Multi-spectral fusion and self-attention mechanisms for Gentiana origin . . . In summary, the near-infrared spectroscopy model for discriminating the origin of Gentiana, based on the sequence convolution attention module (GL), can effectively identify the origin of Gentiana, making the discrimination process faster and more accurate
Multi-spectral fusion and self-attention mechanisms for . . . Gentiana is rich in Gentiopicroside and strychnine acid with medicinal value However, the active ingredients of Gentiana from different origins are different, so identifying Gentian's origin is significant
Multi-spectral fusion and self-attention mechanisms for . . . Article "Multi-spectral fusion and self-attention mechanisms for Gentiana origin identification via near-infrared spectroscopy" Detailed information of the J-GLOBAL is an information service managed by the Japan Science and Technology Agency (hereinafter referred to as "JST")
Multi-spectral fusion and self-attention mechanisms for Gentiana origin . . . Introducing a convolutional attention module to facilitate the fusion of post-processed data, thereby complementing each other Employing an ensemble approach with multiple neural network models to achieve the task The ensemble model exhibits excellent performance across multiple evaluation metrics
Fast quality assessment and origin identification of Gentianae . . . This study explores the application of Fourier Transform Infrared Photoacoustic Spectroscopy (FTIR-PAS) combined with chemometric analysis for rapid quality assessment and origin species verification of Gentianae Macrophyllae Radix (Qinjiao)
A fast multi-source information fusion strategy based on . . . Two information fusion methods combined with two data mining methods were used to further improve the classification performance The results showed that PCA could hardly distinguish these origins
Infrared-spectrum-effect combined with deep learning to predict the . . . This study employs the infrared-spectrum-effect to reflect the differences among different origins The partial least squares-discriminant analysis (PLS-DA) and data-driven version of SIMCA (DD-SIMCA) models were used to determine origin