Recent advances of chemometric calibration methods in modern spectroscopy: Algorithms, strategy, and related issues
HP Wang, P Chen, JW Dai, D Liu, JY Li, YP Xu… - TrAC Trends in …, 2022 - Elsevier
In recent years, modern spectral analysis techniques, such as ultraviolet–visible (UV-vis)
spectroscopy, mid-infrared (MIR) spectroscopy, near-infrared (NIR) spectroscopy, Raman …
spectroscopy, mid-infrared (MIR) spectroscopy, near-infrared (NIR) spectroscopy, Raman …
Data fusion methodologies for food and beverage authentication and quality assessment–A review
The ever increasing interest of consumers for safety, authenticity and quality of food
commodities has driven the attention towards the analytical techniques used for analyzing …
commodities has driven the attention towards the analytical techniques used for analyzing …
[PDF][PDF] Supervised multiblock analysis in R with the ade4 package
S Bougeard, S Dray - Journal of statistical software, 2018 - hal.science
This paper presents two novel statistical analyses of multiblock data using the R language. It
is designed for data organized in (K+ 1) blocks (ie, tables) consisting of a block of response …
is designed for data organized in (K+ 1) blocks (ie, tables) consisting of a block of response …
[HTML][HTML] Recent trends in multi-block data analysis in chemometrics for multi-source data integration
In recent years, multi-modal measurements of process and product properties have become
widely popular. Sometimes classical chemometric methods such as principal component …
widely popular. Sometimes classical chemometric methods such as principal component …
Chemometric strategies for spectroscopy-based food authentication
Featured Application This review will offer a global overview of the chemometric approaches
most commonly used in the field of spectroscopy-based food analysis and authentication …
most commonly used in the field of spectroscopy-based food analysis and authentication …
[图书][B] Multiblock data fusion in statistics and machine learning: Applications in the natural and life sciences
Multiblock Data Fusion in Statistics and Machine Learning Explore the advantages and
shortcomings of various forms of multiblock analysis, and the relationships between them …
shortcomings of various forms of multiblock analysis, and the relationships between them …
Understanding data fusion within the framework of coupled matrix and tensor factorizations
Recent technological advances enable us to collect huge amounts of data from multiple
sources. Jointly analyzing such multi-relational data from different sources, ie, data fusion …
sources. Jointly analyzing such multi-relational data from different sources, ie, data fusion …
Achieving robustness across different ages and cultivars for an NIRS-PLSR model of fresh cassava root starch and dry matter content
K Maraphum, K Saengprachatanarug… - … and Electronics in …, 2022 - Elsevier
This study used a portable near-infrared (NIR) spectrometer at wavelengths of 570–1031 nm
to evaluate starch content (SC) and dry matter content (DMC) in fresh cassava tubers. An …
to evaluate starch content (SC) and dry matter content (DMC) in fresh cassava tubers. An …
Common and distinct components in data fusion
In many areas of science, multiple sets of data are collected pertaining to the same system.
Examples are food products that are characterized by different sets of variables …
Examples are food products that are characterized by different sets of variables …
Data fusion strategies in food analysis
With the growing availability of high throughput methodologies for food characterization and
analysis, more and more data are being collected on food products that can be used for the …
analysis, more and more data are being collected on food products that can be used for the …