1–18 von 18 Ergebnissen
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    Estimation of Markovian transition probabilities for pavement deterioration forecasting

    Kobayashi, Kiyoshi / Do, Myungsik / Han, Daeseok | Springer Verlag | 2010
    Schlagwörter: Markov transition probability

    An integrated system for bridge management using probabilistic and mechanistic deterioration models: Application to bridge decks

    Morcous, G. / Lounis, Z. / Cho, Yong | Springer Verlag | 2010
    Schlagwörter: Markov chain

    Infrastructure asset management system for bridge projects in South Korea

    Hong, Taehoon / Chae, Myung Jin / Kim, Duyon et al. | Springer Verlag | 2013
    Schlagwörter: markov chain

    Estimation of its sensor operational states by analyzing measurements with errors using a Hidden Markov Model

    Randeniya, Duminda / Kim, Hoe Kyoung | Springer Verlag | 2013
    Schlagwörter: hidden Markov model

    Application of Bayesian estimation method with Markov hazard model to improve deterioration forecasts for infrastructure asset management

    Han, Daeseok / Kaito, Kiyoyuki / Kobayashi, Kiyoshi | Springer Verlag | 2014
    Schlagwörter: Markov chain , Bayesian Markov hazard model

    Performance evaluation of advanced pavement materials by Bayesian Markov Mixture Hazard model

    Han, Daeseok / Kaito, Kiyoyuki / Kobayashi, Kiyoshi et al. | Springer Verlag | 2015
    Schlagwörter: markov mixture hazard model

    Optimal overlay thickness to ensure design life of pavements based on empirical deterioration characteristics

    Han, Daeseok | Springer Verlag | 2016
    Schlagwörter: Markov chain , Markov Chain Monte Carlo (MCMC)

    Prediction of suspended sediment load using ANN GA conjunction model with Markov chain approach at flood conditions

    Adib, Arash / Mahmoodi, Amina | Springer Verlag | 2016
    Schlagwörter: markov chain method

    Management scheme of road pavements considering heterogeneous multiple life cycles changed by repeated maintenance work

    Han, Daeseok / Kaito, Kiyoyuki / Kobayashi, Kiyoshi et al. | Springer Verlag | 2016
    Schlagwörter: markov mixed hazard model

    Probabilistic assessment of meteorological drought over South Korea under RCP scenarios using a hidden Markov model

    Yu, Jisoo / Park, Yei Jun / Kwon, Hyun-Han et al. | Springer Verlag | 2017
    Schlagwörter: hidden Markov model

    Estimation of Extreme Value Vehicle Load Based on the Extended Burr XII Distribution

    Liu, Yang / Li, Deru / Li, Yingqiu et al. | Springer Verlag | 2017
    Schlagwörter: Markov chain Monte Carlo simulation

    Estimating the State of Charge of Plug-In Electric Vehicle Fleet Applying Monte Carlo Markov Chain

    Rahmani-Andebili, Mehdi | Springer Verlag | 2019
    Schlagwörter: Monte Carlo Markov Chain (MCMC)

    A Markov Decision Process Workflow for Automating Interior Design

    Karan, Ebrahim / Asgari, Sadegh / Rashidi, Abbas | Springer Verlag | 2021
    Schlagwörter: Markov decision process

    Quantification of Value of Information associated with Optimal Observation Actions within Partially Observable Markov Decision Processes

    Zhou, Ziyi / Lai, Li / Dong, You | Springer Verlag | 2022
    Schlagwörter: Partially observable markov decision process (POMDP)

    Comparison of Monte Carlo Schemes in the Modeling of Extreme Flood in Tropical Rain Forest Basins

    Ekwueme, Benjamin Nnamdi / Ibeje, Andy Obinna | Springer Verlag | 2023
    Schlagwörter: Markov

    Automatic Monitoring of Water Pollution from Sentinal-2 Satellite Imagery A Case Study of Mediterranean Coast, Egypt

    Farhan, Magda / Salah, Mahmoud / Basha, Ali M. et al. | Springer Verlag | 2023
    Schlagwörter: Markov chain

    Probabilistic Liquefaction Assessment Based on an In-situ State Parameter Considering Soil Spatial Variability and Various Uncertainties

    Yang, Huajian / Liu, Zhikui / Xie, Yongxiong | Springer Verlag | 2023
    Schlagwörter: Markov Chain Monte Carlo

    Railway Bridge Management System Based on Visual Inspections with Semi-Markov Continuous Time Process

    Furtado, Fagner / Ribeiro, Diogo | Springer Verlag | 2023
    Schlagwörter: Semi-Markov continuous time process