A5114777848- Advanced Battery Technologies Research
- Building Energy and Comfort Optimization
- Image Processing Techniques and Applications
- AI in cancer detection
- Refrigeration and Air Conditioning Technologies
- Medical Image Segmentation Techniques
- E-commerce and Technology Innovations
- Advancements in Photolithography Techniques
- Cell Image Analysis Techniques
- Robotics and Sensor-Based Localization
- Advanced Vision and Imaging
- Turbomachinery Performance and Optimization
- Integrated Circuits and Semiconductor Failure Analysis
- Industrial Vision Systems and Defect Detection
- Electromagnetic Compatibility and Noise Suppression
- Aerodynamics and Fluid Dynamics Research
- Digital Imaging for Blood Diseases
- Electric and Hybrid Vehicle Technologies
- Solar Energy Systems and Technologies
- Optical measurement and interference techniques
- Multilevel Inverters and Converters
- Innovative Energy Harvesting Technologies
- Image and Object Detection Techniques
- Induction Heating and Inverter Technology
- Combustion and flame dynamics
City University of Macau
2025
Huazhong University of Science and Technology
2024
Xiamen University
2018
Visual Components (Finland)
1991
The cross-border port serves as a crucial travel connecting mainland China with Hong Kong and Macau, directly impacting the overall satisfaction of travel. While previous studies on neighborhoods, communities, other areas have thoroughly examined heterogeneity asymmetry in satisfaction, research at ports remains notably limited. This paper explores using gradient boosted decision trees (GBDT) k-means cluster analysis under framework three-factor theory, aiming to demonstrate latest...
The cross-border port serves as a crucial travel connecting mainland China with Hong Kong and Macau, directly impacting the overall satisfaction of travel. While previous studies on neighborhoods, communities, other areas have thoroughly examined heterogeneity asymmetry in satisfaction, research at ports remains notably limited. This paper explores using gradient boosted decision trees (GBDT) k-means cluster analysis under framework three-factor theory, aiming to demonstrate latest...
Cell segmentation for multi-modal microscopy images remains a challenge due to the complex textures, patterns, and cell shapes in these images. To tackle problem, we first develop an automatic classification pipeline label based on their low-level image characteristics, then train model category labels. Afterward, separate each using corresponding category. Besides, further deploy two types of models segment cells with roundish irregular respectively. Moreover, efficient powerful backbone is...
As a key component-connecting compressor and the entrance of combustion chamber, diffuser is able to increase pressure slow down airflow in order promote efficient as well avoid large amount loss. In this paper, experimental investigation numerical studies have been carried out understand effects air bleeding from dump region gap ratio on total loss static recovery diffusers. The ultimate objective optimizing design get maximum minimum A simplified test model used study effect outer...
3D scene reconstruction from 2D images has been a long-standing task. Instead of estimating per-frame depth maps and fusing them in 3D, recent research leverages the neural implicit surface as unified representation for reconstruction. Equipped with data-driven pre-trained geometric cues, these methods have demonstrated promising performance. However, inaccurate prior estimation, which is usually inevitable, can lead to suboptimal quality, particularly some geometrically complex regions. In...