A review of artificial intelligence methods combined with Raman spectroscopy to identify the composition of substances
In general, most of the substances in nature exist in mixtures, and the noninvasive
identification of mixture composition with high speed and accuracy remains a difficult task …
identification of mixture composition with high speed and accuracy remains a difficult task …
Correction for Extrinsic Background in Raman Hyperspectral Images
Raman hyperspectral microscopy is a valuable tool in biological and biomedical imaging.
Because Raman scattering is often weak in comparison to other phenomena, prevalent …
Because Raman scattering is often weak in comparison to other phenomena, prevalent …
Sparse reconstruction using block sparse Bayesian learning with fast marginalized likelihood maximization for near-infrared spectroscopy
T Pan, C Wu, Q Chen - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
The absorption peak contains a great amount of important chemical information that is
critical for the qualitative/quantitative analysis of organic compounds in high-dimensional …
critical for the qualitative/quantitative analysis of organic compounds in high-dimensional …
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 …
Pattern-coupled baseline correction method for near-infrared spectroscopy multivariate modeling
Y Li, X Wang, H Yu, W Du - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In near-infrared (NIR) modeling, the baseline drift tends to affect the qualitative and
quantitative performance of the multivariate calibration model. The baseline correction …
quantitative performance of the multivariate calibration model. The baseline correction …
3D pavement data decomposition and texture level evaluation based on step extraction and pavement-transformer
Pavement texture evaluation is important for driving both skid resistance and pavement
maintenance. Limited by the requirements of automation, efficiency and data coverage …
maintenance. Limited by the requirements of automation, efficiency and data coverage …
Two-stage iteratively reweighted smoothing splines for baseline correction
This paper reviewed several iteratively reweighted baseline correction methods. We note in
the literature that the estimated baselines are susceptible to random noises in a low signal …
the literature that the estimated baselines are susceptible to random noises in a low signal …
[HTML][HTML] Probabilistic signal estimation for vibrational spectroscopy with a flexible non-stationary Gaussian process baseline model
DF Hansen, TS Alstrøm, MN Schmidt - Chemometrics and Intelligent …, 2023 - Elsevier
Vibrational spectroscopy techniques enable accurate chemical detection and quantification,
but the extraction of spectral peak parameters is frequently hampered by an underlying …
but the extraction of spectral peak parameters is frequently hampered by an underlying …
Deep learning-based Raman spectroscopy qualitative analysis algorithm: A convolutional neural network and transformer approach
Raman spectroscopy is a general and non-destructive detection technique that can obtain
detailed information of the chemical structure of materials. In the past, when using …
detailed information of the chemical structure of materials. In the past, when using …
A Novel Adaptive Robust NIR Modeling Method Based on Sparse Bayesian Learning
Y Li, W Du, X Wang, H Yu - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
The near-infrared (NIR) method has shown great potential in estimating key parameters in
various industrial processes. Selecting characteristic wavelengths from high-dimensional …
various industrial processes. Selecting characteristic wavelengths from high-dimensional …