Titlebook: Reliability Engineering and Computational Intelligence for Complex Systems; Design, Analysis and Coen van Gulijk,Elena Zaitseva,Miroslav Kv

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Book 2023t of information technology allows for designing more complex systems as well as creating more detailed models of real-world systems which forces traditional reliability engineering approaches based on Boolean algebra, probability theory, and statistics to embrace the world of data science. The work

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Studies in Systems, Decision and Controlhttp://image.papertrans.cn/r/image/826349.jpg

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https://doi.org/10.1007/978-3-031-40997-4Reliability analysis; Artificial Intelligence; Data miing and knowledge discovery; Deep learning; Hardwa

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Coen van Gulijk,Elena Zaitseva,Miroslav KvassayAddresses current issues in reliability analysis of complex systems.Deals with application of artificial intelligence and machine learning in reliability engineering.Treats effective, real-life applic

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978-3-031-40999-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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2198-4182 lity engineering and computational intelligence that have been developed separately but in recent years have found a way to each other. The topics addressed include the latest advances in computing technology t978-3-031-40999-8978-3-031-40997-4Series ISSN 2198-4182 Series E-ISSN 2198-4190

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Experimental Survey of Algorithms for the Calculation of Node Traversal Probabilities in Multi-valuee results to optimize computational methods for reliability engineering since the comparison shows that the former approach is more suitable for the calculation of system state probabilities and the latter approach is more suitable for the calculation of system availability.

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