[EN] Calibration transfer between near-infrared (NIR) spectrometers is a subtle issue in chemometrics and process industry. In fact, as even very similar instruments may generate strongly different spectral responses, ...
Rufai, Ayorinde; Crawshaw, John(Editorial Universitat Politècnica de València, 2018-09-07)
[EN] We carried out drying studies on a 2.5D micromodel based on a thin section of a carbonate rock to investigate the impact of wettability on the capillary disconnect, the moment when liquid films de-pin from the external ...
[EN] This article explores the potential of Kernel-Partial Least Squares (K-PLS) regression for the analysis of data proceeding from mixture designs of experiments. Gower's idea of pseudo-sample trajectories is exploited ...
Sales Figueiredo, Rafaella; Vitale, Raffaele; Pimentel, Maria Fernanda; de Lima, Suzana Moreira; Stragevitch, Luiz; Ferrer, Alberto(Elsevier, 2016)
[EN] This work describes an application of Multivariate Statistical Process Control to monitor soybean oil transesterification. For the development of multivariate control charts, near infrared spectra were acquired in-line ...
[EN] A novel method and software system for rational handling of time series of multi-channel measurements is presented. This quantitative learning tool, the On-The-Fly Processing (OTFP), develops reduced-rank bilinear ...
[EN] Nowadays, the detection, localization, and quantification of different kinds of features
in an RGB image (segmentation) is extremely helpful for, e.g., process monitoring
or customer product acceptance. In this ...
Vitale, Raffaele; Westerhuis, Johan A.; Naes, Tormod; Smilde, Age K.; De Noord, Onno E.; Ferrer, Alberto(John Wiley & Sons, 2017)
[EN] Selecting the correct number of factors in principal component analysis (PCA) is
a critical step to achieve a reasonable datamodelling,where the optimal strategy
strictly depends on the objective PCA is applied for. ...