Titlebook: Advances in Risk and Reliability Modelling and Assessment; Proceedings of 5th I Prabhakar V. Varde,Gopika Vinod,N. S. Joshi Conference proc

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Gülay Canbalo?lu,Jan Treur,Anna Wiewioraategy, a characteristic that is considered undesirable. The advent?of machine learning presents opportunities for the exploration of innovative methodologies that have the potential to substantially reduce computational time in SMO. This paper proposes a novel Reinforcement Learning (RL) based metho

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Gülay Canbalo?lu,Jan Treur,Anna Wiewiorad disaster management. However, their widespread usage has also introduced new security challenges, especially to critical installations like nuclear facilities. The potential threats posed by drones, such as unauthorized aerial surveillance, hazardous payload dropping or even collision, raise signi

占卜者

Studies in Systems, Decision and Controlortant for the operator to quickly identify and initiate corrective actions in order to mitigate the consequences, if any, and also to maintain the safety of the plant. As simultaneous generation of many alarms and annunciations in the control room may alert the operator on the onset of the transien

允許

https://doi.org/10.1007/978-3-031-28735-0nd performance. It results in the loss of hydraulic pressure which leads to diminished power output. The present manuscript discusses the leakage detection of a hydraulic cylinder utilising pressure signals. For this, pressure signals of a 2-stage hydraulic cylinder for no leakage and leakage condit

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