An overview of variable selection methods in multivariate analysis of near-infrared spectra
With the advances in innovative instrumentation and various valuable applications, near-
infrared (NIR) spectroscopy has become a mature analytical technique in various fields …
infrared (NIR) spectroscopy has become a mature analytical technique in various fields …
Quantitative assessment of wheat quality using near‐infrared spectroscopy: A comprehensive review
Wheat is one of the most widely cultivated crops throughout the world. A great need exists
for wheat quality assessment for breeding, processing, and products production purposes …
for wheat quality assessment for breeding, processing, and products production purposes …
New approach for rapid estimation of leaf nitrogen, phosphorus, and potassium contents in apple-trees using Vis/NIR spectroscopy based on wavelength selection …
Timely and rapid monitoring of apple trees nutrition status is vital for accurate management
of nutrient fertilizers in order to improve the yield and quality, as well as to reduce the risk of …
of nutrient fertilizers in order to improve the yield and quality, as well as to reduce the risk of …
A strategy that iteratively retains informative variables for selecting optimal variable subset in multivariate calibration
Nowadays, with a high dimensionality of dataset, it faces a great challenge in the creation of
effective methods which can select an optimal variables subset. In this study, a strategy that …
effective methods which can select an optimal variables subset. In this study, a strategy that …
[HTML][HTML] Combining Vis-NIR and NIR hyperspectral imaging techniques with a data fusion strategy for the rapid qualitative evaluation of multiple qualities in chicken
X Li, M Cai, M Li, X Wei, Z Liu, J Wang, K Jia, Y Han - Food Control, 2023 - Elsevier
Total volatile basic nitrogen (TVB-N) and total viable count (TVC) are two important
indicators for evaluating and controlling the quality and safety of chicken fillets. The aim of …
indicators for evaluating and controlling the quality and safety of chicken fillets. The aim of …
An efficient method of wavelength interval selection based on random frog for multivariate spectral calibration
Wavelength selection is a critical step for producing better prediction performance when
applied to spectral data. Considering the fact that the vibrational and rotational spectra have …
applied to spectral data. Considering the fact that the vibrational and rotational spectra have …
Fusion of electronic nose and hyperspectral imaging for mutton freshness detection using input-modified convolution neural network
C Liu, Z Chu, S Weng, G Zhu, K Han, Z Zhang, L Huang… - Food Chemistry, 2022 - Elsevier
Electronic nose (E-nose) and hyperspectral image (HSI) were combined to evaluate mutton
total volatile basic nitrogen (TVB-N), which is a comprehensive index of freshness. The …
total volatile basic nitrogen (TVB-N), which is a comprehensive index of freshness. The …
Sentinel‐2 accurately maps green‐attack stage of European spruce bark beetle (Ips typographus, L.) compared with Landsat‐8
Natural disturbances induced by insect outbreaks have increased in forest ecosystems over
the past decades. To minimize economic loss and prevent a mass outbreak, early detection …
the past decades. To minimize economic loss and prevent a mass outbreak, early detection …
libPLS: An integrated library for partial least squares regression and linear discriminant analysis
Partial least squares (PLS) have gained wide applications especially in chemometrics,
metabolomics/metabonomics as well as bioinformatics. Here, we present libPLS, a library …
metabolomics/metabonomics as well as bioinformatics. Here, we present libPLS, a library …
A review on hybrid strategy-based wavelength selection methods in analysis of near-infrared spectral data
J Fu, HD Yu, Z Chen, YH Yun - Infrared Physics & Technology, 2022 - Elsevier
Wavelength (variable) selection is considered as a means of solving the curse of
dimensionality, which is an important step in multivariate calibration of near-infrared spectra …
dimensionality, which is an important step in multivariate calibration of near-infrared spectra …