Abstract Partial Least Squares (PLS) is a wide class of methods for modeling relations
between sets of observed variables by means of latent variables. It comprises of regression …

The emphasis of this review is particularly on multivariate statistical methods currently used
in quantitative structure–activity relationship (QSAR) studies. The mathematical methods for …

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This paper presents a new multi-stage genetic programming (MSGP) strategy for modeling
nonlinear systems. The proposed strategy is based on incorporating the individual effect of …

Voice conversion can be formulated as finding a map** function which transforms the
features of the source speaker to those of the target speaker. Gaussian mixture model …

Traditionally multivariate calibration models have been developed using regression based
techniques including principal component regression and partial least squares and their non …

Projection to latent structures (PLS) model has been widely used in quality‐related process
monitoring, as it can establish a map** relationship between process variables and …

Artificial neural network (ANN) has become an important method to model the nonlinear
relationships between weather conditions, building characteristics and its heat demand. Due …

A real-time anomaly detection solution indicates a continuous stream of operational and
labelled data that must satisfy several resources and latency requirements. Traditional …

Fault detection is essential for proper and safe operation of various chemical processes, and
it has recently become even more important than ever before. In this paper, we extended our …