Coupling effective variable selection with machine learning techniques for better estimating leaf photosynthetic capacity in a tree species (Fagus crenata Blume) from …
G Song, Q Wang - Agricultural and Forest Meteorology, 2023 - Elsevier
Numerous studies have attempted reflectance-based estimations of leaf photosynthetic
capacity parameters using different statistical approaches. Although increasing attention has …
capacity parameters using different statistical approaches. Although increasing attention has …
A Monte Carlo resampling based multiple feature-spaces ensemble (MFE) strategy for consistency-enhanced spectral variable selection
Background Variable selection has gained significant attention as a means to enhance
spectroscopic calibration performance. However, existing methods still have certain …
spectroscopic calibration performance. However, existing methods still have certain …
Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea
The rich flavors and antioxidant properties within Maofeng tea are mainly attributable to
numerous secondary metabolites and thus may be related to quality. Motivated by this …
numerous secondary metabolites and thus may be related to quality. Motivated by this …
Fast burst-sparsity learning-based baseline correction (FBSL-BC) algorithm for signals of analytical instruments
Baseline correction is a critical step for eliminating the interference of baseline drift in
spectroscopic analysis. The recently proposed sparse Bayesian learning (SBL)-based …
spectroscopic analysis. The recently proposed sparse Bayesian learning (SBL)-based …
Relevance vector machine with hybrid kernel-based soft sensor via data augmentation for incomplete output data in sintering process
A ratio of CO and CO 2 (CO/CO 2) is a key indicator of sintering carbon consumption, which
is difficult to be determined in real-time. Therefore, the establishment of its soft sensing …
is difficult to be determined in real-time. Therefore, the establishment of its soft sensing …
Ability of hyperspectral imaging to assess physicochemical and phytochemical quality parameters of raisins
R Khiari, D Ounaissi, V Lançon-Verdier… - Journal of Food …, 2024 - Springer
The possibility to apply the hyperspectral imaging (HSI) technique for the evaluation of some
physicochemical and phytochemical quality parameters of raisins was examined. Italia …
physicochemical and phytochemical quality parameters of raisins was examined. Italia …
A Knowledge-Informed Spectral Variable Interval Identification and Combination Based On the Hierarchical Clustering for Robust and Interpretable Analysis
T Chen, L Xing - papers.ssrn.com
Variable selection in the context of regression problems can be considered as an
optimization process. However, such data-driven methods may ignore the physically …
optimization process. However, such data-driven methods may ignore the physically …
[引用][C] Sare Neuronalen ikasketa analisia eta proposatutako hobekuntzak.
A Teso Fernández de Betoño - 2024