04516nam a22005895i 4500 978-981-97-3087-2 DE-He213 20251030112247.0 cr nn 008mamaa 240531s2024 si | s |||| 0|eng d 9789819730872 978-981-97-3087-2 10.1007/978-981-97-3087-2 doi TH9701-9745 TNKS bicssc SCI055000 bisacsh TNKS thema Advances in Risk and Reliability Modelling and Assessment [electronic resource] : Proceedings of 5th International Conference on Reliability Safety and Hazard (ICRESH 2024) / edited by Prabhakar V. Varde, Gopika Vinod, N. S. Joshi. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XVIII, 895 p. 407 illus., 339 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Mechanical Engineering, 2195-4364 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. This 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. Security systems. 66821 Computers. 65793 Mathematical models. 66910 Engineering mathematics. 64145 Engineering Data processing. Security Science and Technology. 66822 Hardware Performance and Reliability. 71397 Mathematical Modeling and Industrial Mathematics. 66912 Mathematical and Computational Engineering Applications. Varde, Prabhakar V. editor. edt http://id.loc.gov/vocabulary/relators/edt 69351 Vinod, Gopika. editor. edt http://id.loc.gov/vocabulary/relators/edt 77977 Joshi, N. S. editor. edt http://id.loc.gov/vocabulary/relators/edt 77978 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819730865 Printed edition: 9789819730889 Lecture Notes in Mechanical Engineering, 2195-4364 https://doi.org/10.1007/978-981-97-3087-2 ZDB-2-PHA ZDB-2-SXP 60362 60362