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  1. 4941

    Reconstruction of Three-Dimensional Porous Media Using Deep Transfer Learning by Yi Du, Jie Chen, Ting Zhang

    Published 2020-01-01
    “…The experimental results show that the proposed method is of high efficiency while preserving similar features with the target image, shortening reconstruction time, and reducing the burdens on CPU.…”
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  2. 4942

    Gait Recognition Using GEI and AFDEI by Jing Luo, Jianliang Zhang, Chunyuan Zi, Ying Niu, Huixin Tian, Chunbo Xiu

    Published 2015-01-01
    “…Gait energy image (GEI) preserves the dynamic and static information of a gait sequence. …”
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  3. 4943

    FAB: Fast Angular Binary Descriptor for Matching Corner Points in Video Imagery by Mehwish Tahir, Nadia Kanwal, Fatima Anjum

    Published 2016-01-01
    “…Image matching is a fundamental step in several computer vision applications where the requirement is fast, accurate, and robust matching of images in the presence of different transformations. …”
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  4. 4944

    Deep Learning Approaches for 3D Model Generation from 2D Artworks to Aid Blind People with Tactile Exploration by Rocco Furferi

    Published 2024-12-01
    “…Unfortunately, reconstructing a 3D model from a single image, especially when it comes to painting-based images, is an ill-posed problem due to the depth ambiguity and the lack of a ground truth for the 3D model. …”
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  5. 4945

    Measurement of Surface Damage through Boundary Detection: An Approach to Assess Durability of Cementitious Composites under Tannery Wastewater by Tanvir Manzur, Khaled Mahmood Ehsan, Sinha Lamia Sultana, Samira Mahmud

    Published 2016-01-01
    “…This paper highlights a technique of boundary detection developed through image processing performed using MATLAB. Cement mortar cubes were submerged in simulated tannery wastewater and the images of the surface of cubes were taken at several time intervals. …”
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  6. 4946

    Analysis of Stress-Strain Relationship of Earthen Soil Based on Molecular Dynamics by Jianwei Yue, Xuanjia Huang, Peng Li, Tingting Yue

    Published 2022-01-01
    “…Based on the electron micrograph image (magnification ×500) and the image reconstruction method, a micromodel composed of particles and pores was constructed. …”
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  7. 4947

    Applications of Artificial Intelligence in Ophthalmology: General Overview by Wei Lu, Yan Tong, Yue Yu, Yiqiao Xing, Changzheng Chen, Yin Shen

    Published 2018-01-01
    “…Recent studies indicate that AI has astounding potential to perform much better than human beings in some tasks, especially in the image recognition field. As the amount of image data in imaging center of ophthalmology is increasing dramatically, analyzing and processing these data is in urgent need. …”
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  8. 4948

    Investigation on Hydration and Deformation Characteristics of Shale Using X-ray Computed Tomography by Yong-Ting Duan, Xiao Li, Bo Zheng, Bai-Cun Yang

    Published 2022-01-01
    “…In addition, a new method based on the CT image was proposed to calculate the lateral strain; the evolution of the axial stress-strain curve reveals that the expansion phenomena exist before failure, and the evolution process includes four stages. …”
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  9. 4949

    Multimodal Deep Feature Fusion (MMDFF) for RGB-D Tracking by Ming-xin Jiang, Chao Deng, Ming-min Zhang, Jing-song Shan, Haiyan Zhang

    Published 2018-01-01
    “…The optical flow image is calculated for every frame and then is fed to motion-specific CNN to learn deep motion features. …”
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    Article
  10. 4950

    Why do people resist AI-based autonomous cars?: Analyzing the impact of the risk perception paradigm and conditional value on public acceptance of autonomous vehicles. by Ie Rei Park, Seoyong Kim, Jungwook Moon

    Published 2025-01-01
    “…The study revealed that the acceptance of autonomous vehicles is influenced by a number of factors, including knowledge, image, conditional value, and perceived risks. Additionally, the relationship with perceived benefits, image and autonomous vehicle is moderated by conditional value.…”
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    Article
  11. 4951

    Flood change detection model based on an improved U-net network and multi-head attention mechanism by Fajing Wang, Xu Feng

    Published 2025-01-01
    “…A modified U-Net network model, incorporating the Transformer multi-head attention mechanism (TM), is developed specifically for the characteristics of Synthetic Aperture Radar (SAR) images. By integrating the TM, the model effectively prioritizes image regions relevant to flood disasters. …”
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  12. 4952

    High-Precision Heading Determination Based on the Sun for Mars Rover by Yinhu Zhan, Shaojie Chen, Donghan He

    Published 2018-01-01
    “…The results show that the precision of the heading determination reaches 0.28–0.97′ (1σ) and the centroid error of the sun image and the sun elevation are major factors that affect the heading precision.…”
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  13. 4953

    Le patrimoine industriel, nouvel outil de promotion olympique ? Une analyse comparative by Helena Roux

    Published 2022-12-01
    “…En contrepoint, le réemploi du bâti industriel nourrit l’image d’un héritage positif et durable pour les Jeux Olympiques, comme déclencheurs d’un renouveau pour des friches industrielles en crise – tel que cela peut être décrit dans le récit olympique officiel. …”
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  14. 4954

    Analysis of Ploidy in Hypopharyngeal Cancer by Laser Scanning Cytometry on Fine Needle Aspirate Biopsies by Andreas O.H. Gerstner, Julia Machlitt, Hans‐Jürgen Welkoborsky, Friedrich Bootz, Attila Tárnok

    Published 2003-01-01
    “…The DNA‐index of the carcinoma cells ranges from 0.4 to 3.8. Comparison with image cytometry shows good correlation (r=0.89). …”
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  15. 4955

    MagNet: Automated Magnetic Mineral Grain Morphometry Using Convolutional Neural Network by Zhaowen Pei, Liao Chang, Pengfei Xue, Richard J. Harrison

    Published 2022-06-01
    “…Electron microscopy is often used to image magnetic mineral grains, but the current lack of systematic image processing tools makes it challenging to quantify key morphological features of magnetic minerals in natural samples. …”
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  16. 4956

    Zwischen dem Gedenken und der Ideologisierung der Kämpfe der Legionen in den Ostkarpaten in der polnischen Literatur der Zwischenkriegszeit by Jagoda Wierzejska

    Published 2024-12-01
    “…The article provides a critical analysis of representations of the Eastern Carpathians present in the interwar Polish literature, as a space marked by memory of the legionary battles during the Great War. Alongside the image of the Hutsul Region as a space of idyllic nature or a civilizing mission calculated to integrate the mountainous borderland with the rest of the modern state, the interwar Polish literature brought an image of the region as a unique place on the historical level for Poles. …”
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  17. 4957

    Usage of Satellite Imagery to Determine Distribution of Dacrycarpus imbricatus (Blume) De Laub. on The Tapak Hill, Batukahu Natural Reserve Bali by Rajif Iryadi, Arief Priyadi, I Dewa Putu Darma

    Published 2017-07-01
    “…Pleaides image is an important asset to obtain data and information with regard to the structure of the vegetation in the forest that are difficult to measure directly as the area is inaccessible and has a large coverage. …”
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  18. 4958

    Method for User Interface of Large Displays Using Arm Pointing and Finger Counting Gesture Recognition by Hansol Kim, Yoonkyung Kim, Eui Chul Lee

    Published 2014-01-01
    “…In addition, we propose a technique to facilitate finger counting gesture recognition, based on the depth image of the hand position. In this technique, the depth image is extracted from the end of the pointing vector. …”
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  19. 4959

    Rock Mechanical Property Influenced by Inhomogeneity by Yunliang Tan, Dongmei Huang, Ze Zhang

    Published 2012-01-01
    “…In a sense, brittleness is an image of rock inhomogeneity in macroscale, while profile fractal dimension is an image of rock inhomogeneity in microscale. …”
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  20. 4960

    Improvement of flipped classroom teaching in colleges and universities based on virtual reality assisted by deep learning by Wenxia Dai, Qinqing Kang

    Published 2025-01-01
    “…The test data shows that the similarity between video and image modes reaches 0.89, which indicates that different modal information can be effectively integrated to ensure the semantic consistency and intuitive understanding of teaching content. …”
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