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Understanding the Dynamics of Information Flow During Disaster Response Using Absorbing Markov Chains
This paper aims to derive a quantitative model to evaluate the impact of...
06/11/2020 ∙ by Yitong Li, et al. ∙
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Automated Abstraction of Operation Processes from Unstructured Text for Simulation Modeling
Abstraction of operation processes is a fundamental step for simulation ...
04/25/2020 ∙ by Yitong Li, et al. ∙
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Enhanced Input Modeling for Construction Simulation using Bayesian Deep Neural Networks
This paper aims to propose a novel deep learning-integrated framework fo...
06/14/2019 ∙ by Yitong Li, et al. ∙
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A Bayesian-Based Approach for Public Sentiment Modeling
Public sentiment is a direct public-centric indicator for the success of...
04/05/2019 ∙ by Yudi Chen, et al. ∙
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Simulation-Based Analytics for Fabrication Quality-Associated Decision Support
Automated, data-driven quality management systems, which facilitate the ...
03/18/2019 ∙ by Wenying Ji, et al. ∙
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Enhanced Welding Operator Quality Performance Measurement: Work Experience-Integrated Bayesian Prior Determination
Measurement of operator quality performance has been challenging in the ...
01/03/2019 ∙ by Yitong Li, et al. ∙
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Complexity Analysis Approach for Prefabricated Construction Products Using Uncertain Data Clustering
This paper proposes an uncertain data clustering approach to quantitativ...
10/29/2017 ∙ by Wenying Ji, et al. ∙
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