A5103271235- Advanced Decision-Making Techniques
- Remote Sensing and Land Use
- Stroke Rehabilitation and Recovery
- Remote-Sensing Image Classification
- Smart Agriculture and AI
- Remote Sensing and LiDAR Applications
- Safety and Risk Management
- Land Use and Ecosystem Services
- Spectroscopy and Chemometric Analyses
- Tactile and Sensory Interactions
- Robot Manipulation and Learning
- Simulation and Modeling Applications
Second Artillery General Hospital of Chinese People's Liberation Army
2024
Southwest Forestry University
2024
California State Polytechnic University
2011
Improving the precision of remote sensing estimation and implementing fusion analysis multi-source data are crucial for accurately estimating aboveground carbon storage in forests. Using Google Earth Engine (GEE) platform conjunction with national forest resource inventory Landsat 8 multispectral imagery, this research applies four machine learning algorithms available on GEE platform: Random Forest (RF), Classification Regression Trees (CART), Gradient Boosting (GBT), Support Vector Machine...
Accurate coffee plant counting is a crucial metric for yield estimation and key component of precision agriculture. While multispectral UAV technology provides more accurate crop growth data, the varying spectral characteristics plants across different phenological stages complicate automatic counting. This study compared performance mainstream YOLO models detection segmentation, identifying YOLOv9 as best-performing model, with it achieving high in both (P = 89.3%, mAP50 94.6%) segmentation...
This paper is the continuation of a work presented at ICORR 07, in which we discussed possibility improving eye-hand coordination children diagnosed with this problem, using robotic mapping from haptic user interface to virtual environment. Our goal develop, implement and refine system that will assess improve grip strength poor graphomotor skills. A detailed analysis patters (e.g., labyrinths, letters angles) was conducted order select three very distinguishable levels difficulty could be...