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  1. 1921
  2. 1922
  3. 1923

    Rolling Based on Multi-Source Time–Frequency Feature Fusion with a Wavelet-Convolution, Channel-Attention-Residual Network-Bearing Fault Diagnosis Method by Tongshuhao Feng, Zhuoran Wang, Lipeng Qiu, Hongkun Li, Zhen Wang

    Published 2025-06-01
    “…To address this issue, this study proposes a lightweight fault diagnosis model (WaveCAResNet) enhanced with multi-source time–frequency features. By fusing complementary time–frequency features derived from continuous wavelet transform, short-time Fourier transform, Hilbert–Huang transform, and Wigner–Ville distribution, the capability to characterize complex fault patterns is significantly improved. …”
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    Article
  4. 1924
  5. 1925

    METHOD OF CONTENT-DEPENDENT WATERMARKING IMAGES BASED ON SECURITY VISUAL SECRET SHARING SCHEME by A. A. Boriskevich

    Published 2019-06-01
    “…A method of content-dependent watermarking images without embedding digital watermark based on visual secret sharing scheme, which allows to encrypt the digital watermark as a noise like secret and public shadow images using binary content-dependent wavelet-pattern with visually significance features and code table and to reconstruct the digital watermark by means of performing a logical operation (AND, OR or XOR) on a secret and a public shadow images. …”
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    Article
  6. 1926

    Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Effic... by Shadi Jacob Khoury, Yazeed Zoabi, Mickey Scheinowitz, Noam Shomron

    Published 2024-11-01
    “…In this study, we introduce a novel approach that integrates interpretability techniques from both traditional machine learning (ML) and deep neural networks (DNN) to quantify feature importance using global and local interpretation methods. …”
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    Article
  7. 1927

    Kolmogorov–Arnold–Enhanced Nonlinear Expansions for Fine-Grained Feature Amplification in Robust Near-Shore SAR Vessel Discrimination by Hankang Wang, Gaopeng Huang, Zhao Huang, Xingru Huang, Zhaoyang Xu, Zhiwen Zheng, Shanwei Liu, Shiqing Wei, Jin Liu, Xiaoshuai Zhang

    Published 2025-01-01
    “…By integrating Gram polynomials and B-spline-based activation functions, KAN Block dynamically calibrates feature responses to suppress background clutter (e.g., shore structures) while amplifying subtle intensity patterns and edge transitions unique to ships. …”
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    Article
  8. 1928
  9. 1929

    Analysis of Dynamic, Thermodynamic, and Synoptic conditions of heavy rainfall Events in the South-East of Iran by Bohlool Alijani, Keramat Hashemi, Mohsen Abbasnia, Sima Pourhashemi

    Published 2015-03-01
    “…Then, the maps of spatial patterns have been drawn with the resolution in cell size of 2.5٭2.5 degree.­ …”
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    Article
  10. 1930

    Motivational and valuable regularities and akmeologicheskys mechanisms of development of future engineer by T. A. Mayboroda

    Published 2022-05-01
    “…The item presents a view on the specific points and the structure of the motivation-value features in those studying to become engineers; there is a presentation of the patterns and mechanisms determining their acmeological development.…”
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    Article
  11. 1931

    Efficient Classification and Rapid Processing of Big Data in Power Distribution Networks by Luan Ning, Cheng Li, Wang Dingji, Wang Shuaimei

    Published 2024-01-01
    “…Data pattern definition encompasses identifying repetitive, sparse, and increasing/decreasing patterns. …”
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    Article
  12. 1932

    SPECIES COMPOSITION AND TERRITORIAL DISTRIBUTION OF BIRDS IN PIEDMONT DAGESTAN by E. V. Vilkov

    Published 2019-07-01
    “…Information on the following points was obtained for the first time: composition of bird species, their average abundance, residence status, faunal‐genetic structure, ecological pattern of the avifauna, as well as the features of territorial distribution of birds in Piedmont Dagestan.Methods. …”
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  13. 1933
  14. 1934

    Identifying student help-seeking behavior patterns and help-seeking tendencies from student problem-solving and help-seeking behavior data: An educational data mining approach by Chih-Yueh Chou, Wei-Han Chen

    Published 2025-04-01
    “…This study applied an educational data mining approach, including clustering and classification, to analyze students’ problem-solving and help-seeking data in a computer assisted learning system to identify student help-seeking behavior patterns and tendencies. First, nine observable problem-solving and help-seeking features for identifying help-seeking behavior patterns were established. …”
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    Article
  15. 1935

    Social and physiological peculiarities and professional orientation of medical students by O. V. Toussova, A. M. Shaporov, O. V. Pavlova, G. G. Lebedeva, E. R. Isaeva

    Published 2015-12-01
    “…The article describes personality features, self-regulation patterns and professional orientation of medical students. …”
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    Article
  16. 1936

    Genome-wide analysis of the BoBZR1 family genes and transcriptome analysis in Brassica oleracea by Muhammad Asad Ullah, Muhammad Hamza, Rozia Gull, Muhammad Shafiq, Abdul Wahid, Shahab Ahmad, Tayebeh Ahmadi, Mehdi Rahimi

    Published 2025-05-01
    “…A complete genome-wide analysis identified 12 BZR1 genes in B. oleracea, categorized into three groups based on their gene motif and structural features. These BoBZR1s were found on eight different chromosomes. …”
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    Article
  17. 1937

    MissPred: A Robust Two-Stage Radar Echo Extrapolation Algorithm for Incomplete Sequences by Ziqi Zhao, Chunxu Duan, Lin Song, Qilin Zhang, Wenda Zhu, Yi Liu

    Published 2025-06-01
    “…Furthermore, a missing spatiotemporal feature fusion module (MSTF) that is absent has been designed for the purpose of extracting fine-grained complete spatiotemporal features. …”
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    Article
  18. 1938

    Rethinking the regulations and development patterns of villages connected to the city; approaches based on generic codes at macro level(Case study: Perjikola and Bala lamouk villag... by Hadi pendar

    Published 2018-09-01
    “…Process based on generative codes based on flexibility, sustainability and evolution of the most fundamental features in action at the neighborhood scale. The research was conducted based on logical reasoning. …”
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    Article
  19. 1939
  20. 1940

    Magnetic Resonance Imaging Texture Analysis Based on Intraosseous and Extraosseous Lesions to Predict Prognosis in Patients with Osteosarcoma by Yu Mori, Hainan Ren, Naoko Mori, Munenori Watanuki, Shin Hitachi, Mika Watanabe, Shunji Mugikura, Kei Takase

    Published 2024-11-01
    “…<b>Methods:</b> Thirty-four patients underwent pretreatment MRI and were diagnosed as having OS by surgical resection or biopsy between September 2008 and June 2018. Histological patterns and 3-year survival were recorded. Manual segmentation was performed in intraosseous, extraosseous, and entire lesions on T1-weighted, T2-weighted, and contrast-enhanced T1-weighted images to extract texture features and perform principal component analysis. …”
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    Article