Area of research
Rehabilitation · Molecular Biology
Research interest
Research interests include Convolutional neural network, Artificial intelligence, Neogenesis, Raman spectroscopy, Deep learning, and Computer science.
The mechanotransducer Piezo1 coordinates metabolism and inflammation to promote skin growth
Determination of zearalenone content in wheat by modified one-dimensional convolutional neural network-based Raman spectra
Determination of butylated hydroxytoluene in edible oil using near-infrared spectroscopy combined with multivariate analysis
Deep learning model based on molecular spectra to determine chlorpyrifos residues in corn oil
Monitoring of Chlorpyrifos Residues in Corn Oil Based on Raman Spectral Deep-Learning Model
Quantitative analysis of residues of chlorpyrifos in corn oil based on Fourier transform near-infrared spectroscopy and deep transfer learning
Comparison of the performance of different one-dimensional convolutional neural network models-based near-infrared spectra for determination of chlorpyrifos residues in corn oil
Wound-Induced Hair Neogenesis Model
Bacteria induce skin regeneration via IL-1β signaling