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Truong, Dinh-Nhat / Chou, Jui-Sheng (2024): Metaheuristic algorithm inspired by enterprise development for global optimization and structural engineering problems with frequency constraints. In: Engineering Structures, v. 318 (November 2024).
https://doi.org/10.1016/j.engstruct.2024.118679
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Nguyen, Ngoc-Mai / Chou, Jui-Sheng (2024): Forecasting Mechanical Properties of Steel Structures Through Dynamic Metaheuristic Optimization for Adaptive Machine Learning. In: Journal of Civil Engineering and Management, v. 30, n. 5 (27 May 2024).
https://doi.org/10.3846/jcem.2024.21356
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Ni, Hsiao-Ping / Chong, Wai Oswald / Chou, Jui-Sheng (2024): Optimizing HVAC systems for semiconductor fabrication: A data-intensive framework for energy efficiency and sustainability. In: Journal of Building Engineering, v. 89 (July 2024).
https://doi.org/10.1016/j.jobe.2024.109397
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Truong, Dinh-Nhat / Chou, Jui-Sheng (2023): Integrating Enhanced Optimization with Finite Element Analysis for Designing Steel Structure Weight Under Multiple Constraints. In: Journal of Civil Engineering and Management, v. 29, n. 8 (24 October 2023).
https://doi.org/10.3846/jcem.2023.20399
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Chou, Jui-Sheng / Chang, Yu-Hsiu / Molla, Asmare / Chong, Wai Oswald (2023): Determining critical success factors for residential reconstruction in the urban city from the perspective of developers. In: Sustainable Cities and Society, v. 99 (December 2023).
https://doi.org/10.1016/j.scs.2023.104977
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Truong, Dinh-Nhat / Chou, Jui-Sheng (2022): Fuzzy adaptive jellyfish search-optimized stacking machine learning for engineering planning and design. In: Automation in Construction, v. 143 (November 2022).
https://doi.org/10.1016/j.autcon.2022.104579
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Liu, Chi-Yun / Chou, Jui-Sheng (2023): Bayesian-optimized deep learning model to segment deterioration patterns underneath bridge decks photographed by unmanned aerial vehicle. In: Automation in Construction, v. 146 (February 2023).
https://doi.org/10.1016/j.autcon.2022.104666
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Chou, Jui-Sheng / Tu, Wan-Ting (2011): Failure analysis and risk management of a collapsed large wind turbine tower. In: Engineering Failure Analysis, v. 18, n. 1 (January 2011).
https://doi.org/10.1016/j.engfailanal.2010.09.008
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Chou, Jui-Sheng / Truong, Dinh-Nhat (2022): Multiobjective forensic-based investigation algorithm for solving structural design problems. In: Automation in Construction, v. 134 (February 2022).
https://doi.org/10.1016/j.autcon.2021.104084
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Chou, Jui-Sheng / Bui, Dac-Khuong (2014): Modeling heating and cooling loads by artificial intelligence for energy-efficient building design. In: Energy and Buildings, v. 82 (October 2014).
https://doi.org/10.1016/j.enbuild.2014.07.036
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Bui, Dac-Khuong / Nguyen, Tuan / Chou, Jui-Sheng / Nguyen-Xuan, H. / Ngo, Tuan Duc (2018): A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete. In: Construction and Building Materials, v. 180 (August 2018).
https://doi.org/10.1016/j.conbuildmat.2018.05.201
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Chou, Jui-Sheng / Leatemia, Gabriele Theodora (2016): Critical Process and Factors for Ex-Post Evaluation of Public-Private Partnership Infrastructure Projects in Indonesia. In: Journal of Management in Engineering (ASCE), v. 32, n. 5 (September 2016).
https://doi.org/10.1061/(asce)me.1943-5479.0000436
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Chou, Jui-Sheng / Ou, Yu-Chen / Lin, Kuan-Yu (2019): Collapse mechanism and risk management of wind turbine tower in strong wind. In: Journal of Wind Engineering and Industrial Aerodynamics, v. 193 (October 2019).
https://doi.org/10.1016/j.jweia.2019.103962
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Tran, Duc-Hoc / Chou, Jui-Sheng / Luong, Duc-Long (2019): Multi-objective Symbiotic Organisms Optimization for Making Time-cost Tradeoffs in Repetitive Project Scheduling Problem. In: Journal of Civil Engineering and Management, v. 25, n. 4 (July 2019).
https://doi.org/10.3846/jcem.2019.9681
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Chou, Jui-Sheng / Chiu, Chien-Kuo / Farfoura, Mahmoud / Al-Taharwa, Ismail (2011): Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques. In: Journal of Computing in Civil Engineering, v. 25, n. 3 (May 2011).
https://doi.org/10.1061/(asce)cp.1943-5487.0000088
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Chou, Jui-Sheng / Yang, Kuo-Hsin / Lin, Jie-Ying (2016): Peak Shear Strength of Discrete Fiber-Reinforced Soils Computed by Machine Learning and Metaensemble Methods. In: Journal of Computing in Civil Engineering, v. 30, n. 6 (November 2016).
https://doi.org/10.1061/(asce)cp.1943-5487.0000595
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Chou, Jui-Sheng / Chong, Wai K. / Bui, Dac-Khuong (2016): Nature-Inspired Metaheuristic Regression System: Programming and Implementation for Civil Engineering Applications. In: Journal of Computing in Civil Engineering, v. 30, n. 5 (September 2016).
https://doi.org/10.1061/(asce)cp.1943-5487.0000561
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Chou, Jui-Sheng / Pham, Anh-Duc (2013): Enhanced artificial intelligence for ensemble approach to predicting high performance concrete compressive strength. In: Construction and Building Materials, v. 49 (December 2013).
https://doi.org/10.1016/j.conbuildmat.2013.08.078
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Chou, Jui-Sheng / Tsai, Chih-Fong / Pham, Anh-Duc / Lu, Yu-Hsin (2014): Machine learning in concrete strength simulations: Multi-nation data analytics. In: Construction and Building Materials, v. 73 (December 2014).
https://doi.org/10.1016/j.conbuildmat.2014.09.054
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Chou, Jui-Sheng / Cheng, Min-Yuan / Hsieh, Yo-Min / Yang, I-Tung / Hsu, Hsin-Ting (2019): Optimal path planning in real time for dynamic building fire rescue operations using wireless sensors and visual guidance. In: Automation in Construction, v. 99 (March 2019).
https://doi.org/10.1016/j.autcon.2018.11.020
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Chou, Jui-Sheng / Kim, Changwan / Tsai, Pei-Yu / Yeh, Chun-Pin / Son, Hyojoo (2016): Longitudinal assessment of high-speed rail service delivery, satisfaction and operations: A study of Taiwan and Korea systems. In: KSCE Journal of Civil Engineering, v. 21, n. 6 (December 2016).
https://doi.org/10.1007/s12205-017-1140-6
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Koranda, Collin / Chong, Wai Kiong / Kim, Changwan / Chou, Jui-Sheng / Kim, Changmin (2012): An investigation of the applicability of sustainability and lean concepts to small construction projects. In: KSCE Journal of Civil Engineering, v. 16, n. 5 (June 2012).
https://doi.org/10.1007/s12205-012-1460-5
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Chou, Jui-Sheng / Tsai, Chih-Fong (2012): Concrete compressive strength analysis using a combined classification and regression technique. In: Automation in Construction, v. 24 (July 2012).
https://doi.org/10.1016/j.autcon.2012.02.001
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Chou, Jui-Sheng / Thedja, Julian Pratama Putra (2016): Metaheuristic optimization within machine learning-based classification system for early warnings related to geotechnical problems. In: Automation in Construction, v. 68 (August 2016).
https://doi.org/10.1016/j.autcon.2016.03.015
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Chou, Jui-Sheng / Pham, Anh-Duc / Wang, Hsin (2013): Bidding strategy to support decision-making by integrating fuzzy AHP and regression-based simulation. In: Automation in Construction, v. 35 (November 2013).
https://doi.org/10.1016/j.autcon.2013.06.007
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Cheng, Min-Yuan / Chou, Jui-Sheng / Roy, Andreas F. V. / Wu, Yu-Wei (2012): High-performance Concrete Compressive Strength Prediction using Time-Weighted Evolutionary Fuzzy Support Vector Machines Inference Model. In: Automation in Construction, v. 28 (December 2012).
https://doi.org/10.1016/j.autcon.2012.07.004
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Chou, Jui-Sheng / O'Connor, James T. (2007): Internet-based preliminary highway construction cost estimating database. In: Automation in Construction, v. 17, n. 1 (November 2007).
https://doi.org/10.1016/j.autcon.2007.03.001
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Cheng, Min-Yuan / Chiu, Kuan-Chang / Hsieh, Yo-Ming / Yang, I-Tung / Chou, Jui-Sheng / Wu, Yu-Wei (2017): BIM integrated smart monitoring technique for building fire prevention and disaster relief. In: Automation in Construction, v. 84 (December 2017).
https://doi.org/10.1016/j.autcon.2017.08.027
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Chou, Jui-Sheng / Lin, Chih-Wei / Pham, Anh-Duc / Shao, Ji-Yao (2015): Optimized artificial intelligence models for predicting project award price. In: Automation in Construction, v. 54 (June 2015).
https://doi.org/10.1016/j.autcon.2015.02.006
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Chou, Jui-Sheng / Pham, Anh-Duc (2014): Hybrid computational model for predicting bridge scour depth near piers and abutments. In: Automation in Construction, v. 48 (December 2014).
https://doi.org/10.1016/j.autcon.2014.08.006