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9 a.m. - 5:30 p.m.
Phone: (843) 588-2001
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
West Ashley Library
9 a.m. – 7 p.m.
Phone: (843) 766-6635
Wando Mount Pleasant Library
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Phone: (843) 805-6888
Village Library
9 a.m. - 6 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. – 8 p.m.
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Otranto Road Library
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Phone: (843) 572-4094
Mt. Pleasant Library
9 a.m. – 8 p.m.
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McClellanville Library
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John's Island Library
9 a.m. – 8 p.m.
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Hurd/St. Andrews Library
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Integrated modeling of the sports and reliability data: Implications of the probabilistic model and deep learning approaches.
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- Author(s): Shi, Xiaolong; Hu, Jie; Gao, Ruibo
- Source:
Alexandria Engineering Journal; May2024, Vol. 94, p274-286, 13p- Subject Terms:
- Source:
- Additional Information
- Abstract: In this paper, we consider the evolution of a new probability distribution called the exponential flexible Weibull distribution. The proposed exponential flexible Weibull distribution is obtained by combining the flexible Weibull extension with the exponential T- X strategy. For the exponential flexible Weibull, the estimators of the model parameters are derived mathematically. The appraisal of these parameters is accomplished through a simulation study. The applicability and virtuoso of the exponential flexible Weibull distribution are exemplified via two data sets. Furthermore, we implement the state-of-the-art deep learning algorithms, specifically Artificial Neural Networks and Extreme Gradient Boosting, which are widely employed in real-world applications. A comprehensive comparative analysis is conducted to assess the relative performance of these methodologies. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Alexandria Engineering Journal is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Abstract:
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