12 papers
EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming
Xuanhao Yang, Bing Xue, Mengjie Zhang
Time series classification is an important analytical task across diverse domains. However, its practical application is often hindered by the scarcity of labeled data and the requ…
Positioning radiata pine branches requiring pruning by drone stereo vision
Yida Lin, Bing Xue, Mengjie Zhang +2
This paper presents a stereo-vision-based system mounted on a drone for detecting and localising radiata pine branches to support autonomous pruning. The proposed pipeline comprise…
Enhancing Generalization in Evolutionary Feature Construction for Symbolic Regression through Vicinal Jensen Gap Minimization
Hengzhe Zhang, Qi Chen, Bing Xue +2
Genetic programming-based feature construction has achieved significant success in recent years as an automated machine learning technique to enhance learning performance. However,…
Performance Evaluation of Deep Learning for Tree Branch Segmentation in Autonomous Forestry Systems
Yida Lin, Bing Xue, Mengjie Zhang +2
UAV-based autonomous forestry operations require rapid and precise tree branch segmentation for safe navigation and automated pruning across varying pixel resolutions and operation…
YOLO and SGBM Integration for Autonomous Tree Branch Detection and Depth Estimation in Radiata Pine Pruning Applications
Yida Lin, Bing Xue, Mengjie Zhang +2
Manual pruning of radiata pine trees poses significant safety risks due to extreme working heights and challenging terrain. This paper presents a computer vision framework that int…
Genetic Algorithms For Parameter Optimization for Disparity Map Generation of Radiata Pine Branch Images
Yida Lin, Bing Xue, Mengjie Zhang +2
Traditional stereo matching algorithms like Semi-Global Block Matching (SGBM) with Weighted Least Squares (WLS) filtering offer speed advantages over neural networks for UAV applic…