The quest to open black box artificial intelligence (AI) systems evolved into an emerging
phenomenon of global interest for academia, business, and society and brought about the …

In recent decades, the increased use of sensor technologies, as well as the increase in
digitalisation of aircraft sustainment and operations, have enabled capabilities to detect …

Although artificial intelligence can contribute to decision-making processes, many industry
players lag behind pioneering companies in utilizing artificial intelligence-driven …

The rapid rise of many e-commerce platforms for individual consumers has generated a
large amount of text-based data, and thus researchers have begun to experiment with text …

As digital technology continues to evolve rapidly and get integrated into various aspects of
our cities and societies, the alignment of technological advancements with societal values …

This paper contextualizes explainable artificial intelligence (AI) for enhanced decision-
making and serves as an editorial for the corresponding special issue. AI is defined as the …

The issue of harnessing machine learning (ML) algorithms for the prediction of adverse
medical events is important considering the prevalence of vast repositories of patient-level …

Increasing internal state security requires an understanding of the factors that influence the
commission of repetitive crimes (recidivism) since the crime is not caused by public danger …

Accurate predictions of building energy consumption are essential for reducing the energy
performance gap. While data-driven energy quantification methods based on machine …

Abstract The empowerment of Artificial Intelligence (AI) in manufacturing has drawn
considerable attention, yet a holistic understanding of AI's effects on manufacturers' …