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Titlebook: Applications in Reliability and Statistical Computing; Hoang Pham Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusi

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發(fā)表于 2025-3-21 19:14:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applications in Reliability and Statistical Computing
影響因子2023Hoang Pham
視頻videohttp://file.papertrans.cn/160/159272/159272.mp4
發(fā)行地址Presents applications of reliability and statistical computing methods.Explores the theoretical and practical aspects of the techniques discussed.Brings together research in the fields of reliability,
學(xué)科分類Springer Series in Reliability Engineering
圖書封面Titlebook: Applications in Reliability and Statistical Computing;  Hoang Pham Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusi
影響因子.This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications.?..5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of big data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry.?..Including numerous illustrations and worked examples,?the book?is of interest to researchers, practicing engineers, and postgraduate students in the fields of reliability engineering, statistical computing, and machine learning..
Pindex Book 2023
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Feedback-Based Algorithm for Negotiating Human Preferences and Making Risk Assessment Decisions, in the use of equipment, which have to be periodically subject to thorough controls required by law. This research proposes a novel hybrid decision-making framework aimed at integrating flexible negotiation on human preferences. This goal will be achieved by establishing effective feedback exchange
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Assessing the Severity of COVID-19 in the United States,tes with respect to state-wise distribution. To our knowledge, such metrics have not been proposed by others. The proposed metrics and case study presented in the paper can serve as a template for public health officials to update the disease’s severity and spread across states. Consequently, effect
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Decision Support System for Ranking of Software Reliability Growth Models,oftware systems. During the testing phase of the Software Development Life Cycle (SDLC), SRGMs are particularly effective for estimating fault content, minimizing testing expenses, and maximizing software reliability. There has been a lot of research into selecting the best SRGMs for a certain failu
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