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  <titleInfo>
    <title>Advances in Risk and Reliability Modelling and Assessment</title>
    <subTitle>Proceedings of 5th International Conference on Reliability Safety and Hazard (ICRESH 2024)</subTitle>
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    <namePart>Varde, Prabhakar V.</namePart>
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    <namePart>Vinod, Gopika.</namePart>
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    <namePart>Joshi, N. S.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>XVIII, 895 p. 407 illus., 339 illus. in color. online resource.</extent>
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  <abstract>This book presents the proceedings of the 5th International Conference on Reliability Safety &amp; Hazard-2024, held in Mumbai during February 21–24, 2024. 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 reliability, risk-informed approach to decision making, dynamic PSA, uncertainty and sensitivity modeling, among others. The book is a valuable resource for researchers and professionals working in both academia and industry in the areas of complex systems, safety-critical systems, and risk-based engineering.</abstract>
  <tableOfContents>A Support Vector Machine Model for Detection of Transients in Nuclear Reactor -- Reinforcement Learning for Mission Reliability Based Selective Maintenance Optimization -- Role of Ai in Anti-drone Systems: A Review -- Transient Identification in Nuclear Power Plants by Pca Based Neural Networks -- Internal Leakage Diagnosis of a Hydraulic Cylinder Using C-lstm Neural Network -- Assessment of Wind Forecasts from a Numerical Weather Prediction Model for Indian Npp Sites -- Development of Kalman Filter Based Source Term Estimation Model (Stem) -- Evaluation of Internal Fire Hazards in Indian Nuclear Power Plants -- A Novel Implementation of Tableau Software for Visualisation of Seismic Data from Himalayan Region -- Time-frequency Analysis of Strong Ground Motions from the 1989 Loma Prieta Earthquake -- Prediction of Effective Duration of Vertical Ground Motions Based on Machine Learning Algorithms -- Rul Estimation of Igbt Modules under Power Cycling Stress -- Reliability and Cost-effectiveness Trade-offs in Hierarchical Industrial Networks -- Investigation of Primary Radiation Damage in Nanocrystalline Tantalum Using Machine-learning Interatomic Potential: An Atomistic Simulation Study -- Performance Evaluation of Silicon Carbide (Sic) Power Mosfets under Gamma Radiation.</tableOfContents>
  <note type="statement of responsibility">edited by Prabhakar V. Varde, Gopika Vinod, N. S. Joshi.</note>
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    <topic>Security systems</topic>
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    <topic>Engineering</topic>
    <topic>Data processing</topic>
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    <topic>Security Science and Technology</topic>
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    <topic>Hardware Performance and Reliability</topic>
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  <subject>
    <topic>Mathematical Modeling and Industrial Mathematics</topic>
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    <topic>Mathematical and Computational Engineering Applications</topic>
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  <identifier type="isbn">9789819730872</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-97-3087-2</identifier>
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