Artificial intelligence can be used to realise new types of protective devices and assistance
systems, so their importance for occupational safety and health is continuously increasing …

Artificial Intelligence (AI) and, in particular, Machine Learning (ML), have emerged to be
utilized in various applications due to their capability to learn how to solve complex …

Deep neural network (DNN) training workloads are increasingly susceptible to hardware
failures in datacenters. For example, Google experienced" mysterious, difficult to identify …

Abstract Nowadays, Convolutional Neural Networks (CNNs) are widely used as prediction
models in different fields, with intensive use in real-time safety-critical systems. Recent …

The accurate prediction of the state of health for retired batteries is the premise to ensure the
safe and efficient operation of echelon utilization batteries. Aiming at the problems of limited …

The great quest for adopting AI-based computation for safety-/mission-critical applications
motivates the interest towards methods for assessing the robustness of the application wrt …

A pressurized water reactor (PWR) is an integrated system of various interdependent
subsystems that show highly nonlinear behavior, and each component is prone to …

In this study, the versatile toxicity profile of prometryn herbicide on Allium cepa was
investigated. In this context, 4 different groups were formed. While the control group was …

Modern neural network complexity has grown dramatically in recent years, leading to the
adoption of hardware-accelerated solutions to cope with the computational power required …

Deep Learning, and in particular, Deep Neural Network (DNN) is nowadays widely used in
many scenarios, including safety-critical applications such as autonomous driving. In this …