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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书目名称Advances in Risk and Reliability Modelling and Assessment影响因子(影响力)




书目名称Advances in Risk and Reliability Modelling and Assessment影响因子(影响力)学科排名




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书目名称Advances in Risk and Reliability Modelling and Assessment网络公开度学科排名




书目名称Advances in Risk and Reliability Modelling and Assessment被引频次




书目名称Advances in Risk and Reliability Modelling and Assessment被引频次学科排名




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书目名称Advances in Risk and Reliability Modelling and Assessment读者反馈学科排名

heirloom

Gülay Canbaloğlu,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

剥削

Gülay Canbaloğlu,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

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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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