A5101813367- Cryptography and Data Security
- Robotics and Sensor-Based Localization
- Robotic Path Planning Algorithms
- Brain Tumor Detection and Classification
- Multimodal Machine Learning Applications
- Privacy-Preserving Technologies in Data
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Blockchain Technology Applications and Security
- Domain Adaptation and Few-Shot Learning
- Maritime Navigation and Safety
University of Electronic Science and Technology of China
2023-2025
It is of the utmost importance to achieve flexible and fine-grained access control electronic health records (EHR) in smart elderly healthcare (SEH) for providing high-quality services protecting their privacy simultaneously. In this paper, a flexible, fine-grained, elderly-centric scheme presented EHR data SEH. proposed scheme, Ciphertext Policy Attribute Based Encryption (CP-ABE), permission token, dual-key regression, blockchain techniques are leveraged realize multi-dimensional terms...
Multiple human parsing (MHP) is typically treated as two sub-tasks, i.e., instance separation and body part segmentation. Existing methods usually tackle the sub-tasks by adopting a two-stage strategy, which regards MHP an ROI-based (i.e., detect-then-segment) or grouping-based segment-then-grouping) paradigm. However, strong dependence between limits potential of method, since it often requires qualified prior predictions. Besides, isolated models responsible for bring significant...
Autonomous exploration is a widely studied fundamental application in the field of quadrotors, which requires them to automatically explore unknown space obtain complete information about environment. The frontier-based method, one representative works on autonomous exploration, drives determination by definition frontier information, so that environment available quadrotor. However, existing methods are able accomplish task but still suffer from inefficient exploration. How improve...