J
Jui-Sheng Chou
Researcher at National Taiwan University of Science and Technology
Publications - 167
Citations - 6954
Jui-Sheng Chou is an academic researcher from National Taiwan University of Science and Technology. The author has contributed to research in topics: Project management & Metaheuristic. The author has an hindex of 41, co-authored 145 publications receiving 4842 citations. Previous affiliations of Jui-Sheng Chou include University of Texas at Austin & National Taiwan University.
Papers
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Modeling heating and cooling loads by artificial intelligence for energy-efficient building design
Jui-Sheng Chou,Dac-Khuong Bui +1 more
TL;DR: In this paper, the energy performance of buildings was estimated using various data mining techniques, including support vector regression (SVR), artificial neural network (ANN), classification and regression tree, chi-squared automatic interaction detector, general linear regression, and ensemble inference model.
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Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques
TL;DR: Analytical results suggested that MART-based modeling is effective for predicting the compressive strength of varying HPC age, and cross-validation of unbiased estimates of the prediction models for performance comparison purposes indicated that multiple additive regression tree (MART) was superior in prediction accuracy, training time, and aversion to overfitting.
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Machine learning in concrete strength simulations: Multi-nation data analytics
TL;DR: This study validates the applicability of ML, voting, bagging, and stacking techniques for simple and efficient simulations of concrete compressive strength.
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A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean
Jui-Sheng Chou,Dinh-Nhat Truong +1 more
TL;DR: The JS algorithm was used to solve structural optimization problems, including 25- bar tower design and 582-bar tower design problems, where JS not only performed best but also required the fewest evaluations of objective functions.
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Cross-country comparisons of key drivers, critical success factors and risk allocation for public-private partnership projects
TL;DR: In this paper, the authors compared the categories of key drivers, critical success factors (CSFs), and preferred risk allocation in PPPs established in Taiwan, Singapore, China, the United Kingdom, and Indonesia.