A5102874731- Advanced materials and composites
- Advanced ceramic materials synthesis
- Music and Audio Processing
- Speech and Audio Processing
- Speech Recognition and Synthesis
- Tribology and Wear Analysis
- Video Analysis and Summarization
- Fiber-reinforced polymer composites
- Additive Manufacturing and 3D Printing Technologies
- Natural Language Processing Techniques
- Aluminum Alloys Composites Properties
- Phonetics and Phonology Research
- Advanced Neural Network Applications
China Three Gorges University
2024
ORCID
2020
Beijing University of Posts and Telecommunications
2020
Abstract This study introduces an innovative technique for the fabrication of copper‐based polytetrafluoroethylene (PTFE)/graphite self‐lubricating composites. By harnessing exceptional capabilities selective laser sintering (SLS), we efficiently create three‐dimensional, continuous, and porous graphite preforms. Following this, composite is formed through a combination electroplating vacuum extrusion methods. Subsequently, PTFE was impregnated into microporous structure preforms, composites...
This paper introduces Grounding DINO 1.5, a suite of advanced open-set object detection models developed by IDEA Research, which aims to advance the "Edge" detection. The encompasses two models: 1.5 Pro, high-performance model designed for stronger generalization capability across wide range scenarios, and Edge, an efficient optimized faster speed demanded in many applications requiring edge deployment. Pro advances its predecessor scaling up architecture, integrating enhanced vision...
With the rapid development of social media, danmaku video provides a platform for users to communicate online. To some extent, emotional timing information and an innovative method analyze data. In age big data, studying characteristics its tendencies can not only help us understand psychological but also feedback effective platforms, which platforms optimize related short recommendations so that it provide more accurate solution selection audiences during production. However, is different...
Cantonese is one of the commonly used Chinese dialects, yet there a current lack effective research on speech recognition. Moreover, limited data results in its recognition performance being relatively inferior compared to other languages. Addressing above situation and issues, this paper proposes framework based unsupervised language-specific pre-training representation advance method improve performance. Initially, an unlabeled dataset has been collected Cantonese-specific model with...