Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …

In the era of sustainable development, the use of cell factories to produce various
compounds by fermentation has attracted extensive attention; however, industrial …

Background: The lengthy and expensive process of develo** a novel medicine often takes
many years and entails a significant financial burden due to its poor success rate …

Intelligent operating monitoring of pipelines helps to detect anomalies in time to ensure
pipeline safe, reducing potential risk. However, the operating conditions of the multi-product …

Motivation The aim of quantitative structure–activity prediction (QSAR) studies is to identify
novel drug-like molecules that can be suggested as lead compounds by means of two …

The most common type of liver cancer is hepatocellular carcinoma (HCC), which begins in
hepatocytes. The HCC, like most types of cancer, does not show symptoms in the early …

The geometrical quality assessment for additive manufacturing (AM) is a great challenge
because of the complexity of AM parts and low repeatability of AM processes. Existing defect …

Computational intelligence (CI) predictive models based on k-Nearest Neighbor (KNN)
algorithms were developed for Cd ions removal from contaminated soil using …

Initially part of the field of artificial intelligence, machine learning (ML) has become a
booming research area since branching out into its own field in the 1990s. After three …

Background As human transportation, recreation, and production methods change, the
impact of motion sickness (MS) on humans is becoming more prominent. The susceptibility …