Swarm-based algorithms emerged as a powerful family of optimization techniques, inspired
by the collective behavior of social animals. In particle swarm optimization (PSO) the set of …

Big data analytics is the journey to turn data into insights for more informed business and
operational decisions. As the chemical engineering community is collecting more data …

Data mining and analytics have played an important role in knowledge discovery and
decision making/supports in the process industry over the past several decades. As a …

A quimiometria surgiu da necessidade de extrair informações químicas da profusão de
dados resultantes da moderna instrumentação. Neste livro são abordados os principais …

Chromatogram overlays are frequently used to monitor inter‐batch performance of
bioprocess purification steps. However, the objective analysis of chromatograms is difficult …

This book is an introduction to the field of multi-way analysis for chemists and
chemometricians. Its emphasis is on the ideas behind the method and its pratical …

Two different algorithms for time‐alignment as a preprocessing step in linear factor models
are studied. Correlation optimized warping and dynamic time warping are both presented in …

Multivariate monitoring and control schemes based on latent variable methods have been
receiving increasing attention by industrial practitioners in the last 15 years. Several …

1 Introduction Time series are a ubiquitous form of data occurring in virtually every scientific
discipline and business application. There has been much recent work on adapting data …

Among the greatest challenges in soft sensor development for bioprocesses are variable
process lengths, multiple process phases, and erroneous model inputs due to sensor faults …