeks to solve the classification problem of cardiac arrhythmias by using a small number of electrocardiogram (ECG) recordings. …”
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  10. 1770

    THE FEATURES OF TRAINING OF TEACHERS AND STUDENTS TO THE USE OF INFORMATION TECHNOLOGIES TRAINING OF MATHEMATICS IN HIGHER EDUCATIONAL ESTABLISHMENTS by Y. I. Sinko

    Published 2012-10-01
    “…The main attention was paid to the problem of determining the conditions, psychological and pedagogical features of application of existing pedagogical software systems for teaching mathematics in higher educational establishments. …”
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    Article
  11. 1771
  12. 1772

    Water Body Extraction Method Based on ConvNeXt and Dual Feature Extraction Branch by ZHOU Ke, CHANG Ranran, XU Xizhi, MIAO Ru, ZHANG Guangyu, WANG Jiaqian

    Published 2025-05-01
    “…In order to effectively utilize the multi-level feature map generated by the backbone network, a bidirectional feature fusion module (BiFFM) is designed to solve the problem of scale inconsistency in boundary recognition. …”
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  13. 1773
  14. 1774
  15. 1775
  16. 1776

    Subway Platform Passenger Flow Counting Algorithm Based on Feature-Enhanced Pyramid and Mixed Attention by Jing Zuo, Guoyan Liu, Zhao Yu

    Published 2023-01-01
    “…In the proposed passenger flow counting algorithm, the feature-enhanced pyramid structure is used to retain the channel information of deep features and eliminate the aliasing effect caused by fusion to enhance the feature representation of the original image and effectively solve the scale problem. …”
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  17. 1777
  18. 1778
  19. 1779

    RESEARCH OF EARLY FAULT FEATURE EXTRACTION OF SOLAR WHEEL BASED ON PARAMETRIC ADAPTIVE ICEEMDAN AND MCKD by ZHAO Naizhuo, ZHAO Yumeng, MEN Chengfu

    Published 2025-06-01
    “…In order to solve the problem of difficult to accurately extract early faults of solar wheels under the strong noise background, an improved grey wolf algorithm (newGWO) was proposed to optimize and improve the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and the maximum correlated kurtosis deconvolution (MCKD) for early fault feature extraction of solar wheels.NewGWO was used to optimize the selection of parameters of the white noise amplitude weight and noise addition times that affected the decomposition effect.The fault vibration signal was decomposed by newGWO-ICEEMDAN, and the minimum envelope entropy was selected as the fitness function to obtain several related modal components.Then, the envelope spectrum peak factor was selected as the best modal component index.MCKD signals optimized by newGWO were enhanced for the selected optimal intrinsic mode function (IMF) components. …”
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  20. 1780

    Research on small target ship recognition based on feature fusion method and hybrid attention model by Ronghui YAN, Qian GUO, Ming LEI, Yanxiang CAI, Jianfeng YANG

    Published 2024-12-01
    “…ObjectiveThis paper addresses a problem affecting small target ship detection in which network models have a low recognition rate caused by the insignificance of features in small target ships. …”
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