Chongbo Yin

AUNet: A Deep Learning Method for Spectral Information Classification to Identify the Ink Yan Shi, Xinyu He, Qinglun Zhang, Chongbo Yin, Ninghui Feng, Haoming Chen and Hualing Lin Abstract It is common to tamper with the contents of documents and forge contracts illegally. In this work, we propose a U-shaped network with attention module (AUNet) and combine it with a hyperspectral system to effectively identify different inks.

A Novel Kohonen One-Class Method for Quality Control of Tea Coupled with the Artificial Lipid Membrane Taste Sensors The effective outlier detection method is an important technical in the process of product quality monitoring. In this work, a novel Kohonen one-class model coupled with the artificial lipid membrane taste sensors was proposed for tea quality control.