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Showing 1 - 20 results of 3,493 for search '(((( image modeling algorithm ) OR ( element data algorithm ))) OR ( level coding algorithm ))', query time: 0.53s Refine Results
  1. 1
    Folder with all data and algorithms

    Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

    Published 2025
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  2. 2
    TreeMap 2016 Stand Size Code Algorithm (Image Service)

    TreeMap 2016 Stand Size Code Algorithm (Image Service) by U.S. Forest Service (17476914)

    Published 2024
    “…format=iso19139 "> ISO-19139 metadata</a></li><li> <a href="https://data-usfs.hub.arcgis.com/datasets/usfs::treemap-2016-stand-size-code-algorithm-image-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/TreeMap_2016_StandSizeCode_Algorithm/ImageServer "> ArcGIS GeoService</a></li></ul><div> For complete information, please visit <a href="https://data.gov">https://data.gov</a>.…”
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  3. 3
    The actual training effect of four algorithms on original photo data (All images are original images taken by the author).

    The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

    Published 2025
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  4. 4
    Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4

    Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4 by Berith Atemoztli De la Cruz Sánchez (21758708)

    Published 2025
    “…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. To address this, we propose a hybrid approach that combines elastic and hyperelastic finite element simulations, complemented by convolutional neural networks (CNNs), to generate synthetic tactile maps of a soft capacitive tactile sensor. …”
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  5. 5
    Data augmentation is applied both geometrically and in terms of intensity. Geometrically, the images are mirrored, flipped, rotated, and randomly cropped. For intensity augmentation, random noise is added, and random masking is applied. Finally, a square matrix (GT matrix) is used to represent the correspondence of matching points between the two images. The GT_matrix is a square matrix of <i>N</i> × <i>N</i> dimensions. <i>GT</i> ⁡  ( <i>i</i> , <i>j</i> )  represents the element of the <i>i</i>th row and the <i>j</i>th column in the GT matrix. The shown input image pairs take optical and SAR image pairs as an example.

    Data augmentation is applied both geometrically and in terms of intensity. Geometrically, the images are mirrored, flipped, rotated, and randomly cropped. For intensity augmentatio... by Yide Di (20969124)

    Published 2025
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  6. 6
    Example measurement and analysis units for landscape elements.

    Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

    Published 2025
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  7. 7
    The model parameters of SIFusion and comparative algorithms.

    The model parameters of SIFusion and comparative algorithms. by Song Qian (5031221)

    Published 2024
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  8. 8
    Results of various algorithms.

    Results of various algorithms. by Chuanxi Xing (20141665)

    Published 2025
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  9. 9
    Figures of Results for Various Algorithms.

    Figures of Results for Various Algorithms. by Chuanxi Xing (20141665)

    Published 2025
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  10. 10
    Algorithms and accuracy of various previous models.

    Algorithms and accuracy of various previous models. by Zhe Li (219258)

    Published 2025
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  11. 11
    Flowchart of CSS-Harris detection algorithm to extract image feature points.

    Flowchart of CSS-Harris detection algorithm to extract image feature points. by Hua Song (113155)

    Published 2025
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  12. 12
    Main code.

    Main code. by Jingguo Bi (21439766)

    Published 2025
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  13. 13
    Flow chart of the proposed algorithm.

    Flow chart of the proposed algorithm. by Yepuganti Karuna (19935105)

    Published 2025
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  14. 14
    Flow chart of image-denoising algorithm.

    Flow chart of image-denoising algorithm. by Chuanxi Xing (20141665)

    Published 2025
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  15. 15
    YOLOv5 algorithm structure.

    YOLOv5 algorithm structure. by Cong Xiao (4282558)

    Published 2025
    “…The mathematical model is established for boundary position points extracted from the droplet side cross-section image. …”
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  16. 16
    Genetic Algorithm IQA Data

    Genetic Algorithm IQA Data by Michael Anastasios Mardikes (21762611)

    Published 2025
    Subjects: “…Modelling and simulation…”
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  17. 17
    Graphical representation of various fusion algorithms.

    Graphical representation of various fusion algorithms. by Yepuganti Karuna (19935105)

    Published 2025
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  18. 18
    Effect images of CLAHE algorithm.

    Effect images of CLAHE algorithm. by Yang Gao (18005)

    Published 2025
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  19. 19
    Whole slide images classification code.

    Whole slide images classification code. by Yaëlle Bellahsen-Harrar (22139194)

    Published 2025
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  20. 20
    Resultant objective metrics of fused MRI-PET of proposed model in comparison with for various existing fusion algorithms.

    Resultant objective metrics of fused MRI-PET of proposed model in comparison with for various existing fusion algorithms. by Venu Allapakam (19935102)

    Published 2024
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