[HTML][HTML] Monitoring the Soil Copper of Urban Land with Visible and Near-Infrared Spectroscopy: Comparing Spectral, Compositional, and Spatial Similarities
Y Liu, T Shi, Y Chen, Z Lan, K Guo, D Zhuang, C Yang… - Land, 2024 - mdpi.com
Heavy metal contamination in urban land has become a serious environmental problem in
large cities. Visible and near-infrared spectroscopy (vis-NIR) has emerged as a promising …
large cities. Visible and near-infrared spectroscopy (vis-NIR) has emerged as a promising …
Redefining Spectral Data Analysis with Immersive Analytics: Exploring Domain-Shifted Model Spaces for Optimal Model Selection
JMJ Peper, JH Kalivas - Applied Spectroscopy, 2024 - journals.sagepub.com
Modern developments in autonomous chemometric machine learning technology strive to
relinquish the need for human intervention. However, such algorithms developed and used …
relinquish the need for human intervention. However, such algorithms developed and used …
Local Modeling by Adapting Source Calibration Models to Analyte Shifted Target Domain Samples Without Reference Values
JMJ Peper, JH Kalivas - Applied Spectroscopy, 2024 - journals.sagepub.com
Spectral multivariate calibration aims to derive models characterizing mathematical
relationships between sample analyte amounts and corresponding spectral responses …
relationships between sample analyte amounts and corresponding spectral responses …
Pairwise Difference Learning for Classification
Pairwise difference learning (PDL) has recently been introduced as a new meta-learning
technique for regression. Instead of learning a mapping from instances to outcomes in the …
technique for regression. Instead of learning a mapping from instances to outcomes in the …