Process safety, system reliability, and product quality are becoming increasingly essential in
the modern industry. As a result, prognosis and fault diagnosis of the complex systems have …

Introduction Herbal medicines (HM) and their preparations have been widely used for
hundreds of years all over the world. However, they have not been officially recognised due …

Using formal descriptions, graphical illustrations, practical examples, and R software tools,
Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet …

As herbal medicines have an important position in health care systems worldwide, their
current assessment and quality control are a major bottleneck. Over the past decade, major …

A computationally fast procedure for identifying outliers is presented that is particularly
effective in high dimensions. This algorithm utilizes simple properties of principal …

Presence of outliers in chemical data affects all least squares models, which are extensively
used in chemometrics for data exploration and modeling. Therefore, more and more …

Partial least squares (PLS) regression is a linear regression technique and plays an
important role in dealing with high-dimensional regressors. Unfortunately, PLS is sensitive to …

Broad learning system (BLS) is a novel neural network with effective and efficient learning
ability. BLS has attracted increasing attention from many scholars owing to its excellent …

Air pollutants do much harm to human safety. In particular, the fine particulate matter (PM2.
5), a complex air pollutant which is composed of the particles beneath the aerodynamic …

In practical industrial applications, the key performance indicator (KPI)-related prediction
and diagnosis are quite important for the product quality and economic benefits. To meet …