Drying is a complex process of simultaneous heat, mass, and momentum transport
phenomena with continuous phase changes. Numerical modelling is one of the most …

The objective of this research is to present the state of the art of the safety assurance of
Artificial Intelligence (AI)-based systems and guidelines on future correlated work. For this …

Autonomous vehicles (AVs) have emerged as a promising technology for enhancing road
safety and mobility. However, designing AVs involves various critical aspects, such as …

Autonomous racing has rapidly gained research attention. Traditionally, racing cars rely on
2D LiDAR as their primary visual system. In this work, we explore the integration of an event …

In recent decades, obstacle avoidance has been one of the main challenges in autonomous
vehicle navigation, which has been used in a wide range of different autonomous devices …

With the advancements in utilizing Artificial Intelligence (AI) in embedded safety-critical
systems based on Field-Programmable Gate Arrays (FPGAs), assuring that these systems …

Artificial Neural Networks (ANNs) are being deployed for an increasing number of safety-
critical applications, including autonomous cars and medical diagnosis. However, concerns …

We present a novel fail-operational approach for autonomous vehicles (AVs) based on
machine learning (ML). The fail-operational approach is critical for ensuring the continuous …

With the development of large-scale machine learning, distributed data parallel has become
the de facto standard strategy for model training. However, when training model using …

Artificial Neural Networks (ANNs) are being deployed for an increasing number of safety-
critical applications, including autonomous cars and medical diagnosis. However, con-cerns …