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 Wiewioraifferences between measured and predicted wind data indicated random error. The model performance can be further improved by data assimilation, proper choice of parameterization schemes, using high resolution input data as well as increasing model resolution.

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Assessment of Wind Forecasts from a Numerical Weather Prediction Model for Indian NPP Sitesifferences between measured and predicted wind data indicated random error. The model performance can be further improved by data assimilation, proper choice of parameterization schemes, using high resolution input data as well as increasing model resolution.

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Conference proceedings 20244. It covers the latest advances in artificial intelligence and machine learning in development of risk-conscious culture. Various topics covered in this volume are reliability prediction, precursor event analysis, fuzzy reliability, structural reliability, passive system reliability, digital system

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Role of?AI in?Anti-drone Systems: A?Reviewd 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

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Transient Identification in Nuclear Power Plants by PCA Based Neural Networksortant 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