Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject YOLO
Showing results 1 to 7 of 7
Issue Date | Title | Author(s) |
24-May-2024 | Aerial Inspection of High-Voltage Power Lines Using YOLOv8 Real-Time Object Detector | Bellou, E; Pisica, I; Banitsas, K |
1-Jul-2024 | Automated Left Ventricle Segmentation in Echocardiography Using YOLO: A Deep Learning Approach for Enhanced Cardiac Function Assessment | Balasubramani, M; Sung, C-W; Hsieh, M-Y; Huang, EP-C; Shieh, J-S; Abbod, MF |
23-Feb-2025 | A Comparative Study of YOLO Series (v3–v10) with DeepSORT and StrongSORT: A Real-Time Tracking Performance Study | Alkandary, K; Yildiz, AS; Meng, H |
22-Sep-2020 | Defect Detection in Printed Circuit Boards Using You-Only-Look-Once Convolutional Neural Networks | Adibhatla, VA; Chih, H-C; Hsu, C-C; Cheng, J; Abbod, M; Shieh, JS |
27-Dec-2024 | Detecting Plant Diseases Using Machine Learning Models | Kohut, N; Basystiuk, O; Shakhovska, N; Melnykova, N |
2023 | Safe training of traffic assistants for detection of dangerous accidents | Li, Yifan |
19-Mar-2025 | YOLO-ELWNet: A lightweight object detection network | Song, B; Chen, J; Liu, W; Fang, J; Xue, Y; Liu, X |