A5006736574- Industrial Vision Systems and Defect Detection
- Technology Assessment and Management
- Additive Manufacturing Materials and Processes
- RNA Interference and Gene Delivery
- Additive Manufacturing and 3D Printing Technologies
- Simulation Techniques and Applications
- Digital Transformation in Industry
- Nanoplatforms for cancer theranostics
- Extracellular vesicles in disease
- Traditional Chinese Medicine Analysis
- Tea Polyphenols and Effects
- Systems Engineering Methodologies and Applications
- Product Development and Customization
Chinese Academy of Sciences
2016-2024
University of Chinese Academy of Sciences
2024
Technology and Engineering Center for Space Utilization
2024
China Academy of Space Technology
2022
Changchun Institute of Applied Chemistry
2016
Vat photopolymerization is renowned for its high flexibility, efficiency, and precision in ceramic additive manufacturing. However, due to the impact of random defects during recoating process, ensuring yield finished products challenging. At present, industry mainly relies on manual visual inspection detect defects; this an inefficient method. To address limitation, paper presents a method vat defect detection based deep learning framework. The framework innovatively adopts dual-branch...
A superior nanocarrier is facilely prepared and loaded with photothermal agent drug, which can efficiently kill cancer cells <italic>in vivo</italic>.
Vat photopolymerization is characterized by its high precision and efficiency, making it a highly promising technique in ceramic additive manufacturing. However, the process faces significant challenge form of recoating defects, necessitating real-time monitoring to maintain stability. This article presents defect detection method that leverages multi-image fusion deep learning for identifying defects In image process, multiple single-channel images captured camera positioned near equipment...