RSPSSL: A novel high-fidelity Raman spectral preprocessing scheme to enhance biomedical applications and chemical resolution visualization
J Hu, GJ Chen, C Xue, P Liang, Y Xiang… - Light: Science & …, 2024 - nature.com
… -physical composition relationships, we will design a chimera network combining physical
… * , and UNet-1D * preprocessed spectra also show increased prediction errors than the Raw …
… * , and UNet-1D * preprocessed spectra also show increased prediction errors than the Raw …
Prediction of total volatile basic nitrogen contents using wavelet features from visible/near-infrared hyperspectral images of prawn (Metapenaeus ensis)
… to analyse the spectra matrix of prawns in this study. A … and useful tool for predicting and
visualizing TVB-N contents of … 1000 nm) HSI system in combination with wavelet features were …
visualizing TVB-N contents of … 1000 nm) HSI system in combination with wavelet features were …
Potential of hyperspectral imaging and multivariate analysis for rapid and non-invasive detection of gelatin adulteration in prawn
D Wu, H Shi, Y He, X Yu, Y Bao - Journal of Food Engineering, 2013 - Elsevier
… To our knowledge, it is the first time to use the combination of UVE and SPA for spectral …
of spectral data and to predict and visualize the hidden information of gelatin concentrations. …
of spectral data and to predict and visualize the hidden information of gelatin concentrations. …
Prediction of moisture content uniformity of microwave-vacuum dried mangoes as affected by different shapes using NIR hyperspectral imaging
YY Pu, DW Sun - Innovative Food Science & Emerging Technologies, 2016 - Elsevier
… in combination with multivariate chemometric analysis. Applying … and the optimal model was
used for image visualization. … of 1st Der to raw spectra allowed better prediction for the MC of …
used for image visualization. … of 1st Der to raw spectra allowed better prediction for the MC of …
Identification and visualization of environmental microplastics by Raman imaging based on hyperspectral unmixing coupled machine learning
F Li, D Liu, X Guo, Z Zhang, FL Martin, A Lu… - Journal of Hazardous …, 2024 - Elsevier
… Combining machine learning with Raman spectroscopy and introducing image recognition
algorithms to analyse spectral … of prediction results. The closer r is to 1, the more accurate the …
algorithms to analyse spectral … of prediction results. The closer r is to 1, the more accurate the …
Hyperspectral imaging for real-time monitoring of water holding capacity in red meat
M Kamruzzaman, Y Makino, S Oshita - LWT-Food Science and Technology, 2016 - Elsevier
… Hyperspectral imaging is a combination of both imaging and spectroscopy in a single … to
predict the quality attributes in red meat, not only in spectral domain, but also to visualize in the …
predict the quality attributes in red meat, not only in spectral domain, but also to visualize in the …
1D gradient-weighted class activation mapping, visualizing decision process of convolutional neural network-based models in spectroscopy analysis
… oils by the combination of Raman spectroscopy and ResNet, the visualization by 1D Grad-…
of CNN and paves the way for CNN to a broad application in the field of 1D spectroscopy. …
of CNN and paves the way for CNN to a broad application in the field of 1D spectroscopy. …
Study on starch content detection and visualization of potato based on hyperspectral imaging
F Wang, C Wang, S Song, S Xie… - Food Science & …, 2021 - Wiley Online Library
… This study combined hyperspectral imaging with chemometrics to predict potato starch content.
… HSI is superior to traditional near-infrared spectroscopy due to its ability to visualize and …
… HSI is superior to traditional near-infrared spectroscopy due to its ability to visualize and …
… assessment of feature-wavelength eligibility for measurement of water binding capacity and specific gravity of tuber using diverse spectral indices stemmed from …
… regression (LWPCR) models that predicted tuber WBC and SG. … The objective of this study
was to measure and visualize the … combinations of feature wavelengths from different spectra …
was to measure and visualize the … combinations of feature wavelengths from different spectra …
Nondestructive testing and visualization of compound heavy metals in lettuce leaves using fluorescence hyperspectral imaging
X Zhou, C Zhao, J Sun, K Yao, M Xu, J Cheng - … Biomolecular Spectroscopy, 2023 - Elsevier
… spectral information, which occupies a large storage space. Hence, wavelet transform combined
… set and the remaining 434 samples as the prediction set. Further, the results of the MLR …
… set and the remaining 434 samples as the prediction set. Further, the results of the MLR …