◢ A1. Engineering Informatics ∣ A2. Project Quantitative Mgmt ∣ A3. Decision, Risk & Disaster Mgmt ∣ Other Journals ◣      Listed by Year

 ResearchGate   •      •   Scopus    •      •   Web of Science    •       •   

 

A1. Engineering Informatics: Data Mining  •  Applied Machine/Deep Learning  •  Artificial Intelligence  •  MIS/DSS

( Corresponding author)   

- Artificial Intelligence for Civil Engineering and Project Management   

     Metaheuristic Optimization in Engineering Applications  Go up

  1. Dinh-Nhat Truong, Jui-Sheng Chou (2025), Multiobjective enterprise development algorithm for optimizing structural design by weight and displacement, Applied Mathematical Modelling, Volume 137, Part B, January 2025, 115676.【MOED algorithm】

  2. Jui-Sheng Chou, Hoang-Minh Nguyen, Huy-Phuong Phan, Kuo-Lung Wang (2024), Predicting Deep-Seated Landslide Displacement in Taiwan's Lushan Mountain through the Integration of Convolutional Neural Networks and an Age of Exploration-Inspired Optimizer, Natural Hazards and Earth System Sciences, 2024.【AEIO algorithm】

  3. Dinh-Nhat Truong, Jui-Sheng Chou (2024), Metaheuristic algorithm inspired by enterprise development for global optimization and structural engineering problems with frequency constraints, Engineering Structures, Volume 318, November 2024, 118679. 【ED algorithm】

  4. Jui-Sheng Chou, Asmare Molla Reta (2024), Arctic Tern-Optimized Weighted Feature Regression System for Predicting Bridge Scour Depth, Engineering Applications of Computational Fluid Mechanics, Volume 18, Issue 1, July 2024, 2364745. 【ATO】

  5. Jui-Sheng Chou, Chi-Yun Liu (2023), Pilgrimage walk optimization: Folk culture-inspired algorithm for identification of bridge deterioration, Automation in Construction, Volume 155, November 2023, 105055. 【PWO】

  6. Dinh-Nhat Truong, Jui-Sheng Chou (2023), Fuzzy adaptive forensic-based investigation algorithm for optimizing frequency-constrained structural dome design. Mathematics and Computers in Simulation, Volume 210, August 2023, Pages 473-531. Mathworks Download 【FAFBI algorithm】

  7. Dinh-Nhat Truong, Jui-Sheng Chou (2022), Fuzzy adaptive jellyfish search-optimized stacking machine learning for engineering planning and design, Automation in Construction, Volume 143, November 2022, 104579. 【FAJSO algorithm】

  8. Jui-Sheng Chou, Dinh-Nhat Truong (2022), Multiobjective forensic-based investigation algorithm for solving structural design problems, Automation in Construction, Volume 134, February 2022, 104084.  【MOFBI algorithm】

  9. Jui-Sheng Chou, Asmare Molla (2022), Recent advances in use of bio-inspired jellyfish search algorithm for solving optimization problems, Scientific Reports 12, 19157. 【JSO algorithm review】

  10. Jui-Sheng Chou, Dinh-Nhat Truong (2021), A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean, Applied Mathematics and Computation, Volume 389, 15 January 2021, 125535. MathWorks Download．Top Cited．Most Downloaded 【JSO】

  11. Jui-Sheng Chou, Ngoc-Mai Nguyen (2020), FBI inspired meta-optimization, Applied Soft Computing, Volume 93, August 2020, 106339. MathWorks Download 【FBI algorithm】

  12. Jui-Sheng Chou, Dinh-Nhat Truong (2020), Multiobjective optimization inspired by behavior of jellyfish for solving structural design problems, Chaos, Solitons & Fractals: An interdisciplinary journal of nonlinear science, Volume 135, June 2020, 109738. MathWorks Download 【MOJS algorithm】

      Project Management Information System/Decision Support System

     - Web-based System  Go up

  1. Jui-Sheng Chou, Yu-Hsuan Chen, Chi-Yun Liu, Wai Oswald Chong (2023), Quality management platform inspired during COVID-19 pandemic for use by subcontractors in private housing projects, Journal of Civil Engineering and Management,  April 2023, Volume 29, Issue 5: 398–417.

  2. Jui-Sheng Chou, Jeffisa Delaosia Kosasih, Wai K. Chong (2021), Cloud evolutionary computation system for advanced engineering analytics, Engineering with Computers, Volume 38, Issue 4, August 2022, Pages 3295–3319. [Web-based NiMOPS (Ver. 2d)]

  3. Jui-Sheng Chou, Ngoc-Son Truong (2019), Cloud forecasting system for monitoring and alerting of energy use by home appliances, Applied Energy, Volume 249, 1 September 2019, Pages 166-177.

  4. Jui-Sheng Chou, Abdi S. Telaga, Wai K. Chong, G. Edward Gibson Jr. (2017), Early-warning application for real-time detection of energy consumption anomalies in buildings, Journal of Cleaner Production, Volume 149, 15 April 2017, Pages 711–722. (PIM Energy Consumption Early Warning System)

  5. Jui-Sheng Chou, Hung-Ming Chen, Chuan-Chien Hou, Chun-Wei Lin (2010), Visualized EVM system for assessing project performance, Automation in Construction, Vol. 19, Issue 5, pp 596-607.

  6. Jui-Sheng Chou (2009), Web-based CBR system applied to early cost budgeting for pavement maintenance project, Expert Systems with Applications, Vol. 36, Issue 2, Part 2, pp 2947-2960.

  7. Jui-Sheng Chou, James T. O'Connor (2007), Internet-based preliminary highway construction cost estimating database, Automation in Construction, Vol. 17, Issue 1, pp 65-74.

  8. 廖軒晨、林致緯、蔡瓊毅、周瑞生 (2021), 「小型營造公司工程品質管理資訊系統便捷設計及應用-以建築工程為例」，營建管理季刊，一百一0年，第112期，頁1-22。

     - Standalone System  Go up

  1. Jui-Sheng Chou, Li-Ying Chen, Chi-Yun Liu (2023), Forensic-based investigation-optimized extreme gradient boosting system for predicting compressive strength of ready-mixed concrete, Journal of Computational Design and Engineering, Volume 10, Issue 1, February 2023, Pages 425–445. (EDITOR'S CHOICE)

  2. Jui-Sheng Chou, Trang Thi Phuong Pham, Chia-Chun Ho (2021), Metaheuristic Optimized Multi-level Classification Learning System for Engineering Management, Applied Sciences, Volume 11, Issue 12 (June-2 2021), 5533.

  3. Jui-Sheng Chou, Dinh-Nhat Truong, Chih-Fong Tsai (2021), Solving Regression Problems with Intelligent Machine Learner for Engineering Informatics, Mathematics, 23 March 2021, Vol. 9, No. 6:686.

  4. Jui-Sheng Chou, Wai K. Chong, Dac-Khuong Bui (2016), Nature-Inspired Metaheuristic Regression System: Programming and Implementation for Civil Engineering Applications, ASCE Journal of Computing in Civil Engineering, Vol. 30, No. 5, September 2016: 04016007. [SFA-LSSVR SYSTEM v1.7]

  5. Jui-Sheng Chou, Julian Pratama Putra Thedja (2016), Metaheuristic optimization within machine learning-based classification system for early warnings related to geotechnical problems, Automation in Construction, Volume 68, August 2016, Pages 65–80. [SFA-LSSVM SYSTEM v3.2 (Ver. 2c)]

  6. Jui-Sheng Chou, Anh-Duc Pham (2015), Smart Artificial Firefly Colony Algorithm-Based Support Vector Regression for Enhanced Forecasting in Civil Engineering, Computer-Aided Civil and Infrastructure Engineering, Volume 30, Issue 9, pages 715–732, September 2015.

  7. Jui-Sheng Chou, Hsien-Cheng Tseng (2011), Establishing expert system for prediction based on the project-oriented data warehouse, Expert Systems with Applications, Vol. 38, Issue 1, pp 640-651.

  8. Jui-Sheng Chou (2009), Generalized linear model-based expert system for estimating the cost of transportation projects, Expert Systems with Applications, Vol. 36, Issue 3, Part 1, pp 4253-4267.

     AI Application to Construction Management  Go up

  1. Chi-Yun Liu, Jui-Sheng Chou (2024.12), Automated legal consulting in construction procurement using metaheuristically optimized large language models, Automation in Construction. (In Press)

  2. Jui-Sheng Chou, Pin-Chao Liao, Chi-Yun Liu, Chia-Yung Hou (2024), Machine learning of electroencephalography signals and eye movements to classify work-in-progress risk at construction site, Journal of Civil Engineering and Management. (In Press)

  3. Dang-Trinh Nguyen, Jui-Sheng Chou, Duc-Hoc Tran (2022), Integrating a novel multiple-objective FBI with BIM to determine tradeoff among resources in project scheduling, Knowledge-Based Systems, Volume 235, 10 January 2022, 107640.

  4. Duc-Hoc Tran, Jui-Sheng Chou, Duc-Long Luong (2021), Optimizing non-unit repetitive project resource and scheduling by evolutionary algorithms, Operational Research, Volume 22, Issue 1, March 2022, Pages 77-103.

  5. Duc-Hoc Tran, Jui-Sheng Chou, Duc-Long Luong (2019), Multi-objective symbiotic organisms optimization for making time-cost tradeoffs in repetitive project scheduling problem, Journal of Civil Engineering and Management, April 2019, Volume 25 Issue 4: 322–339.

  6. Jui-Sheng Chou, Min-Yuan Cheng, Yo-Ming Hsieh, I-Tung Yang, Hsin-Ting Hsu (2019), Optimal path planning in real time for dynamic building fire rescue operations using wireless sensors and visual guidance, Automation in Construction, Volume 99, March 2019, Pages 1-17.

  7. Jui-Sheng Chou, Jung-Ghun Yang (2013), Evolutionary Optimization of Model Specification Searches between Project Management Knowledge and Construction Engineering Performance, Expert Systems with Applications, Volume 40, Issue 11, September 2013, Pages 4414-4426.

  8. I-Tung Yang, Jui-Sheng Chou (2011), Multiobjective optimization for manpower assignment in consulting engineering firms, Applied Soft Computing, Vol. 11, Issue 1, pp 1183-1190.

  9. Jui-Sheng Chou, Shu-Chien Hsu, Chih-Wei Lin, Yu-Chen Chang (2016), Classifying influential information to discover rule sets for project disputes and possible resolutions, International Journal of Project Management, Volume 34, Issue 8, November 2016, Pages 1706–1716.

  10. Jui-Sheng Chou, Min-Yuan Cheng, Yu-Wei Wu, Anh-Duc Pham (2014), Optimizing parameters of support vector machine using fast messy genetic algorithm for dispute classification, Expert Systems with Applications, Volume 41, Issue 8, June 2014, Pages 3955–3964.

  11. Jui-Sheng Chou, Chih-Fong Tsai, Yu-Hsin Lu (2013), Project Dispute Prediction by Hybrid Machine Learning Techniques, Journal of Civil Engineering and Management, Volume 19, Issue 4, September 2013, Pages 505-517.

  12. Jui-Sheng Chou, Min-Yuan Cheng, Yu-Wei Wu (2013), Improving classification accuracy of project dispute resolution using hybrid artificial intelligence and support vector machine models, Expert Systems with Applications, Volume 40, Issue 6, May 2013, Pages 2263–2274.

  13. Jui-Sheng Chou, Chieh Lin (2013), Predicting Disputes in Public-Private Partnership Projects: Classification and Ensemble Models, ASCE Journal of Computing in Civil Engineering, Volume 27, Issue 1, January 2013, pp 51-60.

  14. Jui-Sheng Chou (2012), Comparison of Multilabel Classification Models to Forecast Project Dispute Resolutions, Expert Systems with Applications, Vol. 39, Issue 11, pp 10202-10211.

     AI Application to Geotechnical Engineering  Go up

  1. Jui-Sheng Chou, Tran-Bao-Quyen Pham (2024), Enhancing Soil Liquefaction Risk Assessment with Metaheuristics and Hybrid Learning Techniques, Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, Volume 18, July 2024, 1–19.

  2. Jui-Sheng Chou, Dinh-Nhat Truong, Thuy-Linh Le, Thi Thu Ha Truong (2021), Bio-inspired optimization of weighted-feature machine learning for strength property prediction of fiber-reinforced soil, Expert Systems with Applications, Volume 180, 15 October 2021, 115042.

  3. Jui-Sheng Chou, Ngoc-Tri Ngo (2018), Engineering strength of fiber-reinforced soil estimated by swarm intelligence optimized regression system, Neural Computing and Applications, October 2018, Volume 30, Issue 7, pp 2129–2144.

  4. Jian-Ming Chiu, E-Ming Chen, Chuan-Pei Lee, Indrajit Shown, Venkatesh Tunuguntla, Jui-Sheng Chou, Li-Chyong Chen, Kuei-Hsien Chen, Yian Tai (2017), Geogrid-Inspired Nanostructure to Reinforce a CuxZnySnzS Nanowall Electrode for High-Stability Electrochemical Energy Conversion Devices, Advanced Energy Materials, June 2017, Volume 7, Issue 12, 1602210.

  5. Jui-Sheng Chou, Kuo-Hsin Yang, Jie-Ying Lin (2016), Peak Shear Strength of Discrete Fiber-Reinforced Soils Computed by Machine Learning and Metaensemble Methods, ASCE Journal of Computing in Civil Engineering, Volume 30, Issue 6, November 2016: 04016036.

  6. Jui-Sheng Chou, Kuo-Hsin Yang, Jusieandra Pribadi Pampang, Anh-Duc Pham (2015), Evolutionary metaheuristic intelligence to simulate tensile loads in reinforcement for geosynthetic-reinforced soil structures, Computers and Geotechnics, Volume 66, May 2015, Pages 1–15.

  7. 周瑞生、楊國鑫、林婕嫈 (2016)，「應用資料探勘技術暨啟發式演化組合模型預測離散纖維加勁土壤之剪力強度參數」，中國土木水利工程學刊，第二十八卷，第三期，205-218 (民國一○五年)。

     AI Application to Structural Engineering  Go up

  1. Jui-Sheng Chou, Chi-Yun Liu (2025), Optimized Lightweight Edge Computing Platform for UAV-Assisted Detection of Concrete Deterioration Beneath Bridge Decks, ASCE Journal of Computing in Civil Engineering, Volume 39, Issue 1, January 2025, 04024045.

  2. Dinh-Nhat Truong, Jui-Sheng Chou (2023), Integrating enhanced optimization with finite element analysis for designing steel structure weight under multiple constraints, Journal of Civil Engineering and Management, 2023 Volume 29 Issue 8: 757–786.

  3. Chi-Yun Liu, Jui-Sheng Chou (2023), Bayesian-optimized deep learning model to segment deterioration patterns underneath bridge decks photographed by unmanned aerial vehicle, Automation in Construction, Volume 146, February 2023, 104666.

  4. Jui-Sheng Chou, Misael Algape Karundeng, Dinh-Nhat Truong, Min-Yuan Cheng (2022), Identifying deflections of reinforced concrete beams under seismic loads by bio-inspired optimization of deep residual learning, Structural Control and Health Monitoring, Volume 29, Issue 4, April 2022, e2918. (Featured Cover of the journal issue)

  5. Jui-Sheng Chou, Ngoc-Mai Nguyen (2021), Metaheuristics-optimized ensemble system for predicting mechanical strength of reinforced concrete materials, Structural Control and Health Monitoring, Volume 28, Issue 5, May 2021, e2706.

  6. Jui-Sheng Chou, Trang Thi Phuong Pham, Thi Kha Nguyen, Anh-Duc Pham, Ngoc-Tri Ngo (2020), Shear strength prediction of reinforced concrete beams by baseline, ensemble, and hybrid machine learning models, Soft Computing, 24, pages 3393–3411.

  7. Jui-Sheng Chou, Ngoc-Tri Ngo (2017), Modified firefly algorithm for multidimensional optimization in structural design problems, Structural and Multidisciplinary Optimization, June 2017, Volume 55, Issue 6, pp 2013–2028.

  8. Jui-Sheng Chou, Ngoc-Tri Ngo, Anh-Duc Pham (2016), Closure to “Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression” by Jui-Sheng Chou, Ngoc-Tri Ngo and Anh-Duc Pham, ASCE Journal of Computing in Civil Engineering, Vol. 30, No. 1, January 2016: 07015002.

  9. Jui-Sheng Chou, Ngoc-Tri Ngo, Anh-Duc Pham (2016), Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression, ASCE Journal of Computing in Civil Engineering, Vol. 30, No. 1, January 2016: 04015002. Erratum for “Shear Strength Prediction in Reinforced Concrete Deep Beams Using Nature-Inspired Metaheuristic Support Vector Regression” by Jui-Sheng Chou, Ngoc-Tri Ngo, and Anh-Duc Pham, ASCE Journal of Computing in Civil Engineering, Vol. 30, No. 1, January 2016: 08215001.

  10. Wei-Ko Kao, Hung-Ming Chen, Jui-Sheng Chou (2011), Aseismic ability estimation of school building using predictive data mining models, Expert Systems with Applications, Vol. 38, Issue 8, pp 10252–10263.

     AI Application to Construction Materials  Go up

  1. Jui-Sheng Chou, Chi-Yun Liu, Pin-Chun Guo (2024.11), Deploying UAV-Based Detection of Bridge Structural Deterioration with Pilgrimage Walk Optimization-Lite for Computer Vision, Case Studies in Construction Materials. (In Press)

  2. Ngoc-Mai Nguyen, Jui-Sheng Chou (2024), Forecasting Mechanical Properties of Steel Structures through Dynamic Metaheuristic Optimization for Adaptive Machine Learning, Journal of Civil Engineering and Management, Volume 30, Issue 5, Pages 414–436.

  3. Jui-Sheng Chou, Chi-Yun Liu, Handy Prayogo, Riqi Radian Khasani, Danny Gho, Gretel Gaby Lalitan (2022), Predicting nominal shear capacity of reinforced concrete wall in building by metaheuristics-optimized machine learning, Journal of Building Engineering, Volume 61, 1 December 2022, 105046

  4. Jui-Sheng Chou, Stela Tjandrakusuma, Chi-Yun Liu (2022), Jellyfish Search-Optimized Deep Learning for Compressive Strength Prediction in Images of Ready-Mixed Concrete, Computational Intelligence and Neuroscience, Volume 2022 (August), Article ID 9541115, 26 pages.

  5. Dac-Khuong Bui, Tuan Nguyen, Jui-Sheng Chou, H. Nguyen-Xuan, Tuan Duc Ngo (2018), A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete, Construction and Building Materials, Volume 180, 20 August 2018, Pages 320–333.

  6. Jui-Sheng Chou, Ngoc-Tri Ngo, Wai K. Chong (2017), The use of artificial intelligence combiners for modeling steel pitting risk and corrosion rate, Engineering Applications of Artificial Intelligence, Volume 65, October 2017, Pages 471-483.

  7. Jui-Sheng Chou, Chih-Fong Tsai, Anh-Duc Pham, Yu-Hsin Lu (2014), Machine learning in concrete strength simulations: Multi-nation data analytics, Construction and Building Materials, Volume 73, 30 December 2014, Pages 771–780.

  8. Jui-Sheng Chou, Anh-Duc Pham (2013), Enhanced Artificial Intelligence for Ensemble Approach to Predicting High Performance Concrete Compressive Strength, Construction and Building Materials, Volume 49, December 2013, Pages 554–563.

  9. Min-Yuan Cheng, Jui-Sheng Chou, Andreas F.V. Roy, Yu-Wei Wu (2012), High-performance Concrete Compressive Strength Prediction using Time-Weighted Evolutionary Fuzzy Support Vector Machines Inference Model, Automation in Construction, Volume 28, December 2012, Pages 106-115.

  10. Jui-Sheng Chou, Chih-Fong Tsai (2012), Concrete compressive strength analysis using a combined classification and regression Technique, Automation in Construction, Vol. 24, July 2012, pp 52–60.

  11. Jui-Sheng Chou, Chien-Kuo Chiu, Mahmoud Eid Farfoura, Ismael Taharwee (2011), Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data Mining Techniques, ASCE Journal of Computing in Civil Engineering, Volume 25, Issue 3, pp 242-253.

     AI Application to Water Resource & Hydraulic Engineering  Go up

  1. Jui-Sheng Chou, Pei-Lun Chong, Chi-Yun Liu (2024), Deep learning-based chatbot by natural language processing for supportive risk management in river dredging projects, Engineering Applications of Artificial Intelligence, Volume 131, May 2024, 10774.

  2. Jui-Sheng Chou, Ngoc-Mai Nguyen (2022), Scour depth prediction at bridge piers using metaheuristics-optimized stacking system, Automation in Construction, Volume 140, August 2022, 104297.

  3. Jui-Sheng Chou, Chia-Hsuan Liu (2021), Automated Sensing System for Real-Time Recognition of Trucks in River Dredging Areas Using Computer Vision and Convolutional Deep Learning, Sensors, 14 January 2021, 21(2), 555.

  4. Jui-Sheng Chou, Chang-Ping Yu, Dinh-Nhat Truong, Billy Susilo, Anyi Hu, Qian Sun (2019), Predicting Microbial Species in a River Based on Physicochemical Properties by Bio-Inspired Metaheuristic Optimized Machine Learning, Sustainability, 11(24), 6889.

  5. Jui-Sheng Chou, Chia-Chun Ho, Ha-Son Hoang (2018), Determining quality of water in reservoir using machine learning, Ecological Informatics, Volume 44, March 2018, Pages 57–75.

  6. Jui-Sheng Chou, Anh-Duc Pham (2017), Nature-inspired metaheuristic optimization in least squares support vector regression for obtaining bridge scour information, Information Sciences, Volume 399, August 2017, Pages 64–80.

  7. Jui-Sheng Chou, Anh-Duc Pham (2014), Hybrid Computational Model for Predicting Bridge Scour Depth near Piers and Abutments, Automation in Construction, Volume 48, December 2014, Pages 88-96.

 

A2. Project Quantitative Management   •  Building Energy Management  •  Sustainable Development      Go up

- Project Quantitative Management  

     Cost Estimates  Go up

  1. Jui-Sheng Chou, Dillon-Brandon Fleshman, Dinh-Nhat Truong (2022), Comparison of machine learning models to provide preliminary forecasts of real estate prices, Journal of Housing and the Built Environment, Volume 37, issue 4, December 2022, Pages: 2079–2114.

  2. Jui-Sheng Chou, Chih-Wei Lin, Anh-Duc Pham, Ji-Yao Shao (2015), Optimized artificial intelligence models for predicting project bid award price, Automation in Construction, Volume 54, June 2015, Pages 106–115.

  3. Jui-Sheng Chou, Chih-Fong Tsai (2012), Preliminary cost estimates for thin-film transistor liquid–crystal display inspection and repair equipment: A hybrid hierarchical approach, Computers & Industrial Engineering, Vol. 62, Issue 2, pp 661-669.

  4. Jui-Sheng Chou, Min-Yuan Cheng, Yu-Wei Wu, Yian Tai (2011), Predicting high-tech equipment fabrication cost with a novel evolutionary SVM inference model, Expert Systems with Applications, Vol. 38, Issue 7, pp 8571-8579.

  5. Jui-Sheng Chou, Yian Tai, Liang-Ji Chang (2010), Predicting the development cost of TFT-LCD manufacturing equipment with artificial intelligence models, International Journal of Production Economics, Vol. 128, Issue 1, pp 339-350.

  6. Jui-Sheng Chou (2008), Applying AHP-based CBR to Estimate Pavement Maintenance Cost, Tsinghua Science and Technology, Volume 13, Number S1, pp 114-120. (Selected Paper in ICCCBE-XII)

  7. Jui-Sheng Chou, Min Peng, Khali R. Persad, James T. O’Connor (2006), Quantity-Based Approach to Preliminary Cost Estimates for Highway Projects, Transportation Research Record: Journal of the Transportation Research Board, Issue Number: 1946, pp 22-30, National Research Council, Washington D.C.

     Effort Estimates  Go up

  1. Jui-Sheng Chou, Cheng-Chieh Wu (2013), Estimating Software Project Effort for Manufacturing Firms, Computers in Industry, Volume 64, Issue 6, August 2013, Pages 732–740.

  2. Jui-Sheng Chou, Min-Yuan Cheng, Yu-Wei Wu, Cheng-Chieh Wu (2012), Forecasting enterprise resource planning software effort using evolutionary support vector machine inference model, International Journal of Project Management, Volume 30 Issue 8, November 2012, Pages 967–977.

     Time Estimates  Go up

  1. 林致緯、周瑞生、楊亦東 (2020)，「初設階段預測公路工程完工工期之研究」，中國土木水利工程學刊，第32卷，第1期，63-73 (民國一○九年)。

  2. 林致緯、周瑞生、李孝安、李孟學 (2016)，「大數據應用 推估工期有一套」，營建知訊，第405期，24-36。

     Project Performance Evaluation  Go up

  1. Yi-Shin Lin, Jui-Sheng Chou, Chi-Hung Chiou (2021), Reengineered Governance Process for Assessing Core Public Infrastructure Projects, Sustainability, 13(17), 9669.

  2. Jui-Sheng Chou, Gabriele Theodora Leatemia (2016), Critical Process and Factors for Ex-Post Evaluation of Public-Private Partnership Infrastructure Projects in Indonesia, ASCE Journal of Management in Engineering, Vol. 32, No. 5, September 2016: 05016011.

  3. Jui-Sheng Chou, Dinar Pramudawardhani (2015), Cross-country comparison of key drivers, critical success factors and risk allocation for public-private partnership projects, International Journal of Project Management, Volume 33, Issue 5, July 2015, Pages 1136–1150. (Most Cited International Journal of Project Management Articles:
    The most cited articles published since 2014, extracted from Scopus.)

  4. Jui-Sheng Chou, H. Ping Tserng, Chieh Lin, Wen-Haw Huang (2015), Strategic Governance for Modeling Institutional Framework of Public-Private Partnerships, Cities: The International Journal of Urban Policy and Planning, Volume 42, Part B, February 2015, Pages 204–211.

  5. Hui Ping Tserng, Shih-Ping Ho, Jui-Sheng Chou, Chieh Lin (2014), Proactive Measures of Governmental Debt Guarantees to Facilitate Public-Private Partnerships Project, Journal of Civil Engineering and Management, Volume 20, Issue 4, July 2014, Pages 548-560.

  6. Jui-Sheng Chou, H. Ping Tserng, Chieh Lin, Chun-Pin Yeh (2012), Critical Factors and Risk Allocation for PPP Policy: Comparison between HSR and General Infrastructure Projects, Transport Policy, Vol. 22, July 2012, pp 36–48.

  7. 周瑞生、詹穎雯、李孝安、林怡芯、張鼎煥、楊正裕、邱繼弘、陳怡君 (2013)，「公共工程計畫編審機制探討與實務運作模式建立之研究」，營建管理季刊，一百零二年秋季號，第九十六期，頁1-24。

  8. 周瑞生、李孝安、林怡蕊 (2013)，「公共建設計畫編審機制芻議」，Vol. 40, No. 2, April 2013, 土木水利，第四十卷，第二期，頁18-21。

     Transport Service Management  Go up

  1. Jui-Sheng Chou, Citra S. Ongkowijoyo, Ngoc-Tri Ngo, Shih-Yun Chen (2020), Evolutionary bi-level model for optimizing ticket fares and operations profit of Taiwan high-speed rail, Research in Transportation Business and Management, Volume 37, December 2020, 100548.

  2. Jui-Sheng Chou, Ya-Ling Chien, Ngoc-Mai Nguyen, Dinh-Nhat Truong (2018), Pricing policy of floating ticket fare for riding high speed rail based on time-space compression, Transport Policy, Volume 69, October 2018, Pages 179-192.

  3. Jui-Sheng Chou, Changwan Kim, Pei-Yu Tsai, Chun-Pin Yeh, Hyojoo Son (2017), Longitudinal assessment of high-speed rail service delivery, satisfaction and operations: A study of Taiwan and Korea systems, KSCE Journal of Civil Engineering, September 2017, Volume 21, Issue 6, pp 2413–2428.

  4. Jui-Sheng Chou, Chun-Pin Yeh (2013), Influential constructs, mediating effects, and moderating effects on operations performance of high speed rail from passenger perspective. Transport Policy, Volume 30, November 2013, Pages 207–219.

  5. Jui-Sheng Chou, Changwan Kim, Yao-Chen Kuo, Nai-Chi Ou (2011), Deploying effective service strategy in the operations stage of high speed rail, Transportation Research Part E: Logistics and Transportation Review, Vol. 47, Issue 4, pp 507-519.

  6. Jui-Sheng Chou, Changwan Kim (2009), A structural equation analysis of the QSL relationship with passenger riding experience on high speed rail: An empirical study of Taiwan and Korea, Expert Systems with Applications, Vol. 36, Issue 3, Part 2, pp 6945-6955.

  7. 周瑞生、蔡佩妤 (2016)，「以旅客觀點持續性評估高速鐵路營運績效長期趨勢及其關聯影響因素：跨國比較與探討」，中國土木水利工程學刊，第二十八卷，第三期，147-159 (民國一○五年)。

  8. 周瑞生、葉竣賓 (2012)，「從旅客觀點探討影響高速鐵路營運績效構念暨其中介與調節效果」，營建管理季刊，一百零一年冬季號，第九十三期，頁1-23。

     Building Service Management  Go up

  1. Yao-Chen Kuo, Jui-Sheng Chou (2012), Enhancement of Condominium Management based on the Effect of Quality Attributes on Satisfaction Improvement, Expert Systems with Applications, Vol. 39, Issue 5, pp 5418–5425.

  2. Yao-Chen Kuo, Jui-Sheng Chou, Kuo-Shun Sun (2011), Elucidating how service quality constructs influence resident satisfaction with condominium management, Expert Systems with Applications, Vol. 38, Issue 5, pp 5755–5763.

  3. 郭燿禎、周瑞生、 孫國勛、陳冠宇 (2010)，「公寓大廈管理維護業服務品質構念暨滿意度研究」，物業管理學報，二○一○年春季號，第一卷，第一期，頁73-82。

     Critical Factor Analysis  Go up    

  1. Jui-Sheng Chou, Yu-Hsiu Chang, Asmare Molla, Wai Oswald Chong (2023), Determining critical success factors for residential reconstruction in the urban city from the perspective of developers, Sustainable Cities and Society, Volume 99, December 2023, 104977.

  2. Jui-Sheng Chou, Ying-Chen Chiu (2021), Identifying critical risk factors and responses of river dredging projects for knowledge management within organisation, Journal of Flood Risk Management, Volume 14, Issue 1, March 2021, e12690.

  3. Jui-Sheng Chou, Nelly Irawan, Anh-Duc Pham (2013), Project Management Knowledge of Construction Professionals: Cross-Country Study of Effects on Project Success, ASCE Journal of Construction Engineering and Management, Vol. 139, No. 11, November 2013, 04013015.

  4. Jui-Sheng Chou, Jhih-Hao Hong (2013), Assessing the impact of quality determinants and user characteristics on successful enterprise resource planning project implementation, Journal of Manufacturing Systems, Volume 32, Issue 4, October 2013, Pages 792–800.

  5. Hyojoo Son, Yoora Park, Changwan Kim, Jui-Sheng Chou (2012), Toward an understanding of construction professionals' acceptance of mobile computing devices in South Korea: An extension of the technology acceptance model, Automation in Construction, Volume 28, December 2012, Pages 82-90.

  6. Jui-Sheng Chou, Jung-Ghun Yang (2012), Project Management Knowledge and Effects on Construction Project Outcomes: An Empirical Study, Project Management Journal, Volume 43, Issue 5, October 2012, Pages 47–67.

  7. 周瑞生、楊仲均 (2012)，「專案管理知識體系之相關技術(巧)對工程績效、業主滿意度與專案成功之影響」，營建管理季刊，一百零一年春季號，第九十期， 頁39-57。

 

- Building Energy Management

     Residential Buildings  Go up

  1. Jui-Sheng Chou, Ngoc-Quang Nguyen (2023), Forecasting regional energy consumption via jellyfish search-optimized convolutional-based deep learning, International Journal of Energy Research, Volume 2023, Article ID 3056688.

  2. Jui-Sheng Chou, Tsung-Chi Cheng, Chi-Yun Liu, Chung-Yu Guan, Chang-Ping Yu (2022), Metaheuristics-optimized deep learning to predict generation of sustainable energy from rooftop plant microbial fuel cells, International Journal of Energy Research, Volume 46, Issue15, December 2022, Pages 21001-21027. (Featured Cover of the journal issue)

  3. Jui-Sheng Chou, Sheng-Ming Hsu (2022), Automated prediction system of household energy consumption in cities using web crawler and optimized artificial intelligence, International Journal of Energy Research, Volume 46, Issue 1, January 2022 Pages 319-339.

  4. Jui-Sheng Chou, Dinh-Nhat Truong, Ching-Chiun Kuo, (2021), Imaging time-series with features to enable visual recognition of regional energy consumption by bio-inspired optimization of deep learning, Energy, Volume 224, 1 June 2021, 120100.

  5. Jui-Sheng Chou, Dinh-Nhat Truong (2021), Multistep energy consumption forecasting by metaheuristic optimization of time-series analysis and machine learning, International Journal of Energy Research, Volume 45, Issue 3, 10 March 2021, Pages 4581-4612.

  6. Duc-Hoc Tran, Duc-Long Luong, Jui-Sheng Chou (2020), Nature-inspired metaheuristic ensemble model for forecasting energy consumption in residential buildings, Energy, Volume 191, 15 January 2020, 116552.

  7. Jui-Sheng Chou, Duc-Son Tran (2018), Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders, Energy, Volume 165, Part B, 15 December 2018, Pages 709-726.

  8. Jui-Sheng Chou, Ngoc-Tri Ngo (2016), Smart grid data analytics framework for increasing energy savings in residential buildings, Automation in Construction, Volume 72, Part 3, December 2016, Pages 247–257. (Automatic Saving Energy Navigation System)

  9. Jui-Sheng Chou, Ngoc-Tri Ngo (2016), Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns, Applied Energy, Volume 177, September 2016, Pages 751–770. (Automatic Saving Energy Navigation System)

  10. Jui-Sheng Chou, Dac-Khuong Bui (2014), Modeling heating and cooling loads by artificial intelligence for energy-efficient building design, Energy and Buildings, Volume 82, October 2014, Pages 437–446. (Essential Science Indicators (ESI) Highly Cited Paper, Jan. 2023)

     Office Space  Go up

  1. Jui-Sheng Chou, Hoang-Minh Nguyen (2024), Simulating long-term energy consumption prediction in campus buildings through enhanced data augmentation and metaheuristic-optimized artificial intelligence, Energy and Buildings, Volume 312, 1 June 2024, 114191.

  2. Jui-Sheng Chou, Shu-Chien Hsu, Ngoc-Tri Ngo, Chih-Wei Lin, Chia-Chi Tsui (2019), Hybrid Machine Learning System to Forecast Electricity Consumption of Smart Grid-based Air Conditioners, IEEE Systems Journal, vol. 13, no. 3, pp. 3120-3128, Sept. 2019. [ARIMA-MetaFA-LSSVR Algorithm for Univariate-Multivariate Time-Series Data (Ver. 4)]

  3. Jui-Sheng Chou, Abdi Suryadinata Telaga (2014), Real-time detection of anomalous power consumption, Renewable & Sustainable Energy Reviews, Volume 33, May 2014, Pages 400-411. (PIM Energy Consumption Early Warning System)

     HVAC Facilities  Go up

  1. Hsiao-Ping Ni, Wai Oswald Chong, Jui-Sheng Chou (2024), Optimizing HVAC systems for semiconductor fabrication: A data-intensive framework for energy efficiency and sustainability, Journal of Building Engineering, Volume 89, 15 July 2024, 109397.

  2. Min-Yuan Cheng, Jui-Sheng Chou, Minh-Tu Cao (2017), Nature-inspired metaheuristic multivariate adaptive regression splines for predicting refrigeration system performance, Soft Computing, January 2017, Volume 21, Issue 2, Pages 477–489.

  3. Jui-Sheng Chou, Yu-Chien Hsu, Liang-Tse Lin (2014), Smart Meter Monitoring and Data Mining Techniques for Predicting Refrigeration System Performance, Expert Systems with Applications, Volume 41, Issue 5, April 2014, Pages 2144-2156. (Cloud Monitoring & Control)

  4. 周瑞生、許瑜倩、林良澤、邱繼弘 (2012)，「應用智慧電表監測與資料探勘技術預測冷凍設備之性能」，營建管理季刊，一百零一年秋季號，第九十二期， 頁15-36。(中華民國營建管理協會102年度論文獎; 2013 Paper of the Year Award)

 Energy Policy  Go up

  1. Seungtaek Lee, Wai Oswald Chong, Jui-Sheng Chou (2020), Examining the Relationships between Stationary Occupancy and Building Energy Loads in US Educational Buildings–Case Study, Sustainability, 12(3), 893.

  2. Jui-Sheng Chou, Changwan Kim, Khiet Thanh Ung, I Gusti Ayu Novi Yutami, Guo-Tai Lin, Hyojoo Son (2015), Cross-country review of smart grid adoption in residential buildings, Renewable & Sustainable Energy Reviews, Volume 48, August 2015, Pages 192–213.

  3. Jui-Sheng Chou, I Gusti Ayu Novi Yutami (2014), Smart meter adoption and deployment strategy for residential buildings in Indonesia, Applied Energy, Volume 128, September 2014, Pages 336-349.

  4. 周瑞生、林國泰、林良澤 (2015)，「從大台北都會區使用者觀點探討居家空間之智慧電表採用傾向與推行策略」，營建管理季刊， 第一○二期 ，51-75。

 

- Sustainable Development

     Sustainable Development  Go up

  1. Jui-Sheng Chou, Kuan-Chih Yeh (2015), Life cycle carbon dioxide emissions simulation and environmental cost analysis for building construction, Journal of Cleaner Production, Volume 101, 15 August 2015, Pages 137–147.

  2. Jui-Sheng Chou, Thanh-Son Le (2014), Probabilistic Multiobjective Optimization of Sustainable Engineering Design, KSCE Journal of Civil Engineering, Volume 18, Issue 4, May 2014, pp 853-864.

  3. C. Koranda, W. K. Chong, C. Kim, Jui-Sheng Chou, C. Kim (2012), An Investigation of the Applicability of Sustainability and Lean Concepts to Small Construction Projects, KSCE Journal of Civil Engineering, Vol. 16, No. 5, pp 699-707.

  4. Hyojoo Son, Changwan Kim, Wai Kiong Chong, Jui-Sheng Chou (2011), Implementing sustainable development in the construction industry: constructors' perspectives in the US and Korea, Sustainable Development, Vol. 19, Issue 5, pp 337-347.

  5. 周瑞生、葉冠志 (2012)，「建築物生命周期之排碳量模擬與環境成本分析-混凝土預鑄與場鑄工法之比較」，營建管理季刊，一百零一年冬季號，第九十三期，頁41-63。

 

A3. Decision, Risk, Engineering Failure Analysis & Disaster Management    Go up

- Investment Decision & Risk Analysis

 Financial Investment Forecasting  Go up

  1. Jui-Sheng Chou, Ke-En Chen (2024), Optimizing investment portfolios with a sequential ensemble of decision tree-based models and the FBI algorithm for efficient financial analysis, Applied Soft Computing, Volume 158, June 2024, 111550.

  2. Jui-Sheng Chou, Ngoc-Mai Nguyen, Chih-Ping Chang (2022), Intelligent candlestick forecast system for financial time-series analysis using metaheuristics-optimized multi-output machine learning, Applied Soft Computing, Volume 130, November 2022, 109642.

  3. Jui-Sheng Chou, Dinh-Nhat Truong, Thuy-Linh Le (2020), Interval Forecasting of Financial Time Series by Accelerated Particle Swarm-Optimized Multi-Output Machine Learning System, IEEE Access, Volume 8, Issue 1, pp. 14798-14808.

  4. Jui-Sheng Chou, Thi Thu Ha Truong (2019), Sliding-window metaheuristic optimization-based forecast system for foreign exchange analysis, Soft Computing, May 2019, Volume 23, Issue 10, pp 3545–3561.

  5. Jui-Sheng Chou, Thi-Kha Nguyen (2018), Forward Forecast of Stock Price Using Sliding-Window Metaheuristic-Optimized Machine Learning Regression, IEEE Transactions on Industrial Informatics, vol. 14, no. 7, pp. 3132-3142, July 2018.

Risk Analysis & Decision Making   Go up

  1. Jui-Sheng Chou, Pin-Chao Liao, Chung-Da Yeh (2021), Risk Analysis and Management of Construction and Operations in Offshore Wind Power Project, Sustainability, 13(13), 7473.

  2. Jui-Sheng Chou, Ji-Wei Lin (2020), Risk-Informed Prediction of Dredging Project Duration Using Stochastic Machine Learning, Water, 12(6), 1643.

  3. Jui-Sheng Chou, Citra S. Ongkowijoyo (2020), Closure to "Hybrid decision-making method for assessing priority and interdependency of critical infrastructure", International Journal of Disaster Risk Reduction, Volume 44, April 2020, 101471.

  4. Jui-Sheng Chou, Citra S. Ongkowijoyo (2019), Hybrid decision-making method for assessing interdependency and priority of critical infrastructure, International Journal of Disaster Risk Reduction, Volume 39, October 2019, 101134.

  5. Jui-Sheng Chou, Citra S. Ongkowijoyo (2015), Reliability-based Decision Making for Selection of Ready-Mix Concrete Supply Using Stochastic Superiority and Inferiority Ranking Method, Reliability Engineering and System Safety, Volume 137, May 2015, Pages 29-39.

  6. Jui-Sheng Chou, Citra S. Ongkowijoyo (2014), Risk-based Group Decision Making regarding Renewable Energy Schemes Using a Stochastic Graphical Matrix Model, Automation in Construction, Volume 37, January 2014, Pages 98-109.

  7. Sou-Sen Leu, Pham Vu Hong Son, Jui-Sheng Chou, Pham Thi Hong Nhung (2014), Developing Fuzzy Bayesian Game Model for Optimizing Negotiation Price, International Journal of Computational Intelligence and Applications, Volume 13, Issue 04, December 2014, 1450022.

  8. Jui-Sheng Chou, Anh-Duc Pham, Hsin Wang (2013), Bidding Strategy to Support Decision-making by Integrating Fuzzy AHP and Regression-based Simulation, Automation in Construction, Volume 35, November 2013, Pages 517–527.

  9. Jui-Sheng Chou, Thanh-Son Le (2011), Reliability-based performance simulation for optimized pavement maintenance, Reliability Engineering & System Safety, Vol. 96, Issue 10, pp 1402-1410.

  10. Jui-Sheng Chou (2011), Cost simulation in an item-based project involving construction engineering and management, International Journal of Project Management, Vol. 29, Issue 6, pp 706-717.

  11. Jui-Sheng Chou, I-Tung Yang, Wai Kiong Chong (2009), Probabilistic simulation for developing likelihood distribution of engineering project cost, Automation in Construction, Vol. 18, Issue 5, pp 570-577.

  12. Jui-Sheng Chou (2008), Applying AHP-based CBR to Estimate Pavement Maintenance Cost, Tsinghua Science & Technology, Volume 13, Number S1, pp 114-120. (Selected Paper in ICCCBE-XII)

 

- Engineering Failure Analysis & Disaster Management

     Wind Turbine Failure Analysis  Go up

  1. Jui-Sheng Chou, Yu-Chen Ou, Kuan-Yu Lin (2019), Collapse mechanism and risk management of wind turbine tower in strong wind, Journal of Wind Engineering & Industrial Aerodynamics, Volume 193, October 2019, 103962.

  2. Jui-Sheng Chou, Yu-Chen Ou, Kuan-Yu Lin, Chi-Ga Wang (2018), Structural failure simulation of onshore wind turbines impacted by strong winds, Engineering Structures, Volume 162, 1 May 2018, Pages 257–269.

  3. Jui-Sheng Chou, Chien-Kuo Chiu, I-Kui Huang, Kai-Ning Chi (2013), Failure analysis of wind turbine blade under critical wind loads, Engineering Failure Analysis,Volume 27, January 2013, pp 99-118. (Most Cited Engineering Failure Analysis Articles)

  4. Jui-Sheng Chou, Wan-Ting Tu (2011), Failure analysis and risk management of a collapsed large wind turbine tower, Engineering Failure Analysis, Vol. 18, Issue 1, pp 295–313. (Most Cited Engineering Failure Analysis Articles)

  5. 周瑞生、邱建國、黃一桂、紀凱甯 (2013)，「風力發電機葉片結構受颱風侵襲之表面開裂機制與災因探討」，結構工程，28卷 ，2 期 (2013/06), 頁101-123。

  6. 周瑞生、涂莞庭、陳正誠、陳瑞華、楊維和 (2010)，「風力發電機塔架受颱風侵襲倒塌致災原因之探討」，營建管理季刊，九十九年春季號，第八十二期，頁1-17。

     Managing Hazards  Go up

  1. Jui-Sheng Chou, Dinh-Nhat Truong, Yonatan Che  (2020), Optimized multi-output machine learning system for engineering informatics in assessing natural hazards, Natural Hazards, Volume 101, Issue 3, Pages 727-754.

  2. Min-Yuan Cheng, Kuan-Chang Chiu, Yo-Ming Hsieh, I-Tung Yang, Jui-Sheng Chou, Yu-Wei Wu (2017), BIM integrated smart monitoring technique for building fire prevention and disaster relief, Automation in Construction, Volume 84, December 2017, Pages 14–30.

  3. Jui-Sheng Chou, Shu-Chien Hsu, Chih-Wei Lin, Chia-Jung Lee, Ju-Ling Wei  (2017), Structural analysis of the relationships between implementing tasks and ex-post effectiveness for disaster mitigation practice in Taipei City, Sustainable Cities and Society, Volume 34, October 2017, Pages 1–11.

  4. Jui-Sheng Chou, Kuo-Hsin Yang, Ting-Cheng Ren (2015), Ex-post evaluation of preparedness education in disaster prevention, mitigation and response, International Journal of Disaster Risk Reduction, Volume 12, June 2015, Pages 188–201.

  5. Jui-Sheng Chou, Jia-Huei Wu (2014), Success Factors of Enhanced Disaster Resilience in Urban Community, Natural Hazards, November 2014, Volume 74, Issue 2, pp 661-686.

  6. Jui-Sheng Chou, Chih-Fong Tsai, Zong-Yao Chen, Ming-Hui Sun (2014), Biological-based Genetic Algorithms for Optimized Disaster Response Resource Allocation, Computers & Industrial Engineering, Volume 74, August 2014, Pages 52–67.

  7. Jui-Sheng Chou, Chen-Ming Lee (2014), Integrating the Geographic Information System and Data Mining Techniques to Model Effects of Compound Disasters in Taipei, Natural Hazards, Volume 70, Issue 2, January 2014, Page 1385-1415.

  8. Jui-Sheng Chou, Kuo-Hsin Yang, Min-Yuan Cheng, Wan-Ting Tu (2013), Identification and assessment of heavy rainfall–induced disaster potentials in Taipei City, Natural Hazards, Volume 66, Issue 2, March 2013, pp 167-190.

  9. Jui-Sheng Chou, Yu-Chen Ou, Min-Yuan Cheng, Min-Yuan Cheng, Chen-Ming Lee (2013), Emergency Shelter Capacity Estimation by Earthquake Damage Analysis, Natural Hazards, Volume 65, Issue 3, February 2013, pp 2031-2061.

  10. 周瑞生、歐昱辰、曾惠斌、陳瑞鈴、蔡綽芳、吳昀臻、陳育銘 (2019)，「都會區私有建築物震損評估與耐震補強成本效益分析-以臺南市幸福及維冠金龍大樓為例」，中國土木水利工程學刊，第31卷，第5期，453–469 (民國一○八年)。

  11. 周瑞生、歐昱辰、曾惠斌、陳瑞鈴、蔡綽芳、張人傑 (2019)，「臺灣私有建築物耐震評估補強經費之財務供需規劃暨其配套措施研議」，營建管理季刊，一百零八年，第111期，頁16-38。

  12. 周瑞生、吳家輝 (2014)，「臺北市都會社區防災管理實務推動」，物業管理學報，二○一四年秋季號，第五卷，第二期，頁61-78。

  13. 周瑞生、李振銘 (2013)，「整合地理資訊系統與資料探勘技術於都會區複合性災害境況模擬之研究」，營建管理季刊，一百零二年夏季號，第九十五期， 頁1-33。

  14. 周瑞生、歐昱辰、鄭敏元、鄭明淵、陳道平、李振銘、葉勁宏 (2012)，「臺北市地震災害潛勢分析與避難收容能量評估」，營建管理季刊，一百零一年夏季號，第九十一期，頁1-25。

  15. 楊國鑫、周瑞生、鄭明淵、涂莞庭、雷泰雄、蔡茂岳 (2011)，「臺北市颱洪與坡地災害潛勢界定與風險分析」，營建管理季刊，一百年春季號，第八十六期，頁59-73。(中華民國營建管理協會101年度論文獎; 2012 Paper of the Year Award)

 

Other Journal Articles    Go up

  1. 卿建業(Jianye Ching)；江維華(Wei-Hwa Chiang)；吳建宏(Jian-Hong Wu)；吳富春(Fu-Chun Wu)；阮怡凱(Yi-Kai Juan)；周瑞生(Jui-Sheng Chou)；洪崇展(Chung-Chan Hung)；張大鵬(Ta-Peng Chang)；陳正宗(Jeng-Tzong Chen)；陳俊杉(Chuin-Shan Chen)；陳柏華(Albert Chen)；曾惠斌(Hui-Ping Tserng)；黃金維(Cheinway Hwang)；歐昱辰(Yu-Chen Ou)；歐章煜(Chang-Yu Ou)；蔡克銓(Keh-Chyuan Tsai)；蔡宛珊(Christina Tsai)；盧宗成(Chung-Cheng Lu)；韓仁毓(Jen-Yu Han)；顏上堯(Shangyao Yan) (2024)，「土木水利工程國際期刊排序」《中國土木水利工程學刊》 36卷2期 (2024/04) Pp. 189-219.

  2. Jui-Sheng Chou, Ngoc-Tri Ngo, Wai K. Chong, G. Edward Gibson Jr. (2016). Big data and cloud computing for sustainable building energy efficiency. Start-up Creation: The Smart Eco-efficient Built Environment, Chapter 16, Pages 395-408, Edited by Pacheco-Torgal, Rasmussen, Granqvist, Ivanov, Kaklauskas, Makonin, Elsevier Science and Technology (ISBN: 978-0-08-100546-0). Woodhead Publishing, Elsevier. June 2016.

  3. JPP Thedja, Jui-Sheng Chou, TJW Adi (2016), The SFA-LSSVM as a Decision Support System for Mitigating Liquefaction Disasters, IPTEK Journal of Proceedings Series, Vol. 2, Issue 1, C217-69, January 2016. [SFA-LSSVM SYSTEM]

  4. Hariharan Naganathan, Sudarshan P Seshasayee, Jonghoon Kim, Wai K Chong, Jui-Sheng Chou (2016), Wildfire Predictions: Determining Reliable Models using Fused Dataset, Global Journal of Computer Science and Technology, Volume 16, Issue 4, 35-46.

  5. Jui-Sheng Chou, H. Ping Tserng, Kuo-Chi Tseng, Chieh Lin  (2015), Public-Private Partnership in Major Taiwan Infrastructure Projects, Public Private Partnership: A Global Review, Chapter 18, Pages 297-312, Edited by Professors Mathias Beck (The University of York), Mohan Kumaraswamy (University of Hong Kong) and Akintola Akintoye (University of Central Lancashire), September 29, 2015, ISBN13：9780415728966, Taylor and Francis. [INVITED BOOK CHAPTER]

  6. Jui-Sheng Chou, Anh-Duc Pham (2013), Applying Smart Meter and Data Mining Techniques to Predict Refrigeration System Performance, Advances in Intelligent Systems and Computing, Volume 209 AISC, May 2013, Pages 249-257. [CONFERENCE PAPER SELECTED IN BOOK CHAPTER]

  7. Wai Kiong Chong, Jui-Sheng Chou (2006), Examining Productivity of Foundation Construction, ASCE Geotechnical Special Publication, Issue No. 153, Foundation Analysis and Design: Innovative Methods, p 300-307.