… decisions as well as promote safe driving behavior. Increasing … applications can have
damaging effects on the surrounding … Both the dashboard display and the vehicle safety alerts will …

… a safety case for Reinforcement Learning systems, where the selection of ‘reward’ and ‘cost’
mechanisms would have a critical effect … Should we monitor the system and ‘fail safe’ if there …

… ), monitors the incoming data packets and prevents suspicious data from intruding into the
system. Many studies leveraged machine learning … Effect of imbalanced datasets on security of …

… safety [38,39]. To this end, in recent years, sound recognition and identification technology
has been showing promising results to monitor … processing and machine learning algorithms …

… deep neural-network structure and a deep reinforcement algorithm are presented for diagnosis
learning… feasibility of deep reinforcement learning on diagnosing the safety functions of a …

… Thus a monitoring strategy is created which considers how the nature of potential changes
in operational data will impact the assurance case to undermine safety … we could monitor the …

… To address the challenges, we propose a safety monitoring … , we empirically investigate
different Deep Learning (DL)-based … , monitoring the impact of a learned component on learning-…

… monitoring ML in safety-critical environments. Index Terms—Dependability, machine learning,
… Moreover, applying linear projections to nonlinear activation functions tends to impact …

… more accurate than a random monitor. Additionally, most of … works on ML threats, safety
monitoring, and current benchmark … performance, but this time, for the impact of the SM decision. …

… awareness of construction personnel, which had an impact … The recent deep learning,
especially the rapid development … construction safety management system, which can monitor the …