A5055955189- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Biometric Identification and Security
- Advanced Image and Video Retrieval Techniques
- Computer Graphics and Visualization Techniques
- Artificial Intelligence in Healthcare
- Video Surveillance and Tracking Methods
- Face recognition and analysis
- Electrochemical sensors and biosensors
- Healthcare and Environmental Waste Management
- Advanced Image Fusion Techniques
- Recycling and Waste Management Techniques
- Municipal Solid Waste Management
- Advanced Image Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Gold and Silver Nanoparticles Synthesis and Applications
- Gas Sensing Nanomaterials and Sensors
- Forensic and Genetic Research
- Data Stream Mining Techniques
- Image Processing Techniques and Applications
- Smart Systems and Machine Learning
- Visual Attention and Saliency Detection
- Imbalanced Data Classification Techniques
- Machine Learning and ELM
- Remote-Sensing Image Classification
Wuhan University
2024
Southwest University
2019-2024
Chongqing University
2019
Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality rate, it induces other diseases. Since there are no obvious symptoms during the early stages of CKD, patients often fail to notice disease. Early detection CKD enables receive timely treatment ameliorate progression this Machine learning models can effectively aid clinicians achieve goal due their fast accurate recognition performance. In study, we propose machine methodology for diagnosing CKD. The...
The response of MISG@Au nano-urchin sensors indicated that selectivities the to corresponding plant biomarker VOCs were generated <italic>via</italic> branched tips Au nano-urchins and their electric field coupling effects.
Iris recognition is considered as one of the most promising biometrics due to its discriminative features and friendly acquisition methods. Herein, a deep learning-based method proposed achieve more accurate efficient iris recognition. The framework Attention Network (IrisAttenNet) integrates attention mechanism into lightweight CNN extract specifically. In process feature learning, channel with information that contribute result will attract be given higher weights, which similar human...