A forest fire detection system based on ensemble learning R Xu, H Lin, K Lu, L Cao, Y Liu Forests 12 (2), 217, 2021 | 478 | 2021 |
YOLO-tea: A tea disease detection model improved by YOLOv5 Z Xue, R Xu, D Bai, H Lin Forests 14 (2), 415, 2023 | 48 | 2023 |
A vision-based detection and spatial localization scheme for forest fire inspection from uav K Lu, R Xu, J Li, Y Lv, H Lin, Y Liu Forests 13 (3), 383, 2022 | 26 | 2022 |
Multi-scale forest fire recognition model based on improved YOLOv5s G Chen, H Zhou, Z Li, Y Gao, D Bai, R Xu, H Lin Forests 14 (2), 315, 2023 | 17 | 2023 |
TSBA-YOLO: An improved tea diseases detection model based on attention mechanisms and feature fusion J Lin, D Bai, R Xu, H Lin Forests 14 (3), 619, 2023 | 15 | 2023 |
Omni-dimensional dynamic convolution meets bottleneck transformer: a novel improved high accuracy forest fire smoke detection model J Qian, J Lin, D Bai, R Xu, H Lin Forests 14 (4), 838, 2023 | 11 | 2023 |
Integrated learning-based pest and disease detection method for tea leaves Y Wang, R Xu, D Bai, H Lin Forests 14 (5), 1012, 2023 | 9 | 2023 |
An improved forest fire and smoke detection model based on yolov5 J Li, R Xu, Y Liu Forests 14 (4), 833, 2023 | 9 | 2023 |
Compression and recovery of 3D broad-leaved tree point clouds based on compressed sensing R Xu, T Yun, L Cao, Y Liu Forests 11 (3), 257, 2020 | 5 | 2020 |
Deep Learning-Driven Edge Video Analytics: A Survey R Xu, S Razavi, R Zheng arXiv 2211, 2022 | 4 | 2022 |
DeepScale: Online frame size adaptation for multi-object tracking on smart cameras and edge servers K Nalaie, R Xu, R Zheng 2022 IEEE/ACM Seventh International Conference on Internet-of-Things Design …, 2022 | 3 | 2022 |
A High-Precision Ensemble Model for Forest Fire Detection in Large and Small Targets J Qian, D Bai, W Jiao, L Jiang, R Xu, H Lin, T Wang Forests 14 (10), 2089, 2023 | 1 | 2023 |
Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques R Xu, S Razavi, R Zheng IEEE Communications Surveys & Tutorials, 2023 | 1 | 2023 |