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Robustness and Convergence of a Stochastic Deterioration Prediction Model for Tunnel Lighting Facilities: A Japanese Case Study Based on Systematized Expert Knowledge and Large-Scale Monte Carlo Simulation.

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Title: Robustness and Convergence of a Stochastic Deterioration Prediction Model for Tunnel Lighting Facilities: A Japanese Case Study Based on Systematized Expert Knowledge and Large-Scale Monte Carlo Simulation.
Authors: Kawahata, Yasuko1, Maeda, Noriaki2, n.maeda.aa@e-nexco.co.jp, Hatadani, Shunsuke3
Source: Applied Sciences (2076-3417); Feb2026, Vol. 16 Issue 4, p1994, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192035596
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PubType: Academic Journal
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  Data: Robustness and Convergence of a Stochastic Deterioration Prediction Model for Tunnel Lighting Facilities: A Japanese Case Study Based on Systematized Expert Knowledge and Large-Scale Monte Carlo Simulation.
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        Value: 10.3390/app16041994
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 1994
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      – TitleFull: Robustness and Convergence of a Stochastic Deterioration Prediction Model for Tunnel Lighting Facilities: A Japanese Case Study Based on Systematized Expert Knowledge and Large-Scale Monte Carlo Simulation.
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            NameFull: Kawahata, Yasuko
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            NameFull: Maeda, Noriaki
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              Text: Feb2026
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              Y: 2026
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