Adaptive Multi-interpolation and Multi-dimensional Feature Weighting for Binocular 3-D Visible Surface Reconstruction
Shuzhuang Wu, Fupei Wu, Gengjia Qiu, Weilin Ye
cn (code pays fourni par la source)
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Shuzhuang Wu, Fupei Wu, Gengjia Qiu, Weilin Ye
cn (code pays fourni par la source)
Xinlei Tan, Fupei Wu, Yuchen Li, Weilin Ye
cn (code pays fourni par la source)
The aggregation and deposition of amyloid proteins are considered key contributors to the pathogenesis of various diseases. In recent years, a variety of nanoparticles have been employed to modulate amyloid protein aggregation. Among them, silica nanoparticles (SNs) have emerged as particularly promising …
cn (code pays fourni par la source)
Xinlei Tan, Fupei Wu, Yuchen Li, Weilin Ye
cn (code pays fourni par la source)
Si‐Cong Bai, Yecheng Wang, Weilin Ye, Size Wu et autres
Abnormal amyloid beta (Aβ) aggregation is a key factor in Alzheimer’s disease (AD) pathology. Despite efforts to develop Aβ aggregation inhibitors, efficient screening strategies remain limited. Here, we initially applied structure-based virtual screening to target Aβ fibril ends, aiming to identify compounds …
cn (code pays fourni par la source)
Lifu Duan, Zhile Yuan, Zhidan Zheng, Weilin Ye et autres
Rapid detection of hydrogen (H 2 ) is essential for industrial production and environmental monitoring. Beat frequency photoacoustic spectroscopy offers an inherent measurement speed of milliseconds but at the cost of sensitivity. To overcome this limitation, we propose a novel photoacoustic ringdown …
cn (code pays fourni par la source)
Yecheng Wang, Si‐Cong Bai, Xueying Hu, Jiayi Lin et autres
• A novel gold nanocluster functionalized with a specific Aβ recognition motif (KLVFF), was successfully synthesized. • The nanocluster, named AuCRHA1, demonstrated a significant ability to inhibit Aβ aggregation, even in complex solutions. • The inhibitory mechanisms of AuCRHA1 were thoroughly elucidated …
cn (code pays fourni par la source)
Ruicheng Zhang, Kai Yao, Lijian Wu, Bo Li et autres
The fault detection of industrial components is crucial for ensuring the safety and reliability of industrial systems. This paper presents a change detection-based approach for fault detection in industrial components, employing a ResNet34based neural network. Data augmentation techniques are used to simulate …
cn (code pays fourni par la source)
Weilin Ye, Bo Li, Yuàn Wang, Ruicheng Zhang et autres
Recent advances in deep learning have revolutionized the field of surface defect detection in industrial vision systems, especially within the realm of industrial equipment maintenance, where timely and accurate inspections play a crucial role in preventing critical failures and ensuring smooth operations. …
cn (code pays fourni par la source)
Xinlei Tan, Fupei Wu, Y. Li, Weilin Ye
2D visual measurement is a non-contact technique that is widely applied in industrial fields due to its high precision and efficiency. The resolution of measurement images is a critical factor that directly determines the upper limit of measurement accuracy. Currently, improving image …
cn (code pays fourni par la source)
Junlong Peng, Fupei Wu, Cong Hu, Weilin Ye
Dense point clouds significantly improve the reconstruction accuracy of intricate printed circuit board (PCB) components. However, the density of point cloud is inherently limited by camera resolution. While high-resolution cameras enhance detail capture, they substantially increase hardware costs and introduce additional image …
jp, cn (code pays fourni par la source)
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