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  1. 1

    Deep learning based adaptive and automatic measurement of palpebral margin in eyelid morphology by Ali Ahemaiti, Si Chen, Siwen Lei, Li Liu, Muxin Zhao

    Published 2025-04-01
    “…Meanwhile, it for the first time measures the Margin Iris Intersectant Angle (MIA) as an innovative evaluation index. …”
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  2. 2

    Steering-Angle Prediction and Controller Design Based on Improved YOLOv5 for Steering-by-Wire System by Cunliang Ye, Yunlong Wang, Yongfu Wang, Yan Liu

    Published 2024-10-01
    “…To improve real-time accuracy in steering-angle prediction and enhance effectiveness in steering control, we update the bounding box regression loss function with the generalized intersection over union (GIoU) to Shape-IoU_Loss as a better-converging regression loss function for bounding-box improvement. …”
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  3. 3

    A case study on the impact of fiber distribution on X-connections of complex-shaped UHPFRC footbridges cast with recyclable formwork by Duc Anh Tran, Sandrine Heroux, Luca Sorelli, Mahdi Ben Ftima, David Conciatori, Christian Dupuis, Samuel Bernier-Lavigne

    Published 2025-07-01
    “…This study examines the influence of fiber distribution on the mechanical behavior of the X-connection, a critical structural detail in a novel latticework concept for UHPFRC footbridges, while also introducing an innovative approach using recycled wax formwork for shaping complex geometries.Following the architectural design process for the latticework UHPFRC footbridge, the methodology involves: (i) fabrication of fully recyclable wax formwork using CNC milling for two X-connection configurations with distinct crossing angles (i.e., the angle formed at the intersection of the X shape); (ii) gravity casting of UHPFRC, incorporating 1 % steel microfibers; (iii) application of the magnetic inductance method (MIM) for non-destructive testing to evaluate fiber distribution, supplemented by fiber counting and image analysis of cracked sections post-testing; (iv) mechanical testing of the X-connection under bending to assess structural performance; and (v) a nonlinear Finite Element Analysis (NLFEA) to comprehensively examine the impact of fiber distribution. …”
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  4. 4

    Quantum emitter in a plasmonic field: An orientation-generalized model by Harini Hapuarachchi, Jesse A. Vaitkus, Jared H. Cole

    Published 2025-05-01
    “…These hybrid systems enable the exploration and manipulation of optical fields at the intersection between classical and quantum phenomena. …”
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  5. 5

    Roadside LiDAR for C-ITS: placement, calibration, and fusion of perception by Changlong Zhang, Wei Zhou, Zhichao Liu, Pengcheng Xie, Wang Li, Jian Ou, Haixing Bao, Jimin Wei, Yi Wang

    Published 2025-06-01
    “…To address these challenges, this paper introduces a solution that combines roadside LiDAR with Cellular Vehicle-to-Everything (C-V2X) technology. To enable rapid deployment and calibration of roadside LiDAR at real-world environments, the study simulates a road segment environment using a real intersection and analyzes the distribution of LiDAR point clouds within the Roadside LiDAR Occupation Board (RSLOB). …”
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  6. 6

    Lightweight deep neural network for contour detection and extraction of wheat spikes in complex field environments by Xin Xu, Haiyang Zhang, Jiangchuan Lu, Ziyi Guo, Juanjuan Zhang, Jibo Yue, Hongbo Qiao, Xinming Ma

    Published 2025-08-01
    “…Method Building on two-year multi-angle wheat spike imagery, we propose an enhanced YOLOv9-LDS multi-scale object detection framework. …”
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  7. 7

    MODELING OF ROUGH ROTARY MILLING OF CRANKSHAFT PINS by Kacper CIEŚLAR, Stanisław PŁONKA

    Published 2023-12-01
    “…On the main cutting edge of two cutting inserts of the disc milling cutter, points were marked at intersection locations with these planes. Using the Inventor 2016 system, twelve spline curves have been generated for each plane because each plane intersects 12 cutting inserts mounted in cassettes positioned around the circumference of the body of the disc milling cutter. …”
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  8. 8

    Measurement of Maize Leaf Phenotypic Parameters Based on 3D Point Cloud by Yuchen Su, Ran Li, Miao Wang, Chen Li, Mingxiong Ou, Sumei Liu, Wenhui Hou, Yuwei Wang, Lu Liu

    Published 2025-04-01
    “…Plant height (PH), leaf width (LW), and leaf angle (LA) are critical phenotypic parameters in maize that reliably indicate plant growth status, lodging resistance, and yield potential. …”
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  9. 9

    Transfer of Periodic Phenomena in Multiphase Capillary Flows to a Quasi-Stationary Observation Using U-Net by Bastian Oldach, Philipp Wintermeyer, Norbert Kockmann

    Published 2024-09-01
    “…The selected images are used for 3D reconstruction enabling the 2D and 3D quantification of emerging droplets in capillaries that feature circular and square cross-sections. …”
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  10. 10

    Orbital Capture of Ejecta into Periodic Orbits around Binary Asteroid (65803) Didymos by Xiaoyu Fu, Flavia Saveriano, Stefania Soldini, Fabio Ferrari, Derek C. Richardson, Masatoshi Hirabayashi, Alessandro Rossi, Eugene G. Fahnestock, Tony L. Farnham, Arnold Gucsik, Stravro L. Ivanovski, Martin Jutzi, Akos Kereszturi, Jian-Yang Li, Francesco Marzari, Colby C. Merrill, Fernando Moreno, Sabina D. Raducan, Juan Luis Rizos, Gonzalo Tancredi, Josep M. Trigo-Rodriguez, Kleomenis Tsiganis, Stephan Ulamec, Yang Yu, Yun Zhang, Nancy Chabot, Andrew Rivkin, Adriano Campo Bagatin, Patrick Michel

    Published 2025-01-01
    “…The candidate POs are perturbed and backward-propagated using the invariant manifold theory, and eligible trajectories intersecting the asteroids’ surfaces are recorded. The ejecta characteristics of different POs are summarized from three principal aspects: ejection location, ejection velocity, and ejection angle. …”
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  11. 11

    Automatic Edge Detection From Point Clouds Collected by Terrestrial Laser Scanners by Anh Thu Thi Phan, Thi Ngoc Huynh, Mai Pham Huynh

    Published 2025-01-01
    “…The results revealed that the method can easily extract straight edges or intersections at 90° angles and the point density does not significantly influence the extraction of edge data, particularly for elements of considerable size. …”
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