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Titlebook: Advances in Risk-Informed Technologies; Keynote Volume (ICRE Prabhakar V. Varde,Manoj Kumar,Mayank Agarwal Book 2024 Society for Reliabilit

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41#
發(fā)表于 2025-3-28 15:23:06 | 只看該作者
42#
發(fā)表于 2025-3-28 21:02:26 | 只看該作者
Prabhakar V. Varde,Manoj Kumar,Mayank Agarwalpresents latest advancements in reliability and risk.Is a compilation of keynote talks delivered during 5th International Conference on Reliability, Safety and Hazard.Analyzes current industry trends
43#
發(fā)表于 2025-3-28 23:57:23 | 只看該作者
44#
發(fā)表于 2025-3-29 04:08:50 | 只看該作者
Advances in Risk-Informed Technologies978-981-99-9122-8Series ISSN 2731-7811 Series E-ISSN 2731-782X
45#
發(fā)表于 2025-3-29 09:03:29 | 只看該作者
Computational Modeling of Signaling Networkstal twin is at the heart of this transformation. Stemming from the convergence of advanced data analytics, Internet of Things (IoT) technologies, and virtual modelling and domain knowledge, digital twins were conceptualized to create virtual replicas of physical assets and systems.
46#
發(fā)表于 2025-3-29 15:02:55 | 只看該作者
Tends in Engineering Asset Management: The Impact of Transformative Technologies on Risk and Reliabective operation of engineering assets. These transformative technologies (sometime also referred to as digital technologies) such as industrial Internet of Things, AI, Machine Learning, and 5G communication, offer highly effective solutions, empowering engineering managers to make informed decision
47#
發(fā)表于 2025-3-29 18:12:26 | 只看該作者
Standards for Probabilistic Risk/Safety Assessments of Nuclear Power Plants and High-Level Nuclear and operation of hazardous facilities such as nuclear power plants. The first part of this paper provides an overview of the standards for PRA/PSA of nuclear power plants (NPP) that have recently been adopted or are currently under development by the American Nuclear Society (ANS) and the American S
48#
發(fā)表于 2025-3-29 20:20:44 | 只看該作者
49#
發(fā)表于 2025-3-30 03:15:18 | 只看該作者
Harnessing AI for Reliability and Maintenance,f today’s advanced societies. Previously, traditional methods relied on static reliability predictions based on scarce data and fixed maintenance plans. These methods suffer limitations in complex and dynamic environments. The digital transformation has now made it possible to evolve towards dynamic
50#
發(fā)表于 2025-3-30 05:25:16 | 只看該作者
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