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024 7 _a10.1007/978-981-97-3087-2
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072 7 _aTNKS
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072 7 _aSCI055000
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245 1 0 _aAdvances in Risk and Reliability Modelling and Assessment
_h[electronic resource] :
_bProceedings of 5th International Conference on Reliability Safety and Hazard (ICRESH 2024) /
_cedited by Prabhakar V. Varde, Gopika Vinod, N. S. Joshi.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVIII, 895 p. 407 illus., 339 illus. in color.
_bonline resource.
336 _atext
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337 _acomputer
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_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Mechanical Engineering,
_x2195-4364
505 0 _aA 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.
520 _aThis book presents the proceedings of the 5th International Conference on Reliability Safety & 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.
650 0 _aSecurity systems.
_966821
650 0 _aComputers.
_965793
650 0 _aMathematical models.
_966910
650 0 _aEngineering mathematics.
_964145
650 0 _aEngineering
_xData processing.
650 1 4 _aSecurity Science and Technology.
_966822
650 2 4 _aHardware Performance and Reliability.
_971397
650 2 4 _aMathematical Modeling and Industrial Mathematics.
_966912
650 2 4 _aMathematical and Computational Engineering Applications.
700 1 _aVarde, Prabhakar V.
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700 1 _aVinod, Gopika.
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700 1 _aJoshi, N. S.
_eeditor.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Mechanical Engineering,
_x2195-4364
856 4 0 _uhttps://doi.org/10.1007/978-981-97-3087-2
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