X. Qi

Moldy Peanut Kernel Identification Using Wavelet Spectral Features Extracted from Hyperspectral Images

Jinbao Jiang, X. Qi, X. Cui, 2019, Food Analytical Methods.

An application to analyzing and correcting for the effects of irregular topographies on NIR hyperspectral images to improve identification of moldy peanuts

Jinbao Jiang, X. Qi, Deshuai Yuan, 2020 .

Microstructure and mechanical properties of 316L stainless steel produced by selective laser melting

X. Qi, H.P. Feng, Lin Liu, 2019, MATERIALS SCIENCE, ENERGY TECHNOLOGY AND POWER ENGINEERING III (MEP 2019).

Identification of fungi-contaminated peanuts using hyperspectral imaging technology and joint sparse representation model

Ximin Cui, Deshuai Yuan, Jinbao Jiang, 2019, Journal of Food Science and Technology.

Effects of size reduction on deformation, microstructure, and surface roughness of micro components for micro metal injection molding

X. Qi, X. Qu, Xiang Li, 2017, International Journal of Minerals, Metallurgy, and Materials.

Using convolution neural network and hyperspectral image to identify moldy peanut kernels

Ziwei Liu, Xiaojun Qiao, Yingyang Pan, 2020 .

Utilization of spectral-spatial characteristics in shortwave infrared hyperspectral images to classify and identify fungi-contaminated peanuts.

Xiaojun Qiao, Deshuai Yuan, Xiaotong Qi, 2017, Food chemistry.

Selecting key wavelengths of hyperspectral imagine for nondestructive classification of moldy peanuts using ensemble classifier

Jinbao Jiang, X. Qi, Deshuai Yuan, 2020 .