This work addresses recent developments for solving problems in process systems
engineering based on machine learning algorithms. A general description of most popular …

The inefficient water use, and variable and low productivity in Kenyan public irrigation
schemes is a major concern. It is, therefore, necessary to periodically monitor and evaluate …

Abstract In context of industry 4.0, intelligent manufacturing and maintenance play a
significant role. The fault detection and diagnosis (FDD) of industrial gas turbine (IGT) …

Principal component analysis (PCA) is a linear data analysis tool that aims to reduce the
dimensionality of a dataset, while retaining most of the variation found in it. It transforms the …

In this paper, an electronic tongue/taste sensor array containing different interdigitated
capacitor (IDC) sensing elements to detect different types of tastes, such as sweetness …

The manuscript discusses using Principal Component Analysis (PCA) to distinguish the
sources of radioactive and nitrate contamination in 33 groundwater samples from southern …

Purple‐fleshed sweet potato (PFSP) is a major staple food and feed material in tropical
countries. The pandemic of COVID‐19 that encouraged healthy lifestyles worldwide further …

Herbal-based products are becoming a widespread production trend among manufacturers
for the domestic and international markets. As the production increases to meet the market …

Distance criteria are widely applied in cluster analysis and classification techniques. One of
the well known and most commonly used distance criteria is the Mahalanobis distance …

Objectives To analyse variance in accelerometer-based physical activity (PA) measures in
patients with type 2 diabetes, identify the most distinctive PA measures and classify patients …