Chemometrics and Intelligent Laboratory Systems

Papers
(The TQCC of Chemometrics and Intelligent Laboratory Systems is 8. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
Editorial Board168
Joint state and process inputs estimation for state-space models with Student’s t-distribution92
An unsupervised gene selection method based on multivariate normalized mutual information of genes85
Improved Kernel Entropy Composition Analysis method for transgenic cotton seeds recognition based on Terahertz Spectroscopy84
Enhancing quantitative 1H NMR model generalizability on honey from different years through partial least squares subspace and optimal transport based unsupervised domain adaptation75
RKPCA-based approach for fault detection in large scale systems using variogram method67
Selecting relevant wavelength intervals for PLS calibration based on absorbance interquartile ranges65
Applicability domain of a calibration model based on neural networks and infrared spectroscopy63
Estimating the boundaries of the feasible profiles in the bilinear decomposition of multi-component data matrices57
Editorial Board57
Smartphone-based colorimetric method for decentralized wastewater treatment monitoring by inexperienced users56
Identification of Monteverdia ilicifolia by fourier-transform mid-infrared spectroscopy associated with chemometrics and machine learning54
Solving the missing value problem in PCA by Orthogonalized-Alternating Least Squares (O-ALS)51
Development of a new approach for rapid identification and classification of uranium ore concentrate powders using textural and spectroscopy signatures48
Improved salp swarm optimization algorithm based on a robust search strategy and a novel local search algorithm for feature selection problems43
Complexation of cress seed mucilage and β-lactoglobulin; optimization through response surface methodology and adaptive neuro-fuzzy inference system (ANFIS)40
Estimation of feeding composition content based on novel variable sliding window method and layered data reconciliation with multiple modes37
An evaluation strategy to select and discard sampling preprocessing methods for imbalanced datasets: A focus on classification models37
Adaptive Artificial Neural Network in near infrared spectroscopy for standard-free calibration transfer36
Characterization of uncertainties and model generalizability for convolutional neural network predictions of uranium ore concentrate morphology36
Capturing connectivity information from process flow diagrams by sequential-orthogonalized PLS to improve soft-sensor performance34
Spectral pre-processing and non-linear calibration with convolutional kernel partial least-squares. Teaching new tricks to an old dog34
Identifying the antioxidant activity of tripeptides based on sequence information and machine learning31
Probabilistic machine learning based soft-sensors for product quality prediction in batch processes31
Dynamic Non-Gaussian hybrid serial modeling for industrial process monitoring30
BGA-YOLOX-s: Real-time fine-grained detection of silkworm cocoon defects with a ghost convolution module and a joint multiscale fusion attention mechanism30
Heterogeneous ensemble learning applied to UV-VIS identification of multi-class pesticides by high-performance liquid chromatography with diode array detector (HPLC/DAD)29
An analytical approach based on excitation-emission fluorescence spectroscopy and chemometrics for the screening of prostate cancer through urine analysis: A proof–of–concept study27
MFRAG: Multi-Fitness RankAggreg Genetic Algorithm for biomarker selection from microarray data27
Extracting information from sensory analysis with the multi-way PARAFAC tool – Examples and possibilities26
Extension and significance testing of Variable Importance in Projection (VIP) indices in Partial Least Squares regression and Principal Components Analysis25
Quantitative detection of azodicarbonamide in wheat flour by near-infrared spectroscopy based on two-step feature selection25
Multi-objective feature selection algorithm using Beluga Whale Optimization24
Prediction model for multiblock data with or without intermediate blocks. Estimation by PLS Path Modeling23
Identification and quantification of ciprofloxacin, enrofloxacin and difloxacin residues in milk using excitation-emission fluorescence and second-order standard addition methods23
KF-PLS: Optimizing Kernel Partial Least-Squares (K-PLS) with Kernel Flows23
A piecewise mirror extension local mean decomposition method for denoising of near-infrared spectra with uneven noise23
User-independent nonlinear modeling using adjusted spline-interpolated knots (UNMASK) and indirect hard modeling for deriving compositions from spectra with background signals23
BO-densenet: A bilinear one-dimensional densenet network based on multi-scale feature fusion for wood NIR classification23
Field-deployable real-time AI System for chemical warfare agent detection using YOLOv8 and colorimetric sensors22
Optimal sample plans for multiresponse and multisubject experiments22
Prediction of Antiviral peptides using transform evolutionary & SHAP analysis based descriptors by incorporation with ensemble learning strategy22
UV spectroscopy as a quantitative monitoring tool in a dairy side-stream fractionation process22
How the experimental design associated with objectivized sensory analysis can be used to predict odor quality of gaseous mixtures?21
Multistep virtual screening based identification of homeodomain-interacting protein kinase 2 inhibitors: An opportunity for treating Chronic Kidney Disease20
Experimental-based groundwater salinization from the carbonate aquifer of eastern Saudi Arabia: Insight into machine learning coupled with meta-heuristic algorithms20
Developing a novel and intelligent chemometrics-assisted molecularly imprinted electrochemical sensor: Application to the improvement of the efficiency of the treatment of Parkinson's disease20
A new approach using the genetic algorithm for parameter estimation in multiple linear regression with long-tailed symmetric distributed error terms: An application to the Covid-19 data20
Discriminating the salivary profile of athletes using ATR-FTIR spectroscopy and chemometrics20
Transductive transfer broad learning for cross-domain information exploration and multigrade soft sensor application20
Mechanism- and data-driven based dynamic hybrid modeling for multi-condition processes20
Resolution enhancement of angular plasmonic biochemical sensors via optimizing centroid algorithm20
Why matrix-decomposition of overlapped light spectroscopic features leads to overfitting in certain cases ?20
Lifting the limitations of Gaussian mixture regression through coupling with principal component analysis and deep autoencoding20
Multi-resolution transmission image registration based on “Terrace Compression Method” and normalized mutual information19
Exploring the scores: Procrustes analysis for comprehensive exploration of multivariate data19
Investigation of long-term stability of a transmission Raman calibration model using orthogonal projection methods19
Sequential multiblock partial least squares discriminant analysis for assessing prostate cancer aggressiveness with multiparametric magnetic resonance imaging19
Integration of near-infrared spectroscopy and aquaphotomics for discrimination of cultured cancerous cells using phenol red19
Domain invariant covariate selection (Di-CovSel) for selecting generalized features across domains19
Chemometrics web app part 1: Data handling19
Using drug-drug and protein-protein similarities as feature vector for drug-target binding prediction18
A bidirectional dictionary LASSO regression method for online water quality detection in wastewater treatment plants18
On the factor ambiguity of MCR problems for blockwise incomplete data sets18
Just-in-time process soft sensor with spatiotemporal graph decoupled learning18
Editorial Board18
Editorial Board17
Editorial Board17
Online nonlinear data reconciliation to enhance nonlinear dynamic process monitoring using conditional dynamic variational autoencoder networks with particle filters16
Automatic neural network hyperparameter optimization for extrapolation: Lessons learned from visible and near-infrared spectroscopy of mango fruit16
Application of linear and nonlinear pattern recognition techniques for discrimination of fluoroquinolones using modified AgNPs-based colorimetric sensor array16
An effective MW-PCP-based intermittent fault detection method via sparse matrix factorization and noise reduction16
An implementation of a hybrid method based on machine learning to identify biomarkers in the Covid-19 diagnosis using DNA sequences16
A new hybrid feature selection based on Improved Equilibrium Optimization16
An unsupervised domain adaptation regression method in kernel partial least squares subspace embedded with joint statistical and manifold alignment for Fourier-transform infrared spectroscopy in agri-16
Method for Automatic Generation of Indirect Hard Models using crossvalidation (MAGIC) for the spectral analysis of mixture spectra16
Algae content prediction based on transfer learning and mean impact value16
A novel approach to combine spatial and spectral information from hyperspectral images16
Editorial Board16
Urban river ammonia nitrogen prediction model based on improved whale optimization support vector regression mixed synchronous compression wavelet transform16
Comprehensive evaluation and systematic comparison of Gaussian process (GP) modelling applications in peptide quantitative structure-activity relationship15
A novel multisensory quality index of a food product: An analysis of a sausage properties15
Exploring applications of electron ionization mass spectrometry in dense embedding space15
Constrained principal component analysis with stochastically ordered scores for high-dimensional mass spectrometry data15
Gradient Boosted Tree model: A fast track tool for predicting the Atmospheric Pressure Chemical Ionization-Mass Spectrometry signal of antipsychotics based on molecular features and experimental setti15
Statistical estimation of mean Lorentzian line width in spectra by Gaussian processes15
An accurate prediction of drug–drug interactions and side effects by using integrated convolutional and BiLSTM networks15
DBP-DeepCNN: Prediction of DNA-binding proteins using wavelet-based denoising and deep learning15
Improved swarm intelligence algorithms with time-varying modified Sigmoid transfer function for Amphetamine-type stimulants drug classification15
Design of Poly(lactic-co-glycolic acid) nanoparticles in drug delivery by artificial intelligence methods to find the conditions of nanoparticles synthesis14
An attention-based deep convolutional neural network for classification and grading of interferents in serum specimens14
Considerations for missing data, outliers and transformations in permutation testing for ANOVA with multivariate responses14
Investigating oral biofluid markers as a tool for the chemometric discrimination of different physical exercise intensities utilizing ATR-FTIR spectroscopy14
Ganoderma boninense classification based on near-infrared spectral data using machine learning techniques14
Optimum design for ill-conditioned models: K–optimality and stable parameterizations14
Multi source deep learning method for drug-protein interaction prediction using k-mers and chaos game representation13
Application of iterative distance correlation and PLS for wavelength interval selection in near infrared spectroscopy13
Editorial Board13
The application of positive matrix factorization with diagnostics to BIG DATA13
Does the fish rot from the head? Hyperspectral imaging and machine learning for the evaluation of fish freshness13
LTFM: Long-tail few-shot module with loose coupling strategy for mineral spectral identification13
Development of eco-efficient limestone calcined clay cement (LC3) mortars by a multi-step experimental design13
A combined classification modeling strategy for detection and identification of extra virgin olive oil adulteration using Raman spectroscopy13
A spectrum denoising method based on low-rank recovery dictionary learning with its application to chemical oxygen demand detection13
Machine learning-based q-RASAR approach for the in silico identification of novel multi-target inhibitors against Alzheimer's disease13
PLS multi-step regressions in data paths13
An intelligent feature selection method using binary teaching-learning based optimization algorithm and ANN13
Assessing the resilience of optimal solutions in multiobjective problems13
VAE-SIMCA — Data-driven method for building one class classifiers with variational autoencoders13
Editorial Board13
Editorial Board13
PLS class modelling using error correction output code matrices, entropy and NIR spectroscopy to detect deficiencies in pastry doughs13
Appropriate use of chemometrics for feasibility study for developing low-cost filter-based multi-parameter detection spectroscopic device for meat proximate analysis13
A sensitive efficient multiple predictable feature extraction and fusion method for complicated industrial fault detection13
The development of nano-QSPR models for viscosity of nanofluids using the index of ideality of correlation and the correlation intensity index12
Design the arbitrary order calculus operator by a simulated hyperbolic function for analytical applications12
Full-spectrum LIBS quantitative analysis based on heterogeneous ensemble learning model12
On-the-fly spectral unmixing based on Kalman filtering12
Gaussian Processes for radiation dose prediction in nuclear power plant reactors12
Supervised and penalized baseline correction12
Automatic non-destructive estimation of polyphenol oxidase and peroxidase enzyme activity levels in three bell pepper varieties by Vis/NIR spectroscopy imaging data based on machine learning methods12
Multivariate curve resolution of incomplete and partly trilinear multiblock datasets12
A new type of robust designs for chemometrics and computer experiments12
Chemometrics driven portable Vis-SWNIR spectrophotometer for non-destructive quality evaluation of raw tomatoes12
A novel soft sensor approach for industrial quality prediction based TCN with spatial and temporal attention12
A new data processing strategy combined with a convolutional neural network for rapid and accurate prediction of geographical classifications of natural products12
Virtual biopsies for breast cancer using MCR-ALS perfusion-based biomarkers and double cross-validation PLS-DA12
Weighted LASSO variable selection for the analysis of FTIR spectra applied to the prediction of engine oil degradation12
Selection of reference samples for updating multivariate calibration models used in the analysis of pig faeces12
Fused LassoNet: Sequential feature selection for spectral data with neural networks11
Smart chemometrics spectrophotometry for rapid simultaneous quantitative determination of paracetamol, diphenhydramine, and phenylephrine in commercial tablet compared to high-performance liquid chrom11
An intelligent biosensing procedure based on three-way calibrations and generation of second-order hydrodynamic square wave voltammetric data for detection of DNA damage and simultaneous biosensing of11
HEnsem_DTIs: A heterogeneous ensemble learning model for drug-target interactions prediction11
Federated auto-encoder and XGBoost schemes for multi-omics cancer detection in distributed fog computing paradigm11
Mixture Gaussian process model with Gaussian mixture distribution for big data11
Machine learning regression algorithms for generating chemical element maps from X-ray fluorescence data of paintings11
A geometric deep learning model for display and prediction of potential drug-virus interactions against SARS-CoV-211
State-of-the-art review on applications of various machine learning models in biodiesel production11
Distortion prediction model considering process types in film manufacturing process and identification of critical process variables11
plug im ! software for comprehensive two-dimensional gas chromatography with vacuum ultraviolet detection – A tutorial11
A note on neighborhood first Zagreb energy and its significance as a molecular descriptor11
Designing bulk metallic glasses materials with higher reduced glass transition temperature via machine learning11
Novel space projection interpolation based virtual sample generation for solving the small data problem in developing soft sensor10
In silico prediction of fragrance retention grades for monomer flavors using QSPR models10
A novel non-integer order Savitzky–Golay derivative function of visible and near-infrared spectra for improving prediction accuracy of phosphorus in pig manure10
A tutorial on automatic hyperparameter tuning of deep spectral modelling for regression and classification tasks10
Modeling in the observable or latent space? A comparison of dynamic latent variable based monitoring methods for sensor fault detection10
New structure-based models for the prediction of flash point and autoignition temperatures of alkyl esters10
Multivariate calibration strategies for the simultaneous quantification of aluminium and vanadium in Ti6Al4V alloys10
Efficacy of Transfer Learning-based ResNet models in Chest X-ray image classification for detecting COVID-19 Pneumonia10
New breast cancer biomarkers from diffusion magnetic resonance imaging based on the Diffusion Tensor using multivariate curve resolution (MCR) models10
A combined volume correction and standard addition step to simplify environmental chemical analysis10
ATR-FTIR spectroscopy for the routine quality control of exosome isolations10
GAINET: Enhancing drug–drug interaction predictions through graph neural networks and attention mechanisms10
Variable selection and inference strategies for multiple compositional regression10
Editorial Board10
Hybrid factors latent Gaussian process modeling with wasserstein distance for soft sensing of extruder processes9
Simulation and quantitative analysis of Raman spectra in chemical processes with autoencoders9
Insights into the influence of matrix fragments on FT-IR-based meat and bone meal species-specific analysis9
MacroPARAFAC for handling rowwise and cellwise outliers in incomplete multiway data9
Interpretation of high dimensional definitive screening designs assisted by bootstrapped partial least squares regression9
Stacking ensemble learning algorithm based rapid inverse modelling of copper grade using imaging spectral data9
A novel bidirectional DiPLS based LSTM algorithm and its application in industrial process time series prediction9
Likelihood ratio-based probabilistic classifier9
Logical analysis of sample pooling for qualitative analytical testing9
Pollution parameters evaluation of wastewater collected at different treatment stages from wastewater treatment plant based on E-nose and E-tongue systems combined with chemometric techniques9
Editorial Board9
An alternative point of view on PLS9
Toward effective SVM sample reduction based on fuzzy membership functions9
MaskDNA-PGD: An innovative deep learning model for detecting DNA methylation by integrating mask sequences and adversarial PGD training as a data augmentation method9
AQbD approach for the development of an analytical procedure for the separation of cephalosporin drugs and their degradation products9
A multi-level fine-tuned deep learning based approach for binary classification of diabetic retinopathy9
Editorial Board9
Looking for a hyper polyhedron within the multidimensional space of Design Space from the results of Designs of Experiments9
A rapid automatic spectroscopic identification method of environmental microplastics9
Pheomelanin subunit non-destructive quantification by Raman spectroscopy and multivariate curve resolution-alternating least squares (MCR-ALS)9
Incipient fault detection for dynamic processes with canonical variate residual statistics analysis9
Data acquisition and data analysis in colorimetric sensor arrays8
Multiscale transfer learning improves soil calcium carbonate equivalent measurement in data-limited regions using Vis-NIR spectroscopy8
A scalable, data analytics workflow for image-based morphological profiles8
Multi-task learning for energy consumption forecasting of methyl chlorosilanes fractional distillation process8
Editorial Board8
Quantitative analysis of soil cadmium content based on the fusion of XRF and Vis-NIR data8
Applications of artificial intelligence and machine learning in combination with surface-enhanced Raman spectroscopy (SERS)8
A generation of synthetic samples and artificial outliers via principal component analysis and evaluation of predictive capability in binary classification models8
Developing semi-supervised variational autoencoder-generative adversarial network models to enhance quality prediction performance8
Optimization of pre-processing and data fusion strategies for multi-block spectroscopic characterization of cellular growth phases in the chlorophyte, Tetraselmis suecica8
Identifying 124 new anti-HIV drug candidates in a 37 billion-compound database: An integrated approach of machine learning (QSAR), molecular docking, and molecular dynamics simulation8
A flame image soft sensor for oxygen content prediction based on denoising diffusion probabilistic model8
A regularised logistic regression model with structured features for classification of geographical origin in olive oils8
Classifying COVID-19 based on amino acids encoding with machine learning algorithms8
An improved statistical approach for conformational analysis from 13C NMR chemical shifts8
Addressing adulteration challenges of dried oregano leaves by NIR HyperSpectral Imaging8
Adaptive boost approach for possible leads of triple-negative breast cancer8
A novel machine-learning approach to unlock technical lignin classification by NIR spectroscopy - bench to handheld8
Evaluation of the potential of near infrared hyperspectral imaging for monitoring the invasive brown marmorated stink bug8
Digital design of new products: accounting for output correlation via a novel algebraic formulation of the latent-variable model inversion problem8
Prediction of viral-host interactions of COVID-19 by computational methods8
Effective prediction of drug – target interaction on HIV using deep graph neural networks8
Multivariate calibration on heterogeneous samples8
Deep Tutti Frutti: Exploring CNN architectures for dry matter prediction in fruit from multi-fruit near-infrared spectra8
A novel second-order calibration algorithm for processing fluorescence data with scattering: Three-direction resection ATLD8
Model-level Weight Update Domain Adaptive Dynamic CNN Soft Sensor for Free Calcium Ion Concentration in Cement Clinker8
Quantification of miRNAs by mass spectrometry based on DNase I-assisted amplification with the aid of a chemometric model8
Combination of machine learning and COSMO-RS thermodynamic model in predicting solubility parameters of coformers in production of cocrystals for enhanced drug solubility8
Comparing data driven soft independent class analogy (DD-SIMCA) and one class partial least square (OC-PLS) to authenticate sacha inchi (Plukenetia volubilis L.) oil using portable NIR spectrometer8
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A novel multivariate curve resolution based strategy for multi-omic integration of toxicological data8
Temperature modeling of wave rotor refrigeration process based on elastic net variable selection and deep belief network8
The effect of alternating fragmentor voltages of LC-MS in full scan mode on data quality: A comparative study8
Temporal graph convolutional network soft sensor for molecular weight distribution prediction8
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