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  1. 3001

    Ревизия классики украинской зарубежной лингвистики: гендерная проблематика в системе взглядов Юрия Шевелева (на материале статьи Über die Besonderheiten der Sprache der Frauen)... by Tetyana Kosmeda

    Published 2022-12-01
    “… It is typical of the modern linguistic study to reconsider the classical heritage, which makes it possible to observe the dynamics of linguistic processes and the movement vector of scientific thought, as well as to track the problems that still need to be solved nowadays. …”
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    Article
  2. 3002

    AUTOMATIC SEGMENTATION OF TREE CROWNS IN PINE FORESTS USING MASK R-CNN ON RGB IMAGERY FROM UAVS by А. D. Nikitina

    Published 2024-09-01
    “…Preparation and post-processing blocks for raster and vector files were developed for geospatial data processing. …”
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    Article
  3. 3003

    Digital-analog hybrid matrix multiplication processor for optical neural networks by Xiansong Meng, Deming Kong, Kwangwoong Kim, Qiuchi Li, Po Dong, Ingemar J. Cox, Christina Lioma, Hao Hu

    Published 2025-08-01
    “…Current ONNs using analog matrix-vector multiplication (MVM) implementations are fundamentally limited in numerical precision due to accumulated noise in electro-optical processing. …”
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    Article
  4. 3004

    Neutrino nonstandard interactions and lepton flavor universality violation at SND@LHC via charm production by Bhubanjyoti Bhattacharya, Alakabha Datta, Elena Graverini, Lopamudra Mukherjee, Divya Sachdeva, John Waite

    Published 2024-12-01
    “…In our fit, we include charmed meson decays not only to pseudoscalar final states but also to vector final states and include decays to the η and η ′ final states. …”
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    Article
  5. 3005

    Classification of Leguminous Wood Species Based on Small Sample Hyperspectral Images by Hang Su, Shuo Xu, Zhongjian Wang, Wenxin Zhao, Yanan Wen, Lei Zhao

    Published 2025-06-01
    “…This paper uses hyperspectral image data and combines models such as support vector machine (SVM), random forest (RF), logistic regression (LR), and one-dimensional convolutional neural network (1-CNN). …”
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    Article
  6. 3006

    Analytical computation for segmentation and classification of lumbar vertebral fractures by Roseline Nyange, Hemachandran Kannan, Channabasava Chola, Saurabh Singh, Jaejeung Kim, Anil Audumbar Pise

    Published 2025-07-01
    “…This paper proposes automated method for segmentation of lumbar vertebral body (VB) using image processing techniques such as shape features and morphological operations. …”
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    Article
  7. 3007

    Gender Classification With Hand-Wrist Radiographs Using the Deep Learning Method by İbrahim Yücel Özbek, Mustafa Taha Güller, Zeynep Turanli Tosun, Nida Kumbasar, Özkan Miloğlu

    Published 2025-01-01
    “…This study aims to determine gender from hand-wrist radiographs using different deep-learning methods.Methods: The left hand-wrist radiographs of 1044 individuals (534 males and 510 females) were pre-processed to clarify the image and adjust the contrast. …”
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    Article
  8. 3008

    Evolving Spiking Neural Network Model for PM2.5 Hourly Concentration Prediction Based on Seasonal Differences: A Case Study on Data from Beijing and Shanghai by Hengyuan Liu, Guibin Lu, Yangjun Wang, Nikola Kasabov

    Published 2020-08-01
    “…Furthermore, inadequate processing of the available spatio-temporal data has precluded the capture of predictive historical patterns. …”
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    Article
  9. 3009

    A Novel Lyapunov Asymptotic Eventual Stability Approach for Nonlinear Impulsive Caputo Fractional Differential Equations by Jackson E. Ante, Michael P. Ineh, Jonas O. Achuobi, Uwem P. Akai, Jeremiah U. Atsu, Nnanake-Abasi O. Offiong

    Published 2024-12-01
    “…The study holds practical relevance for modeling and analyzing real-world systems, including control processes, biological systems, and economic dynamics where fractional-order behavior and impulses play a crucial role.…”
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    Article
  10. 3010

    Intrusion detection algorithm of wireless network based on network traffic anomaly analysis by Xiangqian Nie, Jiao Xing, Qimeng Li, Fan Xiao

    Published 2025-06-01
    “…In the proposed detection architecture, a network traffic data acquisition module mines and reconstructs real-time traffic data from wireless nodes, removing redundant information. The processed data is then fed into an anomaly analysis module, where abnormal traffic features are extracted and dimensionality-reduced via a stacked autoencoder to form standardized anomaly profiles. …”
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    Article
  11. 3011

    Diabetic Retinopathy Detection Using DL-Based Feature Extraction and a Hybrid Attention-Based Stacking Ensemble by Sanjana Rajeshwar, Shreya Thaplyal, Anbarasi M., Siva Shanmugam G.

    Published 2025-01-01
    “…Image processing extracts critical features from retinal images, acting as early warning signs for DR. …”
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    Article
  12. 3012

    An efficient and DoS-resilient name lookup for NDN interest forwarding by Dacheng He, Dafang Zhang, Yanbiao Li, Wei Liang, Meng-Yen Hsieh

    Published 2021-07-01
    “…In NDN data transmission, interest forwarding is the most time-consuming operation and thus opens a possible vector of DoS attacks. It is proposed in this paper a fast name lookup algorithm for NDN interest forwarding, which selects feature prefixes instead of lengths to filter out interest packets in NDN interest forwarding. …”
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    Article
  13. 3013

    Real-World Steam Powerplant Boiler Tube Leakage Detection Using Hybrid Deep Learning by Salman Khalid, Muhammad Muzammil Azad, Heung Soo Kim

    Published 2024-12-01
    “…The data of each sensor are independently processed by a dedicated CNN model, allowing for the autonomous extraction of sensor-specific features. …”
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    Article
  14. 3014

    Polarization-Independent Two-Layer Grating With Five-Port Splitting Output Under Normal Incidence by Bowen Gong, Huiying Wen, Hongtao Li

    Published 2020-01-01
    “…On the one hand, the accurate grating vector parameters are optimized using rigorous coupled-wave analysis (RCWA) approach. …”
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    Article
  15. 3015

    Self-Adaptive and Relaxed Self-Adaptive Projection Methods for Solving the Multiple-Set Split Feasibility Problem by Ying Chen, Yuansheng Guo, Yanrong Yu, Rudong Chen

    Published 2012-01-01
    “…The multiple-set split feasibility problem (MSSFP) proposed by Censor is to find a vector such that , where is a given real matrix. …”
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  16. 3016

    A Hierarchical Machine Learning-Based Strategy for Mapping Grassland in Manitoba’s Diverse Ecoregions by Mirmajid Mousavi, James Kobina Mensah Biney, Barbara Kishchuk, Ali Youssef, Marcos R. C. Cordeiro, Glenn Friesen, Douglas Cattani, Mustapha Namous, Nasem Badreldin

    Published 2024-12-01
    “…The combination was then utilized to conduct the first two steps of classification using support vector machine (SVM) and gradient tree boosting (GTB). …”
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    Article
  17. 3017

    Identification and functional characterization of the BnRAP2.3.2 promoter in rapeseed (Brassica napus L.) for waterlogging stress tolerance by Xian Tan, Yan Zhou, Yong Cheng, Ali Raza, Yan Lv, Youping Chen, Dan Luo, Liu Zeng, Xiaoyu Ding, Xiling Zou

    Published 2025-03-01
    “…In this study, a phylogenetic tree of ERF Ⅶs from 9 species was constructed, which showed that there has been a loss of gene copies throughout the evolutionary process of this subgene family. An ERF-Ⅶ gene (BnRAP2.3.2, BnaA05T0388900ZS) was identified. …”
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  18. 3018

    Modeling the compressive strength behavior of concrete reinforced with basalt fiber by Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, Viroon Kamchoom, Paul Awoyera, Siva Avudaiappan

    Published 2025-04-01
    “…The study incorporates various modeling techniques, including Artificial Neural Networks (ANN), k-Nearest Neighbors (KNN), Support Vector Machines (SVM), Decision Trees, and Random Forest (RF), to evaluate their predictive capabilities. …”
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  19. 3019

    NNHMC: An Efficient Stokes Inversion Method Using a Neural Network (NN) Model Combined with the Hamiltonian Monte Carlo (HMC) Algorithm by Chong Xu, JinLiang Wang, Hao Li, ZiYao Hu, XianYong Bai, JiaBen Lin, Hui Liu, ZhenYu Jin, KaiFan Ji

    Published 2024-01-01
    “…By applying the Levenberg–Marquardt algorithm or training a neural network (NN) model, the magnetic field vector can be quickly inferred from the Stokes profile but lacks reliable and statistically well-defined confidence intervals for parameters. …”
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    Article
  20. 3020

    SPECIFIC FEATURES OF DEFORMATION OF THE CONTINENTAL AND OCEANIC LITHOSPHERE AS A RESULT OF THE EARTH CORE NORTHERN DRIFT by Mikhail A. Goncharov, Yuri N. Raznitsin, Yuri V. Barkin

    Published 2015-09-01
    “…Among various structural forms and their paragenezises, indicators of such compression, the north vergence thrusts play the leading role (Figures 15–17, 19, and 22–24). This process was discontinuous, manifested discretely in time, and superimposed on processes of collisional orogenesis and platform deformations of the continental lithosphere and accretion of the oceanic lithosphere in spreading zones. …”
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    Article