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Showing 1 - 20 results of 66 for search '(("yolo" OR "yolov") OR "yoo")', query time: 0.08s Refine Results
  1. 1

    Object grasping of humanoid robot based on YOLO by Tian, Li, Thalmann, Nadia Magnenat, Thalmann, Daniel, Fang, Zhiwen, Zheng, Jianmin

    Published 2020
    “…We modify the open sourced objection detection software YOLO (You Only Look Once) v2 [2] and associate it with the visual sensor to make the sensor be able to detect not only the category of the target object but also the location with the help of a depth camera. …”
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    Conference Paper
  2. 2

    Vehicle number plate detection and verification using yolo frameworks. by H. Hussein, S. Y. S., M. Ariff, M. H., A. Rahman, M. A.

    Published 2023
    “…This project concerns the application of two YOLO frameworks (YOLOv3 and YOLOv4) for accurate number plate detection. …”
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    Article
  3. 3

    Unmanned aerial vehicle (UAV) object detection using YOLO detector by Guo, Huanchen

    Published 2024
    “…Inspired by experiments conducted in this dissertation and related literature, the baseline of YOLOv8 is modified and the modified version achieves 2% ~ 5% higher accuracy.…”
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    Thesis-Master by Coursework
  4. 4

    Real-Time Object Detection System for Hospital Assets Using YOLOv8 by Andalusia, Friska, Suakanto, Sinung, Hamami, Faqih, Mat Raffei, Anis Farihan, Nuryatno, Edi

    Published 2024
    “…Performance tests were carried out in this research using the YOLO architecture, especially on YOLOv8. one of the improvements of popular deep learning algorithms. …”
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    Conference or Workshop Item
  5. 5

    Corrugation and Squat Classification and Detection with VGG16 and YOLOv5 Neural Network Models by Mohd Yazed, Muhammad Syukri, Mohd Yunus, Mohd Amin, Ahmad Shaubari, Ezak Fadzrin, Abdul Hamid, Nor Aziati, Amzah, Azmale, Md Ali, Zulhelmi

    Published 2024
    “…This study presents a novel approach utilizing deep learning models, VGG16 and YOLOv5, for detecting and classifying railway track defects, explicitly focusing on corrugation and squat defects. …”
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    Article
  6. 6

    Road damage detection for autonomous driving vehicles using YOLOv8 and salp swarm algorithm by Nik Ahmad Farihin, Mohd Zulkifli, Zuriani, Mustaffa, Mohd Herwan, Sulaiman

    Published 2025
    “…The model is then retrained using the hyperparameters identified by SSA. The YOLOv8 models optimized using SSA are compared with the original YOLOv8 and other YOLO versions (YOLOv5, YOLOv9, and YOLOv10), demonstrating a 3.5% improvement in accuracy after hyperparameter optimization in detecting road damage.…”
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    Article
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