[HTML][HTML] 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 …
[HTML][HTML] Analysis of hyperspectral data to develop an approach for document images
Hyperspectral data analysis is being utilized as an effective and compelling tool for image
processing, providing unprecedented levels of information and insights for various …
processing, providing unprecedented levels of information and insights for various …
The nuclearity of the active site for methane to methanol conversion in Cu-mordenite: a quantitative assessment
The direct conversion of methane to methanol (MTM) is a reaction that has the potential to
disrupt a great part of the synthesis gas-derived chemical industry. However, despite many …
disrupt a great part of the synthesis gas-derived chemical industry. However, despite many …
[HTML][HTML] Composition-driven Cu-speciation and reducibility in Cu-CHA zeolite catalysts: a multivariate XAS/FTIR approach to complexity
The small pore Cu-CHA zeolite is attracting increasing attention as a versatile platform to
design novel single-site catalysts for deNOx applications and for the direct conversion of …
design novel single-site catalysts for deNOx applications and for the direct conversion of …
PyFitit: The software for quantitative analysis of XANES spectra using machine-learning algorithms
X-ray absorption near-edge spectroscopy (XANES) is becoming an extremely popular tool
for material science thanks to the development of new synchrotron radiation light sources. It …
for material science thanks to the development of new synchrotron radiation light sources. It …
[图书][B] Knowledge guided machine learning: Accelerating discovery using scientific knowledge and data
Given their tremendous success in commercial applications, machine learning (ML) models
are increasingly being considered as alternatives to science-based models in many …
are increasingly being considered as alternatives to science-based models in many …
[HTML][HTML] Understanding C–H activation in light alkanes over Cu-MOR zeolites by coupling advanced spectroscopy and temperature-programmed reduction …
The direct activation of methane to methanol (MTM) proceeds through a chemical-looping
process over Cu-oxo sites in zeolites. Herein, we extend the overall understanding of …
process over Cu-oxo sites in zeolites. Herein, we extend the overall understanding of …
Quantitative structural determination of active sites from in situ and operando XANES spectra: From standard ab initio simulations to chemometric and machine …
In the last decade the appearance of progressively more sophisticated codes, together with
the increased computational capabilities, has made XANES a spectroscopic technique able …
the increased computational capabilities, has made XANES a spectroscopic technique able …
Neural network-aided classification of hyperspectral vegetation images with a training sample generated using an adaptive vegetation index
N Firsov, V Podlipnov, N Ivliev, P Nikolaev… - Computer …, 2021 - ui.adsabs.harvard.edu
In this paper, we propose an approach to the classification of high-resolution hyperspectral
images in the applied problem of identification of vegetation types. A modified spectral …
images in the applied problem of identification of vegetation types. A modified spectral …
[HTML][HTML] HyU: Hybrid Unmixing for longitudinal in vivo imaging of low signal-to-noise fluorescence
The expansion of fluorescence bioimaging toward more complex systems and geometries
requires analytical tools capable of spanning widely varying timescales and length scales …
requires analytical tools capable of spanning widely varying timescales and length scales …