A5030446686- Blockchain Technology Applications and Security
- IoT and Edge/Fog Computing
- Cloud Data Security Solutions
- Face recognition and analysis
- Robotic Path Planning Algorithms
- Privacy-Preserving Technologies in Data
- Generative Adversarial Networks and Image Synthesis
- Modular Robots and Swarm Intelligence
- Machine Fault Diagnosis Techniques
- Digital and Cyber Forensics
- Cloud Computing and Resource Management
- Advanced Manufacturing and Logistics Optimization
- Robotics and Sensor-Based Localization
- Facial Rejuvenation and Surgery Techniques
- Gear and Bearing Dynamics Analysis
- Optimization and Search Problems
- Biometric Identification and Security
- Industrial Vision Systems and Defect Detection
- Engineering Diagnostics and Reliability
- Digital Transformation in Industry
- Reliability and Maintenance Optimization
- Facial Nerve Paralysis Treatment and Research
China University of Mining and Technology
2022-2024
Education University of Hong Kong
2024
(1) Background: Rolling bearings are important components in mechanical equipment, but they also with a high failure rate. Once malfunction occurs, it will cause equipment to and may even affect personnel safety. Therefore, studying the fault diagnosis methods for rolling is of great significance current research hotspot frontier. However, vibration signals usually exhibit nonlinear non-stationary characteristics, easily affected by industrial environmental noise, making difficult accurately...
In light of growing concerns about the misuse personal data resulting from widespread use artificial intelligence technology, it is necessary to implement robust privacy-protection methods. However, existing methods for protecting facial privacy suffer issues such as poor visual quality, distortion and limited reusability. To tackle this challenge, we propose a novel approach called Diffusion Models Face Privacy Protection (DIFP). Our method utilizes face generator that conditionally...
Due to the competitive relationship among different smart factories, equipment manufacturers cannot integrate private information of all factories train intelligent manufacturing fault prediction model and improve accuracy detection. The use a low recognition rate for will cause additional losses them. In this work, we propose blockchain-based privacy security sharing scheme in Industrial Internet Things (IIoT) solve problem factories. Firstly, abstract as edge nodes build decentralized,...
In the past few years, 3D Morphing Model (3DMM)-based methods have achieved remarkable results in single-image face reconstruction. However, high-fidelity texture generation has been successfully with this method, which mostly uses power of deep convolutional neural networks during parameter fitting process, leads to an increase number network layers and computational burden model reduces speed. Currently, existing speed by using lightweight for fitting, but at expense reconstruction...