With the influx of technological advancements and the increased simplicity in
communication, especially through emails, the upsurge in the volume of unsolicited bulk …

Soft sensors for regression applications (SSR) are inferential models that use online
available sensors (eg temperature, pressure, flow rate, etc.) to predict quality variables …

Temporal data contain a wealth of valuable information, playing an essential role in various
machine-learning tasks. Slow feature analysis (SFA), one of the most classic temporal …

Redundant and irrelevant features in data have caused a long-term problem in network
traffic classification. These features not only slow down the process of classification but also …

This paper proposes a novel approach for driving chemometric analyses from spectroscopic
data and based on a convolutional neural network (CNN) architecture. For such purpose …

Synchronization, a basic nonlinear phenomenon, is widely observed in diverse complex
systems studied in physical, biological and other natural sciences, as well as in social …

Hyperspectral imaging (HSI) is a technology integrating optical sensing technologies of
imaging, spectroscopy, and chemometrics. The sensor of HSI can obtain both spatial and …

More than 1000 peach varieties with significant differences in qualities are cultivated in
China. Distinguishing peach varieties is not only needed by peach dealers, but also …

Missing data is a common drawback in many real-life pattern classification scenarios. One of
the most popular solutions is missing data imputation by the K nearest neighbours (KNN) …

Abstract Information on Nitrogen oxide (NO x) concentrations play a significant role in
aftertreatment systems. In this work, a method to estimate NO x emissions by means of …