Results 191 to 200 of about 25,590 (247)
Non-destructive monitoring of cyenopyrafen residues on strawberry via 280 nm UV-excited fluorescence of co-formulated organic solvents. [PDF]
Huang Z +10 more
europepmc +1 more source
Authenticity Identification and Quantitative Analysis of <i>Dendrobium officinale</i> Based on Near-Infrared Spectroscopy Combined with Chemometrics. [PDF]
Fan ZL +6 more
europepmc +1 more source
Quantitative Analysis Model for the Powder Content of <i>Zanthoxylum bungeanum</i> Based on IncepSpect-CBAM. [PDF]
Wang Y +5 more
europepmc +1 more source
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A deep belief network with PLSR for nonlinear system modeling
Neural Networks, 2018Nonlinear system modeling plays an important role in practical engineering, and deep learning-based deep belief network (DBN) is now popular in nonlinear system modeling and identification because of the strong learning ability. However, the existing weights optimization for DBN is based on gradient, which always leads to a local optimum and a poor ...
Qiao, Junfei +3 more
openaire +3 more sources
A hyperspectral GA-PLSR model for prediction of pine wilt disease
Multimedia Tools and Applications, 2019Pine wilt disease caused by a forest-invasive alien species, the pine wood nematode (Bursaphelenchus xylophilus) is considered as one of the most destructive pest problems. In recent years, spectroscopic technologies have shown great potentials for the assessment of forest damage due to their nondestructive, noninvasive, cost-effective, and rapidly ...
Zhang, Sulan +3 more
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Spectrochimica Acta Part A - Molecular and Biomolecular Spectroscopy, 2023
Soluble solids content (SSC) is one of the most important internal quality attributes of fruit and could be predicted using near-infrared (NIR) spectra and optical properties. Partial least squares regression (PLSR) is a conventional regression method in
Shuochong Zeng +5 more
semanticscholar +1 more source
Soluble solids content (SSC) is one of the most important internal quality attributes of fruit and could be predicted using near-infrared (NIR) spectra and optical properties. Partial least squares regression (PLSR) is a conventional regression method in
Shuochong Zeng +5 more
semanticscholar +1 more source
Food Chemistry, 2022
Cheddar cheese was desirable by consumers worldwide due to its characteristic taste and aroma, but limited information was available about taste contributors.
Qin Xiang +4 more
semanticscholar +1 more source
Cheddar cheese was desirable by consumers worldwide due to its characteristic taste and aroma, but limited information was available about taste contributors.
Qin Xiang +4 more
semanticscholar +1 more source
Sensors and Actuators B: Chemical, 2021
A novel quantification technique is presented for electronic nose (E-nose), which is based on a double-step strategy combined with hierarchical classifier (HC) and partial least squares regression (PLSR).
Hongli Ma +9 more
semanticscholar +1 more source
A novel quantification technique is presented for electronic nose (E-nose), which is based on a double-step strategy combined with hierarchical classifier (HC) and partial least squares regression (PLSR).
Hongli Ma +9 more
semanticscholar +1 more source

