Artificial intelligence powered by deep neural networks has reached a level of complexity
where it can be difficult or impossible to express how a model makes its decisions. This …

Since machine learning (ML) systems became widely available, organizations have
considered the prospect of using ML models to increase productivity (Aghion et al. 2017) …

Self-driving vehicles (SDVs)–above the SAE automation level 4–are designed to operate
without human intervention [1]. Due to the expected advantages attributed to SDVs, such as …

With the rapid development of artificial intelligence (AI), autonomous vehicles (AVs)
represent a major revolutionary trend leading to a long-term transition in mobility. Despite …

Bone scintigraphy (BS) is one of the most frequently utilized diagnostic techniques in
detecting cancer bone metastasis, and it occupies an enormous workload for nuclear …

The technological advancements of Connected and Automated Vehicles (CAVs) are
outpacing the current regulatory regime, potentially resulting in a disconnect between …

Upon the introduction of autonomous vehicles into daily traffic, it becomes increasingly likely
that autonomous vehicles become involved in accident scenarios in which decisions have to …

This research involves a controversial topic in the public sphere: should automated vehicles
(AVs) be programmed with selfish algorithms to protect their passengers at all costs or …

Autonomous vehicles are artificial intelligence-based mobility devices. They are not a new
technological development as the concept has been a work-in-progress for centuries …

Human reaction plays a key role in improved protection upon emergent traffic situations with
motor vehicles. Understanding the underlying behaviour mechanisms can combine active …