Over the last decades, considerable advancements in artificial intelligence (AI) approaches
have eventuated in their extensive applications in all scientific scopes such as materials …

This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …

The terms 'semantics' and 'ontology'are increasingly appearing together with 'explanation',
not only in the scientific literature, but also in everyday social interactions, in particular …

Statistical Techniques for Transportation Engineering is written with a systematic approach
in mind and covers a full range of data analysis topics, from the introductory level (basic …

The terms' semantics' and'ontology'are increasingly appearing together with'explanation',
not only in the scientific literature, but also in organizational communication. However, all of …

Although the maturity of technologies based on Artificial Intelligence (AI) is rather advanced
nowadays, their adoption, deployment and application are not as wide as it could be …

The traditional method for determining the Marshall stability (MS) and Marshall flow (MF) of
asphalt pavements is laborious, time consuming, and costly. This study aims to predict these …

In recent years, knowledge graphs (KGs) have been considered pyramids of interconnected
data enriched with semantics for complex decision-making. The potential of KGs and the …

Abstract Machine Learning (ML) models often operate as black-boxes, lacking transparency
in their decision-making processes. Explainable Artificial Intelligence (XAI) aims to address …

Abstract The concept of Digital Twin (DT) has gained popularity as a digital representation of
physical entities that interact with their real-world counterparts in (near) real-time through …