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  1. 10101

    Robot Obstacle Recognition and Target Tracking Based on Binocular Vision by Wencheng Sun

    Published 2022-01-01
    “…The method focused on target recognition and obstacle recognition of binocular stereo vision. …”
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    Article
  2. 10102

    Segmentation of intrinsically very low contrast magnetic resonance brain images using tensor-based DTI registration by M.L. Al-Saady, N.I. Wolf, P.J.W. Pouwels

    Published 2022-12-01
    “…We aimed to develop and assess a tensor-guided atlas-based segmentation method suitable for segmentation of very low contrast images. …”
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    Article
  3. 10103

    GAN-Based Map Generation Technique of Aerial Image Using Residual Blocks and Canny Edge Detector by Jongwook Si, Sungyoung Kim

    Published 2024-11-01
    “…The experimental results demonstrate that this method generates maps of superior visual quality, achieving outstanding performance compared to existing methodologies. …”
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    Article
  4. 10104

    Image denoising based on deep feature fusion and U-Net network by Yong Zhang

    Published 2025-03-01
    “…Image noise hinders the understanding of images by advanced visual tasks, and removing image noise is a challenging task. …”
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    Article
  5. 10105

    An Improved Deep Learning Unsupervised Approach for MRI Tissue Segmentation for Alzheimer’s Disease Detection by Karan Kumar, Isha Suwalka, Adaora Uche-Ezennia, Celestine Iwendi, Cresantus N. Biamba

    Published 2024-01-01
    “…The analysis compares various mapping approaches to identify features linked to Alzheimer’s disease. The proposed method achieves a classification accuracy of 95.75% on the Open Access Series of Imaging Studies (OASIS) MRI brain image database, outperforming existing methods.…”
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  6. 10106

    TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

    Published 2025-01-01
    “…However, current approaches treat modalities equally, not maximizing text’s advantages. To solve these problems, we propose a novel method named a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning (TMFN). …”
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    Article
  7. 10107

    Kształtowanie Belek Sprężonych przez Wyrównywanie Skrajnych Naprężne by A. Brandt

    Published 1960-06-01
    “…It is not maintained that the method of equalizing the stresses is the only possible for the determation of the shape of prestressed beams. …”
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  8. 10108

    Underwater Image Enhancement Based on Transformer, Attention, and Multi-Color-Space Inputs by Liqiong Lu, Dong Wu, Liuyin Wang, Wanzhen Zhang, Tonglai Liu

    Published 2025-01-01
    “…The comparison of image quality evaluation metrics, visual enhancement performance evaluation and impact on the performance of underwater object detection with other underwater enhancement methods on datasets including SUIM-E, UIEB, EUVP, RUIE-RIQS, RUIE-UCCS and URPC-2018 prove the good performance of our underwater image enhancement method.…”
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  9. 10109

    Preventing Shoulder-Surfing Attack with the Concept of Concealing the Password Objects’ Information by Peng Foong Ho, Yvonne Hwei-Syn Kam, Mee Chin Wee, Yu Nam Chong, Lip Yee Por

    Published 2014-01-01
    “…In this paper, a new method, which conceals information about the password objects as much as possible, is proposed. …”
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  10. 10110

    Scratch Scoring by a Sheet-shaped Body Vibrometer in Nocturnal Sleep: A Pilot Study Compared with Infrared Video Recording by Saori Toyota, Takamasa Kogure, Eitaro Kondo, Ken-ichi Yasuda, Yozo Ishiuji, Toshiya Ebata

    Published 2025-01-01
    “…Scratching time was then used as the gold standard, which was determined visually from the infrared video. The proposed method of detecting vibration was compared with the conventional method using the activity score measured by a sheet-shaped body vibrometer. …”
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  11. 10111

    A new exponentially directional weighted function based CT image denoising using total variation by Manoj Kumar, Manoj Diwakar

    Published 2019-01-01
    “…The proposed scheme is also compared with some standard existing methods and it is observed that performance of proposed scheme is superior to existing methods in terms of visual quality and performance metrics. …”
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    Article
  12. 10112

    On the Dynamism of Paintings Through the Distribution of Edge Directions by Adrien Deliege, Maria Giulia Dondero, Enzo D’Armenio

    Published 2024-11-01
    “…We demonstrate the applicability of our method in three key areas: studying the temporal evolution of dynamism across different artistic styles, as well as within the works of a single artist (Wassily Kandinsky), visualizing and clustering a large database of abstract paintings through PixPlot, and retrieving similarly dynamic images. …”
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  13. 10113
  14. 10114

    Ultrasound elastography of muscles in cerebral palsy: systematic review by V. M. Kenis, A. V. Sapogovskiy, E. V. Melchenko, O. E. Agranovich, A. I. Shubina, M. V. Zhurbitskaya

    Published 2022-02-01
    “…Ultrasound elastography is a group of diagnostic methods that allow visualizing tissue stiffness, measuring and displaying biomechanical properties of tissues. …”
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  15. 10115

    Increasing the Interlayer Fracture Toughness of Polymer Fabric Composites Using Local 3D-Reinforcement (Felting) by G. А. Forental, S. B. Sapozhnikov

    Published 2024-09-01
    “…The dependences of maximum normal and shear stresses, as well as displacements, were visualized in the form of graphs and color charts. To get the calculated “load — displacement” dependences using FEM, the reverse method of obtaining transverse shear constants was used. …”
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  16. 10116

    Implementation of RT-RAA and CRISPR/Cas13a for an NiV Point-of-Care Test: A Promising Tool for Disease Control by Jingqi Yin, Jin Cui, Hui Zheng, Tingting Guo, Rong Wei, Zhou Sha, Shaopeng Gu, Bo Ni

    Published 2025-03-01
    “…Compared with conventional detection methods, this RT-RAA-CRISPR/Cas13a-based method is rapid and simple and does not require scientific instruments. …”
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  17. 10117

    The Current Trends in Livestock Product Processing: Problems and Prospects by Glushkov Oleg A.

    Published 2025-06-01
    “…To achieve the set aim, a combination of methods was applied, ensuring the systematic and substantiated nature of the research into the development of the processing industry in animal husbandry, specifically: the method of statistical analysis for assessing the dynamics of raw material supplies and indicators of added value; the method of comparisons for analyzing changes in the industry and international experience; the graphical method for visualizing trends and results obtained; systematic analysis to determine the role of the sector in forming value-added chains and ensuring food security; the method of economic-mathematical modeling for calculating indicators for individual types of products. …”
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  18. 10118

    Efficient Region-Wise Packing of Stereoscopic ERP Videos Based on Information Loss Minimization by Hossein Pejman, Stephane Coulombe, Carlos Vazquez, Ahmad Vakili

    Published 2025-01-01
    “…To address these challenges, sub-sampled versions of the left and right views are usually used to form the spatial FC format, leading to a loss of visual quality. In this paper, we propose an efficient region-wise packing method for equirectangular projection (ERP) videos with minimum information loss by exploiting the uneven sampling characteristic of ERP. …”
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  19. 10119

    Simplified Calculation of the Inertia Moment of the Cross Section of the Console under Loading by E. E. Deryugin

    Published 2024-06-01
    “…Analytical and mathematical research methods were applied, specifically, the Huygens–Steiner theorem.Results. …”
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  20. 10120

    Investigating the metastability of amorphous calcium carbonate by droplet microfluidics experiments using machine learning by Ryan Santoso, Lisa Guignon, Guido Deissmann, Jenna Poonoosamy

    Published 2025-06-01
    “…However, accurate quantification of this transformation requires analyzing more than thousands of droplets identifying the different polymorphs of calcium carbonate during an experiment, which is labor-intensive. Here we develop a visual-based machine learning method, combining cascading U-Net and K-Means clustering, to allow efficient analysis of droplet microfluidics experiment results. …”
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