Data mining, Support vector machine, Artificial neural network, Artificial intelligence and Project management are his primary areas of study. Big data and Anomaly detection is closely connected to Autoregressive integrated moving average in his research, which is encompassed under the umbrella topic of Data mining. The various areas that Jui-Sheng Chou examines in his Support vector machine study include Ensemble forecasting, Firefly algorithm and Metaheuristic.
His studies deal with areas such as Predictive modelling and Linear regression as well as Artificial neural network. His work on Case-based reasoning as part of his general Artificial intelligence study is frequently connected to Budget allocation, thereby bridging the divide between different branches of science. His Project management study integrates concerns from other disciplines, such as Infrastructure asset management, Cost estimate and Operations research.
His primary areas of study are Artificial intelligence, Support vector machine, Project management, Data mining and Machine learning. He specializes in Artificial intelligence, namely Ensemble forecasting. His study in Support vector machine is interdisciplinary in nature, drawing from both Artificial neural network, Mean absolute percentage error, Metaheuristic, Hyperparameter and Least squares.
His research in Artificial neural network intersects with topics in Decision tree and Linear regression. His Metaheuristic course of study focuses on Firefly algorithm and Chaotic and Global optimization. His Project management research incorporates themes from Knowledge management, Cost estimate, Process and Operations research.
The scientist’s investigation covers issues in Artificial intelligence, Metaheuristic, Support vector machine, Machine learning and Dredging. Jui-Sheng Chou integrates Artificial intelligence with Energy policy in his study. Jui-Sheng Chou combines subjects such as Optimization problem, Swarm behaviour and Benchmark with his study of Metaheuristic.
The study incorporates disciplines such as Convergence, Data mining and Word error rate in addition to Benchmark. His Support vector machine research includes themes of Empirical modelling, Shear strength, Hyperparameter, Test data and Least squares. Jui-Sheng Chou works on Machine learning which deals in particular with Ensemble forecasting.
Jui-Sheng Chou focuses on Support vector machine, Time series, Artificial intelligence, Benchmark and Swarm behaviour. In his research on the topic of Support vector machine, Firefly algorithm, Mean absolute percentage error, Beam, Structural engineering and Shear strength is strongly related with Hyperparameter. His Time series research integrates issues from Exchange rate, Liberian dollar and Metaheuristic optimization.
His work in the fields of Meta-optimization, Robustness and IEEE Congress on Evolutionary Computation overlaps with other areas such as Job shop scheduling and Energy policy. His Benchmark study incorporates themes from Optimization problem, Metaheuristic and Engineering design process. His Metaheuristic research is multidisciplinary, incorporating perspectives in Supervised learning, Ensemble forecasting, Machine learning and Energy management.
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Modeling heating and cooling loads by artificial intelligence for energy-efficient building design
Jui-Sheng Chou;Dac-Khuong Bui.
Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques
Jui-Sheng Chou;Chien-Kuo Chiu;Mahmoud Farfoura;Ismail Al-Taharwa.
Toward an understanding of construction professionals' acceptance of mobile computing devices in South Korea: An extension of the technology acceptance model
Hyojoo Son;Yoora Park;Changwan Kim;Jui-Sheng Chou.
Machine learning in concrete strength simulations: Multi-nation data analytics
Jui Sheng Chou;Chih Fong Tsai;Anh Duc Pham;Anh Duc Pham;Yu Hsin Lu.
Cross-country comparisons of key drivers, critical success factors and risk allocation for public-private partnership projects
Jui-Sheng Chou;Dinar Pramudawardhani.
International Journal of Project Management (2015)
Enhanced artificial intelligence for ensemble approach to predicting high performance concrete compressive strength
Jui-Sheng Chou;Anh-Duc Pham.
A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete
Dac-Khuong Bui;Tuan Nguyen;Jui-Sheng Chou;H. Nguyen-Xuan.
A structural equation analysis of the QSL relationship with passenger riding experience on high speed rail: An empirical study of Taiwan and Korea
Jui-Sheng Chou;Changwan Kim.
Expert Systems With Applications (2009)
Failure analysis and risk management of a collapsed large wind turbine tower
Jui-Sheng Chou;Wan-Ting Tu.
Engineering Failure Analysis (2011)
Web-based CBR system applied to early cost budgeting for pavement maintenance project
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