Showing 301 - 320 results of 6,806 for search 'surface detection', query time: 0.17s Refine Results
  1. 301

    Surface Coatings Modulate the Differences in the Adhesion Forces of Eukaryotic and Prokaryotic Cells as Detected by Single Cell Force Microscopy by Philipp Wysotzki, Jan Gimsa

    Published 2019-01-01
    “…Lower MDFs (1 to 5 nN) were detected on PEI/laminin with the lowest on PDL/laminin. …”
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    Detection and safety assessment of bonding defects in architectural decorative surface layer based on the variation of vibration acceleration amplitude by Zhide Wang, Xiaogen Liu, Dake Cao, Detian Wan, Shaoshan Wei

    Published 2025-07-01
    “…To minimize the risk of finish layer detachment and ensure its safety, this study presents a novel non-destructive testing technique that detects bonding defects in the decorative surface layer by analyzing variations in vibration acceleration amplitude. …”
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    EAD-YOLOv10: Lightweight Steel Surface Defect Detection Algorithm Research Based on YOLOv10 Improvement by Hu Haoyan, Tong Jinwu, Wang Haibin, Lu Xinyun

    Published 2025-01-01
    “…In response to the issues of low detection accuracy (DA), slow speed, and missed detections caused by the complex texture background and diverse shapes of surface defects (SD) in steel, this paper designs an improved lightweight YOLOv10 model called EAD-YOLOv10. …”
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    YOLO-RDM: A high accuracy and efficient algorithm for magnetic tile surface defect detection with practical applications. by Wei Niu, Cheng Lv, Enxu Zhang, Zhongbin Wei

    Published 2025-01-01
    “…It also has obvious performance advantages compared with other object detection models. In addition, it achieves good recognition results on the NEU metal surface defect dataset. …”
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    Slab Waveguide Sensor with Left-handed Material Core Layer for Detection an Adlayer Thickness and Index by Hani M. Kullab, Ibrahim M. Qadoura, Sofyan A. Taya

    Published 2015-06-01
    “…A four-layer slab waveguide structure with a lossy left-handed material (LHM) core layer is investigated as a surface sensor for detection any change in an adlayer thickness and refractive index. …”
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    Edge-YOLO: Lightweight Multi-Scale Feature Extraction for Industrial Surface Inspection by Wang Guiqiang, Chen Junbao, Li Chengzhang, Lu Shuo

    Published 2025-01-01
    “…The increasing complexity of industrial quality control necessitates advanced defect detection systems capable of identifying small-scale surface anomalies with high precision. …”
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  17. 317

    Research on Surface Defects Classification for PET Preform by Fusing Multi-Scale Features by Chunmei Duan, Taochuan Zhang, Lei Han, Huilin Tan

    Published 2025-01-01
    “…In order to improve the accuracy and reliability of PET preform detection, reduce the cost of product quality defects, and improve the overall level of product quality, this paper proposes a surface defect detection method for PET preform based on multi-scale feature fusion. …”
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