A standard engineering procedure for approximating the solutions of an infinite-dimensional inverse problem of the form Ax = y, where A is a given compact linear operator on a Hilbert space X and y is the given data, is ...

Partial least squares (PLS) regression has been a very popular method for prediction. The method can in a natural way be connected to a statistical model, which now has been extended and further developed in terms of an ...

In the presence of analyte-background interactions and a significant background signal, both second-order multivariate calibration and standard addition are required for successful analyte quantitation achieving the ...

The safety plays the most important role for both pedestrian and driver in autonomous, semi-autonomous or non-autonomous vehicle. To improve pedestrian safety, this paper presents a new type of laser feature extraction ...

Analyte quantitation can be achieved from second-order data in the presence of uncalibrated components using multivariate calibration methods such as partial leastsquares with residual bilinearization. However, the latter ...

This article reports on the first application of a modified version of the bilinear least-squares model to absorbance-pH second-order data recorded for complex samples. The latter are composed of fruit drink powders, where ...

The main motivation of this work is to provide initial estimates for the initialization of the iterative optimization within the multivariate curve resolution - alternating least squares (MCR-ALS) algorithm for the ...

The presence of sulphate constitutes a serious interference in the usual zirconium lake-based spectrophotometric method for the determination of fluoride in water. In this report, full spectral data have been recorded for ...

A new variable selection algorithm is described, based on ant colony optimization (ACO). The algorithm aim is to choose, from a large number of available spectral wavelengths, those relevant to the estimation of analyte ...