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  1. 621
  2. 622

    STRUCTURAL AND KINEMATICAL ANALYSIS OF MODEL OF SERIAL ROBOT by Ovidiu ANTONESCU, Mariana TROFIMESCU, Paun ANTONESCU

    Published 2019-05-01
    “…Four continuous current electric motors are used for driving the serial robot. We carried out a structural analysis of the robot, which has four mobilities, while the fourth one is redundant. …”
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    Article
  3. 623

    Clock Synchronization Algorithm for Structural Modal Measurement by Junliang Hu, Kai Li, Chaoxian Yan, Huawei Guo, Nannan Cui, Shiping Huang, Xiaoyan Ding

    Published 2022-01-01
    “…To accurately measure the structural modal, it is necessary to perform clock synchronization operations on the vibration sensors at each measuring point of the structure. …”
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    Article
  4. 624
  5. 625

    Resolving structural variability in network models and the brain. by Florian Klimm, Danielle S Bassett, Jean M Carlson, Peter J Mucha

    Published 2014-03-01
    “…Together, the network models that we develop and employ provide a potentially useful starting point for the statistical inference of brain network structure from neuroimaging data.…”
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    Article
  6. 626

    Global Structural Knowledge Distillation for Semantic Segmentation by Hyejin Park, Keonhee Ahn, Hyesong Choi, Dongbo Min

    Published 2025-01-01
    “…This map encodes the key structural patterns of the image by calculating pairwise similarities between the sampled points, providing the structural information of the scene. …”
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    Article
  7. 627

    DESIGN AND TEST OF CONNECTING POINT BETWEEN ACRYLIC SPHERE AND STAINLESS STEEL TRUSS FOR JUNO CENTRAL DETECTOR by HAO JiaJun, QIAN XiaoHui, MA XiaoYan, HENG YueKun, WANG LingShu, WANG YuanQing

    Published 2016-01-01
    “…The structure of connecting point between a large acrylic sphere and stainless steel truss outside was designed preliminarily,and its loading capacity was verified by finite element method using ABAQUS software. …”
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    Article
  8. 628

    Shaking Table Test of High Pier and Small Radius Curved Bridge under Multi-point Excitation by Lei Yan, Guo Li, Kang An, Kefeng Yue, Zhi Lin

    Published 2021-01-01
    “…According to the multi-point excitation theory of long-span structures and the similar theory of shaking table test in model structures, a high pier with small radius curved girder bridge was used as the research object. …”
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    Article
  9. 629

    The comparison of distance metrics in descriptor matching methods utilised in TLS-SfM point cloud registration by Markiewicz Jakub

    Published 2025-06-01
    “…Advanced measurement techniques, such as Terrestrial Laser Scanning (TLS), play a vital role in documenting cultural heritage and civil engineering structures. A key aspect of these applications is the accurate registration of point clouds. …”
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  10. 630
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    Une double conduite en bois découverte avenue du Point-du-Jour à Lyon by Sylvain Motte

    Published 2023-12-01
    “…An excavation conducted at 73-75-77 avenue du Point-du-Jour in Lyon (Rhône) in January 2020 brought to light a hydraulic system consisting of a double wooden pipe.The two parallel pipes lie in a ditch measuring 4 m in width and 2.80 m in depth. …”
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    Article
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    MSaD-Net: A Mix Self-Attention Networks for 3D Point Cloud Denoising by Xusheng Zhu, Shuai Ma, Daixin Chen, Li Zhou, Haibo Tang

    Published 2023-01-01
    “…In order to solve the above problems, we propose a self-attention-based point cloud denoising network architecture, through the Transformer structure, to establish long-range dependencies of the points. …”
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    Article
  14. 634

    Three-Dimensional Instance Segmentation of Rooms in Indoor Building Point Clouds Using Mask3D by Michael Brunklaus, Maximilian Kellner, Alexander Reiterer

    Published 2025-03-01
    “…After hyperparameter optimization, Mask3D outperforms the current state-of-the-art method RoomFormer evaluated in 3D on the synthetic Structured3D dataset. We provide generalization results of Mask3D trained on Structured3D to the real-world S3DIS and Matterport3D datasets, showing a domain gap. …”
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    Article
  15. 635

    LSTM-based framework for predicting point defect percentage in semiconductor materials using simulated XRD patterns by Mehran Motamedi, Reza Shidpour, Mehdi Ezoji

    Published 2024-10-01
    “…We further examined the relationship between crystal structure and defect precentage predictions, uncovering consistent trends for materials with Diamond Cubic and Zinc Blende structures. …”
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    Article
  16. 636

    Interval-index technology of synthesis of the parallel algorithms for modular-point code conversion with the table-summation configuration by A. A. Kolyada, P. V. Kuchynski, A. F. Chernyavsky

    Published 2022-09-01
    “…The proposed algorithms are based on the direct implementation of interval- modular form of interval numbers using an index that has a very simple computational structure. Shows the new modular parallel procedure-point code conversion. …”
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    Article
  17. 637

    Optimization of a Dense Mapping Algorithm with Enhanced Point-Line Features for Open-Pit Mining Environments by Yuanbin Xiao, Bing Li, Wubin Xu, Weixin Zhou, Bo Xu, Hanwen Zhang

    Published 2025-03-01
    “…The algorithm generates high-precision dense point cloud maps and uses an octree structure for efficient 3D spatial representation. …”
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    Article
  18. 638

    Multi-Scale Geometric Feature Extraction and Global Transformer for Real-World Indoor Point Cloud Analysis by Yisheng Chen, Yu Xiao, Hui Wu, Chongcheng Chen, Ding Lin

    Published 2024-12-01
    “…Indoor point clouds often present significant challenges due to the complexity and variety of structures and high object similarity. …”
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    Article
  19. 639

    Development of Navigation Network Models for Indoor Path Planning Using 3D Semantic Point Clouds by Jiwei Hou, Patrick Hübner, Dorota Iwaszczuk

    Published 2025-01-01
    “…Accurate and efficient path planning in indoor environments relies on high-quality navigation networks that faithfully represent the spatial and semantic structure of the environment. Three-dimensional semantic point clouds provide valuable spatial and semantic information for navigation tasks. …”
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    Article
  20. 640