Many evolutionary artificial intelligence (AI) technologies have been applied to assist with
job scheduling in manufacturing. One of the main approaches is genetic algorithms (GAs) …

In this survey, 105 papers related to interactive clustering were reviewed according to seven
perspectives:(1) on what level is the interaction happening,(2) which interactive operations …

Clustering, the process of grou** together similar items into distinct partitions, is a
common type of unsupervised machine learning that can be useful for summarizing and …

Data clustering is a common unsupervised learning method frequently used in exploratory
data analysis. However, identifying relevant structures in unlabeled, high-dimensional data …

This chapter begins by defining explainable artificial intelligence (XAI). A procedure for
implementing XAI was also established. Then, through literature analysis, the application of …

Recently, many methods based on artificial neural networks (ANNs) or deep neural
networks (DNNs) have been proposed to accurately predict the cycle time of a job. However …

In the past few years, augmented reality (AR) and virtual reality (VR) technologies have
experienced terrific improvements in both accessibility and hardware capabilities …

To make predictions and explore large datasets, healthcare is increasingly applying
advanced algorithms of artificial intelligence. However, to make well‐considered and …

Ordering points to identify the clustering structure (OPTICS) is a density-based clustering
algorithm that allows the exploration of the cluster structure in the dataset by outputting an …

Facetto is a scalable visual analytics application that is used to discover single-cell
phenotypes in high-dimensional multi-channel microscopy images of human tumors and …