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 object detection
Showing results 1 to 8 of 8
| 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 |
| 27-Dec-2024 | Detecting Plant Diseases Using Machine Learning Models | Kohut, N; Basystiuk, O; Shakhovska, N; Melnykova, N |
| 25-Oct-2021 | Extended variational inference for Dirichlet process mixture of Beta-Liouville distributions for proportional data modeling | Lai, Y; Guan, W; Luo, L; Ruan, Q; Ping, Y; Song, H; Meng, H; Pan, Y |
| 6-Jun-2019 | Moving Object Detection using Adaptive Blind Update and RGB-D Camera | Dorudian, N; Lauria, S; Swift, S |
| 15-May-2025 | Real-Time Object Detection and Distance Measurement Enhanced with Semantic 3D Depth Sensing Using Camera–LiDAR Fusion | Yildiz, AS; Meng, H; Swash, MR |
| 30-Aug-2023 | Real-Time Object Detection on High-Voltage Powerlines Using an Unmanned Aerial Vehicle (UAV) | Bellou, E; Pisica, I; Banitsas, K |
| 24-Feb-2022 | A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach with Application to Defect Detection | Zeng, N; Wu, P; Wang, Z; Li, H; Liu, W; Liu, X |
| 19-Mar-2025 | YOLO-ELWNet: A lightweight object detection network | Song, B; Chen, J; Liu, W; Fang, J; Xue, Y; Liu, X |
