Items with Index Term: intelligent system

AbdelRazig, Y A and Chang, L M (2000) Intelligent model for constructed facilities surface assessment. Journal of Construction Engineering and Management, 126(6), pp. 422-432. ISSN 0733-9364

Adjei-Kumi, T (1997) The development of an intelligent system for visual simulation of construction projects. PhD thesis, University of Strathclyde, UK.

Agha, R H M (2016) The role of intelligent systems in traditional courtyard houses in Baghdad, Iraq. PhD thesis, University of Newcastle upon Tyne, UK.

Al-Kaabi, N S (2006) A fuzzy-based construction safety advisor (CSA) for construction safety in the United Arab Emirates. PhD thesis, Ohio State University, USA.

Anumba, C J; Abdullah, A and Ruikar, K (2008) An integrated system for demolition techniques selection. Architectural Engineering and Design Management, 4(2), pp. 130-148. ISSN 1745-2007

Ayeni, Reuben Ebenmosi (2025) Intelligent project duration estimating system: An AI-based predictive approach for construction time estimation. PhD thesis, London South Bank University, UK.

Bu-Qammaz, A S A S (2015) Risk management model for international public construction joint venture projects in Kuwait. PhD thesis, Ohio State University, USA.

Burfoot, M; GhaffarianHoseini, A; Ghaffarianhoseini, A and Naismith, N (2024) Passive variable acoustic technology for classroom reverberation time: A case study. Smart and Sustainable Built Environment, 13(6), pp. 1450-1472. ISSN 2046-6099

Chun, S and Nam, K (2022) Analyzation and prioritization of healthcare environment criteria for designing geriatric long-term care private hospitals in South Korea using an analytic hierarchy process. Architectural Engineering and Design Management, 18(5), pp. 723-738. ISSN 1745-2007

Elmousalami, H H (2020) Artificial intelligence and parametric construction cost estimate modeling: State-of-the-art review. Journal of Construction Engineering and Management, 146(1): 03119008, ISSN 0733-9364

Fiener, Y (2011) An intelligent system for vulnerability and remediation assessment of flooded residential buildings. PhD thesis, Loughborough University, UK.

Georgy, M E; Chang, L M and Zhang, L (2005) Prediction of engineering performance: A neurofuzzy approach. Journal of Construction Engineering and Management, 131(5), pp. 548-557. ISSN 0733-9364

Isah, M A and Kim, B S (2025) Question-answering system powered by knowledge graph and generative pretrained transformer to support risk identification in tunnel projects. Journal of Construction Engineering and Management, 151(1): 04024193, ISSN 0733-9364

Joy Vasantha Rani, S P and Aruna Prabha, K (2010) Stochastic logic computation based rbfnn with adaptive hidden layer structure. Journal of Engineering, Design and Technology, 8(2), pp. 206-220. ISSN 1726-0531

Lan, Roy Uzoma (2025) Advancing workplace safety through intelligent monitoring: Applications of artificial intelligence and computer vision in high-risk industrial environments. PhD thesis, The University of Texas at San Antonio, USA.

Lekan, A; Aigbavboa, C and Emetere, M (2023) Managing quality control systems in intelligence production and manufacturing in contemporary time. International Journal of Construction Management, 23(8), pp. 1436-1446. ISSN 1562-3599

Lewis, J A; Odeyinka, H and Eadie, R (2011) Innovative construction procurement selection through an artificial intelligence approach. In: Egbu, C and Lou, E C W (eds.) Proceedings of 27th Annual ARCOM Conference, 5-7 September 2011, Bristol, UK.

Mahmood, N A (2021) Real-time site safety risk assessment and intervention for on-foot building construction workers using RFID-based multi-sensor intelligent system. PhD thesis, Ohio State University, USA.

Moselhi, O; Hegazy, T and Fazio, P (1991) Neural networks as tools in construction. Journal of Construction Engineering and Management, 117(4), pp. 606-625. ISSN 0733-9364

Pan, N-F S (2001) Fuzzy reasoning expert scheduling system (FRESS) for highway construction subject to rain impact: A case study in Taiwan. PhD thesis, Ohio State University, USA.

Parisi, Fabio (2023) Automation and information approaches to support maintenance and production management in the construction industry. PhD thesis, Politecnico di Bari, Italy.

Peng, L.; Yang, H.; Ju, A.; Li, X. and Jiang, Z. (2026) Data-driven real-time digital twin framework for tunnel boring machine monitoring. Journal of Construction Engineering and Management, 152(9): 04026134, ISSN 0733-9364

Perng, Y-H (1988) An intelligent system approach for construction risk identification. PhD thesis, University of Texas at Austin, USA.

Sayah, Z; Kazar, O; Lejdel, B; Laouid, A and Ghenabzia, A (2021) An intelligent system for energy management in smart cities based on big data and ontology. Smart and Sustainable Built Environment, 10(2), pp. 169-192. ISSN 2046-6099

Shahandashti, S M; Razavi, S N; Soibelman, L; Berges, M; Caldas, C H; Brilakis, I; Teizer, J; Vela, P A; Haas, C; Garrett, J; Akinci, B and Zhu, Z (2011) Data-fusion approaches and applications for construction engineering. Journal of Construction Engineering and Management, 137, pp. 863-869. ISSN 0733-9364

Simmonds, D M (2015) Information technology and sustainability: An empirical study of the value of the building automation system. PhD thesis, University of South Florida, USA.

Tan, Y (2006) A case-based reasoning approach to improve risk identification in construction projects. PhD thesis, University of Leeds, UK.

Tan, Y; Smith, N J and Bower, D A (2003) Improving risk identification by utilizing hybrid intelligent reasoning. In: Greenwood, D J (ed.) Proceedings of 19th Annual ARCOM Conference, 3-5 September 2003, Brighton, UK.

Teo, A L E; Ofori, G; Tjandra, I K and Kim, H (2016) Design for safety: Theoretical framework of the safety aspect of BIM system to determine the safety index. Construction Economics and Building, 16(4), pp. 1-18. ISSN 2204-9029

Tseng, C-H (2006) Safety performance analyzer for constructed environments (SPACE). PhD thesis, Ohio State University, USA.

Ugwu, O O; Anumba, C J and Thorpe, A (2001) Ontology development for agent-based collaborative design. Engineering, Construction and Architectural Management, 8(3), pp. 211-224. ISSN 0969-9988