Items with Index Term: machine learning

Abbasianjahromi, H and Aghakarimi, M (2023) Safety performance prediction and modification strategies for construction projects via machine learning techniques. Engineering, Construction and Architectural Management, 30(3), pp. 1146-1164. ISSN 0969-9988

AbdElMottaleb, Mohamed (2025) AI in project management: Machine learning application for construction scheduling. PhD thesis, University of Salford, UK.

Abdelkader, E M; Moselhi, O; Marzouk, M and Zayed, T (2021) Integrative evolutionary-based method for modeling and optimizing budget assignment of bridge maintenance priorities. Journal of Construction Engineering and Management, 147(9): 04021100, ISSN 0733-9364

Abdelmassih, A; Faddoul, R and Geara, F (2023) Impact of autonomous solutions on earthmoving electrification using machine learning: Case study. Construction Innovation, 23(3), pp. 606-621. ISSN 1471-4175

Abruzzini, A and Abrishami, S (2022) Integration of BIM and advanced digital technologies to the end of life decision-making process: A paradigm of future opportunities. Journal of Engineering, Design and Technology, 20(2), pp. 388-413. ISSN 1726-0531

Abu Dabous, S; Alzghoul, A and Ibrahim, F (2025) Intelligent condition prediction model for bridge infrastructure based on evaluating machine learning algorithms. Smart and Sustainable Built Environment, 14(2), pp. 557-576. ISSN 2046-6099

Abusnina, H (2019) Combining engineering and data-driven approaches to model the risk of excavation damage to underground natural gas facilities. PhD thesis, Rutgers The State University of New Jersey, School of Graduate Studies, USA.

Acheamfour, V K; Adjei-Kumi, T and Kissi, E (2023) Contractor selection: A review of qualification and pre-qualification systems. International Journal of Construction Management, 23(2), pp. 338-348. ISSN 1562-3599

Adedokun, O; Egbelakin, T and Omotayo, T (2024) Random forest and path diagram taxonomies of risks influencing higher education construction projects. International Journal of Construction Management, 24(1), pp. 66-74. ISSN 1562-3599

Adinyira, E; Adjei, E A G; Agyekum, K and Fugar, F D K (2021) Application of machine learning in predicting construction project profit in Ghana using support vector regression algorithm (svra). Engineering, Construction and Architectural Management, 28(5), pp. 1491-1514. ISSN 0969-9988

Aghili, S. A.; Khanzadi, M.; Haji Mohammad Rezaei, A. and Rahbar, M. (2026) Data-driven approach to fault detection for hospital HVAC system. Smart and Sustainable Built Environment, 15(2), pp. 765-788. ISSN 2046-6099

Aghimien, D; Aghimien, E I; Aigbavboa, C O; Aliu, J O; Oke, A E and Chan, D W M (2026) Strategies for enhancing construction digitalisation: A machine learning-based sensitivity analysis. Engineering, Construction and Architectural Management, 33(15), pp. 115-136. ISSN 0969-9988

Aghimien, D; Aigbavboa, C O; Chan, D W M and Aghimien, E I (2024) Determinants of cloud computing deployment in South African construction organisations using structural equation modelling and machine learning technique. Engineering, Construction and Architectural Management, 31(3), pp. 1037-1060. ISSN 0969-9988

Ahmed, M O; Khalef, R; Ali, G G and El-Adaway, I H (2021) Evaluating deterioration of tunnels using computational machine learning algorithms. Journal of Construction Engineering and Management, 147(10): 04021125, ISSN 0733-9364

Ahn, Sang Jun (2019) Transportation framework in panelized construction for residential building. PhD thesis, University of Alberta, Canada.

Akhavian, Reza (2015) Data-driven simulation modeling of construction and infrastructure operations using process knowledge discovery. PhD thesis, University of Central Florida, USA.

Akomea-Frimpong, I; Dzagli, J R A D; Eluerkeh, K; Bonsu, F B; Opoku-Brafi, S; Gyimah, S; Asuming, N A S; Atibila, D W and Kukah, A S (2025) A systematic review of artificial intelligence in managing climate risks of PPP infrastructure projects. Engineering, Construction and Architectural Management, 32(4), pp. 2430-2454. ISSN 0969-9988

Al Jassmi, H; Al Ahmad, M and Ahmed, S (2021) Automatic recognition of labor activity: A machine learning approach to capture activity physiological patterns using wearable sensors. Construction Innovation, 21(4), pp. 555-575. ISSN 1471-4175

Al-Aomar, R; AlTal, M and Abel, J (2024) A data-driven predictive maintenance model for hospital HVAC system with machine learning. Building Research & Information, 52(1-2), pp. 207-224. ISSN 0961-3218

Al-Tabtabai, H and Alex, A P (1999) Using genetic algorithms to solve optimization problems in construction. Engineering, Construction and Architectural Management, 6(2), pp. 121-132. ISSN 0969-9988

AlTalhoni, A; Alwashah, Z; Liu, H; Abudayyeh, O; Kwigizile, V and Kirkpatrick, K (2026) Data-driven identification of key pricing factors in highway construction cost estimation during economic volatility. International Journal of Construction Management, 26(1), pp. 152-167. ISSN 1562-3599

Algarni, S K (2022) Machine learning for improved detection and segmentation of building boundary. PhD thesis, Cardiff University, UK.

Alharbi, E A and Alsehaimi, A (2025) Machine learning model to predict the cooling load of mosque buildings during the design stage. International Journal of Construction Management, 25(8), pp. 965-979. ISSN 1562-3599

Ali, B; Aibinu, A A and Paton-Cole, V (2024) Closing the information gaps: A systematic review of research on delay and disruption claims. Construction Innovation, 24(3), pp. 790-810. ISSN 1471-4175

Alikhani, H; Le, C; Jeong, H D and Damnjanovic, I (2023) Sequential machine learning for activity sequence prediction from daily work report data. Journal of Construction Engineering and Management, 149(9): 04023082, ISSN 0733-9364

Alkaissy, Maryam (2022) Worksite accidents quantification in construction: Safety relations with project performance metrics. PhD thesis, Monash University, Australia.

Alnaqbi, A; Al-Khateeb, G G and Zeiada, W (2025) Machine learning applications for predicting longitudinal cracking in continuously reinforced concrete pavement. Construction Economics and Building, 25(1), pp. 143-170. ISSN 2204-9029

Alqady, M (2012) Leveraging text content for management of construction project documents. PhD thesis, Purdue University, USA.

Alshboul, O and Shehadeh, A (2026) Adaptive integration of BIM and Navisworks for real-time clash detection using the XGBoost algorithm. Journal of Construction Engineering and Management, 152(1): 04025232, ISSN 0733-9364

Alshboul, O; Shehadeh, A; Al-Kasasbeh, M; Al Mamlook, R E; Halalsheh, N and Alkasasbeh, M (2022) Deep and machine learning approaches for forecasting the residual value of heavy construction equipment: A management decision support model. Engineering, Construction and Architectural Management, 29(10), pp. 4153-4176. ISSN 0969-9988

Alshboul, O; Shehadeh, A and Tamimi, M (2025) Sustainability-focused pavement management under climate variability. Journal of Construction Engineering and Management, 151(7): 04025076, ISSN 0733-9364

Alsubaey, M H (2017) A hybrid machine learning and text-mining approach for the automated generation of early warnings in construction project management. PhD thesis, Cranfield University, UK.

Altalhoni, A; Liu, H; Abudayyeh, O; Kwigizile, V; Huang, W C and Kirkpatrick, K (2025) Robust forecasting models for highway construction cost indices during pandemic-era inflation. Journal of Construction Engineering and Management, 151(8): 04025101, ISSN 0733-9364

Altawil, Shadi N A (2017) Multi-level knowledge extraction and modeling to support job hazard analysis process for oil and gas pipeline projects. PhD thesis, University of Alberta, Canada.

Altun, M (2024) Data-driven and knowledge-assisted model-based frameworks for supporting facility maintenance. PhD thesis, Middle East Technical University, Turkey.

Aluko, R O; Adenuga, O A; Kukoyi, P O; Soyingbe, A A and Oyedeji, J O (2016) Predicting the academic success of architecture students by pre-enrolment requirement: Using machine-learning techniques. Construction Economics and Building, 16(4), pp. 86-98. ISSN 2204-9029

Alves, J. L.; Almeida Filho, A. T. D.; Bradaschia, F. and Palha, R. P. (2026) Solarisbim.AI: Smart sustainable building planning with BIM-based solar-production estimation using machine-learning radiation forecasts. Journal of Construction Engineering and Management, 152(6): 04026076, ISSN 0733-9364

Alzubi, Y; Aljaafreh, A and Khatatbeh, A (2024) Application of machine learning techniques in estimating the construction cost of residential buildings in the middle East region. International Journal of Construction Management, 24(9), pp. 946-958. ISSN 1562-3599

Andalib, M (2026) Predictive modelling for contract selection in construction through data mining and machine learning: Insights from agency theory. International Journal of Construction Education and Research, 22(1), pp. 138-163. ISSN 1557-8771

Antwi-Afari, M F; Li, H; Umer, W; Yu, Y and Xing, X (2020) Construction activity recognition and ergonomic risk assessment using a wearable insole pressure system. Journal of Construction Engineering and Management, 146(7): 04020077, ISSN 0733-9364

Anwer, S; Li, H; Umer, W; Antwi-Afari, M F; Mehmood, I; Yu, Y; Haas, C and Wong, A Y L (2023) Identification and classification of physical fatigue in construction workers using linear and nonlinear heart rate variability measurements. Journal of Construction Engineering and Management, 149(7): 04023057, ISSN 0733-9364

Arakawa Martins, L; Soebarto, V; Williamson, T and Pisaniello, D (2022) Personal thermal comfort models: A deep learning approach for predicting older people's thermal preference. Smart and Sustainable Built Environment, 11(2), pp. 245-270. ISSN 2046-6099

Arida, M A (2024) Enhancing thermal comfort in commercial buildings: Contributions of machine learning algorithms for optimizing predictive thermal comfort indices. PhD thesis, North Carolina Agricultural and Technical State University, USA.

Asare, O; Obi, L and Thurairajah, N (2024) Leveraging circular economy applications in the offsite construction sector through artificial intelligence: A scientometric review. In: Thomson, C (ed.) Proceedings of 40th Annual ARCOM Conference, 2-4 September 2024, London South Bank University, UK.

Asghari, V and Hsu, S C (2022) Upscaling complex project-level infrastructure intervention planning to network assets. Journal of Construction Engineering and Management, 148(1): 04021188, ISSN 0733-9364

Assaf, G and Assaad, R H (2024) A data-driven decision-support tool for selecting the optimal project delivery method for bundled projects: Integrating machine learning and expert domain knowledge. Journal of Construction Engineering and Management, 150(12): 04024181, ISSN 0733-9364

Avci, A B (2026) Machine learning-based prediction of thermal comfort: Exploring building types, climate, ventilation strategies, and seasonal variations. Building Research & Information, 54(1), pp. 100-117. ISSN 0961-3218

Awe, O O; Atofarati, E O; Adeyinka, M O; Musa, A P and Onasanya, E O (2024) Assessing the factors affecting building construction collapse casualty using machine learning techniques: A case of Lagos, Nigeria. International Journal of Construction Management, 24(3), pp. 261-269. ISSN 1562-3599

Ayat, M; Ullah, M; Pervez, Z; Lawrence, J; Kang, C W and Ullah, A (2025) Analyzing the differential impact of variables on the success of solicited and unsolicited private participation in infrastructure projects using machine learning techniques. Engineering, Construction and Architectural Management, 32(12), pp. 7909-7937. ISSN 0969-9988

Aydin, Y C and Mirzaei, P A (2022) A novel mathematical model to measure individuals' perception of the symmetry level of building facades. Architectural Engineering and Design Management, 18(3), pp. 261-278. ISSN 1745-2007

Aydinli, S (2024) Impact of unexpected conditions on construction cost forecasting performance: evidence from Europe. Construction Management and Economics, 42(9), pp. 787-801. ISSN 01446193

Ayhan, M (2019) Development of dispute prediction and resolution method selection models for construction disputes. PhD thesis, Middle East Technical University, Turkey.

Ayhan, M; Dikmen, I and Talat Birgonul, M (2021) Predicting the occurrence of construction disputes using machine learning techniques. Journal of Construction Engineering and Management, 147(4): 04021022, ISSN 0733-9364

Ayinla, K; Saka, A; Seidu, R and Madanayake, U (2023) The impact of artificial intelligence on construction costing practice. In: Tutesigensi, A and Neilson, C J (eds.) Proceedings of 39th Annual ARCOM Conference, 4-6 September 2023, University of Leeds, Leeds, UK.

Bai, S; Li, M; Lu, Q; Tian, H and Qin, L (2022) Global time optimization method for dredging construction cycles of trailing suction hopper dredger based on grey system model. Journal of Construction Engineering and Management, 148(2): 04021198, ISSN 0733-9364

Baker, H (2021) A multimethod approach to learning from text-based construction failure data. PhD thesis, University of Edinburgh, UK.

Baker, H; Smith, S; Masterton, G and Hewlett, B (2020) Data-led learning: Using natural language processing (NLP) and machine learning to learn from construction site safety failures. In: Scott, L and Neilson, C J (eds.) Proceedings of 36th Annual ARCOM Conference, 7-8 September 2020, Online Event, UK.

Barros, Natalia Nakamura (2024) Integrative model of life cycle assessment with internet of things, BIM and machine learning. PhD thesis, Universidade Estadual de Campinas, Brazil.

Basaran, Y.; Aladag, H. and Isik, Z. (2026) Machine learning-based dynamic model for on-site subcontractor performance management. Engineering, Construction and Architectural Management, 33(7), pp. 5592-5624. ISSN 0969-9988

Bateman, G L (2021) A holistic model of emergency evacuations in large, complex, public occupancy buildings. PhD thesis, Imperial College London, UK.

Bayhan, H G (2025) Transaction costs in construction project team communications: Language model and network science applications. PhD thesis, Michigan State University, USA.

Bertolin, C and Berto, F (2024) Sustainable management of heritage buildings in long-term perspective (symbol): Current knowledge and further research needs. International Journal of Building Pathology and Adaptation, 42(1), pp. 1-17. ISSN 23984708

Biswas, P K; Khan, S M; Piratla, K and Chowdhury, M (2023) Development and evaluation of statistical and machine-learning models for queue-length estimation for lane closures in freeway work zones. Journal of Construction Engineering and Management, 149(5): 04023023, ISSN 0733-9364

Bokor, O (2022) Improving labour productivity in construction. A hybrid machine learning approach. PhD thesis, University of Northumbria at Newcastle, UK.

Bortey, L; Edwards, D J; Roberts, C and Rillie, I (2025) Unravelling incipient accidents: A machine learning prediction of incident risks in highway operations. Smart and Sustainable Built Environment, 14(6), pp. 1991-2022. ISSN 2046-6099

Bosch-Sijtsema, P; Claeson-Jonsson, C; Johansson, M and Roupe, M (2021) The hype factor of digital technologies in AEC. Construction Innovation, 21(4), pp. 899-916. ISSN 1471-4175

Broday, E E and Gameiro da Silva, M C (2023) The role of internet of things (IoT) in the assessment and communication of indoor environmental quality (IEQ) in buildings: A review. Smart and Sustainable Built Environment, 12(3), pp. 584-606. ISSN 2046-6099

Brooks Williams, L C (2024) Artificial intelligence/machine learning as a tool for project management enhancement: A qualitative study on the future of technology in increasing the effectiveness of project managers. DIT thesis, Capella University, USA.

Candaş, A B (2022) Multipurpose semantic analysis of construction text documentation. PhD thesis, Middle East Technical University, Turkey.

Candaş, A B and Tokdemir, O B (2022) Automated identification of vagueness in the FIDIC silver book conditions of contract. Journal of Construction Engineering and Management, 148(4): 04022007, ISSN 0733-9364

Candaş, A B and Tokdemir, O B (2022) Automating coordination efforts for reviewing construction contracts with multilabel text classification. Journal of Construction Engineering and Management, 148(6): 04022027, ISSN 0733-9364

Charuvil Elizabeth, R M; Sattari, F; Lefsrud, L and Gue, B (2025) Reducing serious injuries and fatalities in industrial construction-application of machine learning to analyze emotional intelligence and psychosocial factors. International Journal of Construction Management, 25(12), pp. 1404-1414. ISSN 1562-3599

Chellappa, V and Luximon, Y (2026) Computer-aided technologies for posture-based ergonomic risk assessment in construction: A systematic review. International Journal of Construction Management, 26(2), pp. 316-331. ISSN 1562-3599

Chen, J. H.; Shen, L. and Yu, T. (2026) Predicting manpower allocation for landscape construction projects using xgboost and shap. Engineering, Construction and Architectural Management, pp. 1-19. ISSN 0969-9988

Chen, J. H.; Shen, L. and Yu, T. (2026) Predicting manpower allocation for landscape construction projects using xgboost and shap. Engineering, Construction and Architectural Management, pp. 1-19. ISSN 0969-9988

Chen, Kaiwen (2020) Analysis and management of UAV-captured images towards automation of building facade inspections. PhD thesis, Virginia Tech, USA.

Chen, T Y-J (2019) Advancing quantitative risk analysis for critical water infrastructure. PhD thesis, University of Michigan, USA.

Chen, W (2019) Integration of building information modeling and internet of things for facility maintenance management. PhD thesis, Hong Kong University of Science and Technology, Hong Kong.

Chen, W; Hu, C; Zou, R; Yang, Q; Chen, Y; Xing, J and Mou, C (2025) Evolutionary method of digital twin model for building physics mechanism. Architectural Engineering and Design Management, 21(2), pp. 356-378. ISSN 1745-2007

Cheng, M. Y.; Sholeh, M. N. and Poetra, B. A. (2026) Predicting the construction cost-time tradeoff using optimized hybrid deep learning for risk preference decision making. International Journal of Construction Management, 26(10), pp. 2018-2044. ISSN 1562-3599

Cheng, M. Y. and Vu, Q. T. (2026) Bidirectional revolving gate Fourier transform: A newly spectrum deep machine learning for enhancing construction worker safety classification. Engineering, Construction and Architectural Management, pp. 1-28. ISSN 0969-9988

Cheng, M. Y. and Vu, Q. T. (2026) Bidirectional revolving gate Fourier transform: A newly spectrum deep machine learning for enhancing construction worker safety classification. Engineering, Construction and Architectural Management, pp. 1-28. ISSN 0969-9988

Cheng, M Y; Vu, Q T; Dessalegn, M and Chen, J H (2025) Time-dependent rebar price prediction for procurement decision-making using bio-optimized deep machine learning. Engineering, Construction and Architectural Management, 32(12), pp. 7938-7971. ISSN 0969-9988

Cho, C; Kim, K; Park, J and Cho, Y K (2018) Data-driven monitoring system for preventing the collapse of scaffolding structures. Journal of Construction Engineering and Management, 144(8): 04018077, ISSN 0733-9364

Cho, Sung Eun (2025) Machine learning approaches for improving construction materials and pavement systems. PhD thesis, Virginia Polytechnic Institute and State University, USA.

Chokwitthaya, C (2020) A framework for augmenting building performance models using machine learning and immersive virtual environment. PhD thesis, Louisiana State University and Agricultural & Mechanical College, USA.

Chou, J. S.; Yeh, P. C.; Liu, C. Y. and Chen, K. J. (2026) Improving detection of pollution fee declarations for environmental policy compliance through metaheuristic-optimized ensemble learning. Engineering, Construction and Architectural Management, 33(7), pp. 5820-5848. ISSN 0969-9988

Cleary, J (2024) Data driven insights into building project performance and outcomes through advanced data analytics. PhD thesis, Arizona State University, USA.

Cotella, V A; Neagu, C D; Bavani, S A; Trichard, M; Horcholle, F; Sangoï, R; Lacalle, C; Jeanvoine, A; Sparrow, T and Wilson, A S (2025) Optimising 3D point cloud semantic segmentation: ML and manual refinement in the unesco saltaire village. Building Research & Information, 53(7), pp. 846-870. ISSN 0961-3218

Cusumano, L; Farmakis, O; Granath, M; Olsson, N; Jockwer, R and Rempling, R (2025) Current benefits and future possibilities with digital field reporting. International Journal of Construction Management, 25(5), pp. 572-583. ISSN 1562-3599

Damirchilo, F (2021) Use of machine learning and data science on infrastructure transportation and construction projects. PhD thesis, Arizona State University, USA.

Dang-Trinh, N; Duc-Thang, P; Nguyen-Ngoc Cuong, T and Duc-Hoc, T (2023) Machine learning models for estimating preliminary factory construction cost: Case study in southern Vietnam. International Journal of Construction Management, 23(16), pp. 2879-2887. ISSN 1562-3599

Daniel, C and Neufville, E K (2025) An autogluon-enabled robust machine learning model for concrete tensile and compressive strength forecast. International Journal of Construction Management, 25(13), pp. 1636-1647. ISSN 1562-3599

Danso, A. K.; Edwards, D. J.; Adjei, E. K.; Adjei-Kumi, T.; Owusu-Manu, D. G.; Fianoo, S. I. and Thwala, W. D. (2026) Analysis of the underlying factors affecting BIM-LCA integration in the Ghanaian construction industry: A factor analysis approach. Construction Innovation, 26(3), pp. 871-891. ISSN 1471-4175

Daoud, A O; KhairEldin, M; Ibrahim, A H and Toma, H M (2026) Adaptive neuro-fuzzy inference system for Egyptian residential construction waste prediction. International Journal of Construction Management, 26(6), pp. 1059-1077. ISSN 1562-3599

Darko, A; Glushakova, I; Boateng, E B and Chan, A P C (2023) Using machine learning to improve cost and duration prediction accuracy in green building projects. Journal of Construction Engineering and Management, 149(8): 04023061, ISSN 0733-9364

Deepa, G; Niranjana, A J and Balu, A S (2025) A hybrid machine learning approach for early cost estimation of pile foundations. Journal of Engineering, Design and Technology, 23(1), pp. 306-322. ISSN 1726-0531

Do, Q; Le, T and Le, C (2024) Uncovering critical causes of highway work zone accidents using unsupervised machine learning and social network analysis. Journal of Construction Engineering and Management, 150(3): 04023168, ISSN 0733-9364

Dobrucali, E; Sadikoglu, E; Demirkesen, S; Zhang, C; Tezel, A and Kiral, I A (2024) A bibliometric analysis of digital technologies use in construction health and safety. Engineering, Construction and Architectural Management, 31(8), pp. 3249-3282. ISSN 0969-9988

Doczy, R (2018) Risk-benefit analysis and optimization of LEED-certified school buildings design and construction: Statisitical and machine learning approaches. PhD thesis, Florida State University, USA.

Doğan, S Z (2005) Using machine learning techniques for early cost prediction of structural systems of buildings. PhD thesis, Izmir Institute of Technology, Turkey.

Dong, Z.; Lu, W.; Wu, L.; Jiang, C. and Fu, Y. (2026) Efficiency-enhanced machine learning on blockchain (MLOB) framework for real-time construction activities recognition. Engineering, Construction and Architectural Management, pp. 1-19. ISSN 0969-9988

Duan, P; Zhou, J and Tao, S (2023) Risk events recognition using smartphone and machine learning in construction workers' material handling tasks. Engineering, Construction and Architectural Management, 30(8), pp. 3562-3582. ISSN 0969-9988

Egwim, C N; Alaka, H; Egunjobi, O O; Gomes, A and Mporas, I (2024) Comparison of machine learning algorithms for evaluating building energy efficiency using big data analytics. Journal of Engineering, Design and Technology, 22(4), pp. 1325-1350. ISSN 1726-0531

Egwim, C N; Alaka, H; Pan, Y; Balogun, H; Ajayi, S; Hye, A and Egunjobi, O O (2025) Ensemble of ensembles for fine particulate matter pollution prediction using big data analytics and IoT emission sensors. Journal of Engineering, Design and Technology, 23(2), pp. 640-665. ISSN 1726-0531

Egwim, C N; Alaka, H; Toriola-Coker, L O; Balogun, H; Ajayi, S and Oseghale, R (2023) Extraction of underlying factors causing construction projects delay in Nigeria. Journal of Engineering, Design and Technology, 21(5), pp. 1323-1342. ISSN 1726-0531

Ekanayake, B; Ahmadian Fard Fini, A; Wong, J K W and Smith, P (2024) A deep learning-based approach to facilitate the as-built state recognition of indoor construction works. Construction Innovation, 24(4), pp. 933-949. ISSN 1471-4175

Eken, G (2022) Using natural language processing for automated construction contract review during risk assessment at the bidding stage. PhD thesis, Middle East Technical University, Turkey.

El-adaway, I H; Ali, G G; Eissa, R; Abdul Nabi, M; Ahmed, M O; Elbashbishy, T and Khalef, R (2023) Construction Management and Economics 40th anniversary: Investigating knowledge structure and evolution of research trends. Construction Management and Economics, 41(4), pp. 338-360. ISSN 01446193

ElAlem, M A; Mahdi, I M; Mohamadien, H A and Hosny, S (2025) Forecasting scope creep in Egyptian construction projects: An evaluation using artificial neural network (ANN) and random forest models. International Journal of Construction Management, 25(16), pp. 2082-2101. ISSN 1562-3599

Elelu, K; Le, T and Le, C (2023) Collision hazard detection for construction worker safety using audio surveillance. Journal of Construction Engineering and Management, 149(1): 04022159, ISSN 0733-9364

Elkholosy, H; Ead, R; Hammad, A and AbouRizk, S (2024) Data mining for forecasting labor resource requirements: A case study of project management staffing requirements. International Journal of Construction Management, 24(5), pp. 561-572. ISSN 1562-3599

Elmousalami, H H; Elyamany, A H and Ibrahim, A H (2018) Predicting conceptual cost for field canal improvement projects. Journal of Construction Engineering and Management, 144(11): 04018102, ISSN 0733-9364

Elnabwy, M T; Khalaf, D; Mlybari, E A and Elbeltagi, E (2025) An integrated machine learning approach for evaluating critical success factors influencing project portfolio management adoption in the construction industry. Engineering, Construction and Architectural Management, 32(11), pp. 7449-7468. ISSN 0969-9988

Elnady, Ahmed Abdelrady Okasha Mohamed (2023) An integrated framework for balancing contractor's workload versus capacity using system dynamics. PhD thesis, University of Alberta, Canada.

Elshaboury, N; Mohammed Abdelkader, E and Al-Sakkaf, A (2025) Convolutional neural network-based deep learning model for air quality prediction in october city of Egypt. Construction Innovation, 25(2), pp. 620-640. ISSN 1471-4175

Elshaboury, N; Mohammed Abdelkader, E; Al-Sakkaf, A and Bagchi, A (2025) A deep convolutional neural network for predicting electricity consumption at grey nuns building in Canada. Construction Innovation, 25(2), pp. 270-289. ISSN 1471-4175

Elsherbiny, A (2021) Prediction of design error rework cost in EPC industrial projects. DEng thesis, George Washington University, USA.

Eslamirad, N; Malekpour Kolbadinejad, S; Mahdavinejad, M and Mehranrad, M (2020) Thermal comfort prediction by applying supervised machine learning in green sidewalks of Tehran. Smart and Sustainable Built Environment, 9(4), pp. 361-374. ISSN 2046-6099

Ezzeddine, A; Shehab, L; Lucko, G and Hamzeh, F (2022) Forecasting construction project performance with momentum using singularity functions in LPS. Journal of Construction Engineering and Management, 148(8): 04022063, ISSN 0733-9364

Fahmy, K A; Yahya, A and Zorkany, M (2022) A decision support healthcare system based on IoT and neural network technique. Journal of Engineering, Design and Technology, 20(3), pp. 727-748. ISSN 1726-0531

Fan, C L (2020) Defect risk assessment using a hybrid machine learning method. Journal of Construction Engineering and Management, 146(9): 04020102, ISSN 0733-9364

Fan, X (2024) Artificial intelligence aided resilient and sustainable water infrastructure systems. PhD thesis, Case Western Reserve University, USA.

Fang, Z (2022) Machine learning integrated portfolio-based strategic building asset management. PhD thesis, University College London, UK.

Fardhosseini, M S (2021) A quantitative analysis of the impact of integrating digital technology for formwork fabrication on human factors perspectives. PhD thesis, University of Washington, USA.

Farooq, M. and Paracha, A. T. (2026) Cost prediction of road construction projects in Pakistan using machine learning. International Journal of Construction Management, 26(8), pp. 1442-1470. ISSN 1562-3599

Fayek, A R (2020) Fuzzy logic and fuzzy hybrid techniques for construction engineering and management. Journal of Construction Engineering and Management, 146(7): 04020064, ISSN 0733-9364

Fazeli, A; Banihashemi, S; Hajirasouli, A and Mohandes, S R (2024) Automated 4D BIM development: The resource specification and optimization approach. Engineering, Construction and Architectural Management, 31(5), pp. 1896-1922. ISSN 0969-9988

Feng, K (2020) Environmentally friendly construction processes under uncertainty assessment, optimisation and robust decision-making. PhD thesis, Luleå University of Technology, Sweden.

Fernando, A; Siriwardana, C; Law, D; Gunasekara, C; Zhang, K and Gamage, K (2026) A scoping review and analysis of green construction research: A machine learning aided approach. Smart and Sustainable Built Environment, 15(1), pp. 62-91. ISSN 2046-6099

Foudah, A; Tarek, M; Essam, S; El Hawary, M; Adel, K and Marzouk, M (2026) Digital twin publications in construction (2017–2023): A bibliometrics-based visualization analysis. Construction Innovation, 26(1), pp. 147-172. ISSN 1471-4175

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Zangeneh, P (2021) Knowledge representation and artificial intelligence for management of socio-technical risks in megaprojects. PhD thesis, University of Toronto, Canada.

Zara, R B; Moro, G N; Martins, R d S V and Giglio, T G F (2025) Application of a decision tree approach to predict energy consumption in lightweight buildings under subtropical climate. Smart and Sustainable Built Environment, 14(7), pp. 2069-2089. ISSN 2046-6099

Zeng, C S (2025) Decision under intensity-based costs in large-scale systems. PhD thesis, Princeton University, USA.

Zeng, S; Chung, F and Ashuri, B (2024) Forecasting right-of-way (ROW) acquisition timeline of transportation projects. Built Environment Project and Asset Management, 14(2), pp. 129-146. ISSN 2044-124X

Zhang, F (2022) A hybrid structured deep neural network with word2vec for construction accident causes classification. International Journal of Construction Management, 22(6), pp. 1120-1140. ISSN 1562-3599

Zhang, M; Cao, T and Zhao, X (2019) Using smartphones to detect and identify construction workers' near-miss falls based on ann. Journal of Construction Engineering and Management, 145(1): 04018120, ISSN 0733-9364

Zhang, M; Cheng, W and Wang, Y (2018) Multiple-fault classification for hot-mix asphalt production by machine learning. Journal of Construction Engineering and Management, 144(5): 04018024, ISSN 0733-9364

Zhang, Xutong (2025) Physics-guided machine learning for condition assessment of building structures in operational environments. PhD thesis, University of Technology Sydney, Australia.

Zhang, Y; Chang, R; Mao, W; Zuo, J; Zhang, W E and Liu, L (2025) Low-cost ios-based automated detection of under-construction interior drywalls: An exploratory study. Journal of Construction Engineering and Management, 151(10): 05025012, ISSN 0733-9364

Zhang, Y; Liu, L; Song, Z; Zhao, Y and He, S (2024) Enhancing tunnel boring machine penetration rate predictions through particle swarm optimization and elman neural networks. Journal of Construction Engineering and Management, 150(9): 04024116, ISSN 0733-9364

Zhang, Y; Minchin, R E; Flood, I and Ries, R J (2023) Preliminary cost estimation of highway projects using statistical learning methods. Journal of Construction Engineering and Management, 149(5): 04023026, ISSN 0733-9364

Zhao, J (2020) Towards a proactive real-time data-driven musculoskeletal disorders prevention approach in construction. PhD thesis, Pennsylvania State University, USA.

Zhao, Y (2023) Sustainability, acceptance risk analysis and machine learning in assessing mechanical properties and the impact of highway materials in transportation infrastructure. PhD thesis, University of Maryland, College Park, USA.

Zheng, Y; Tang, L and Chau, K W (2025) BIM investment decision model (BIDM): Evaluation of features and proposal of a regression model based on the LASSO method. Journal of Financial Management of Property and Construction, 30(2), pp. 232-255. ISSN 1366-4387

Zhou, G (2021) Machine learning-based cost predictive model for better operating expenditure estimations of U.S. light rail transit projects. EngD thesis, George Washington University, USA.

Zhou, T; Zhu, Q; Shi, Y and Du, J (2022) Construction robot teleoperation safeguard based on real-time human hand motion prediction. Journal of Construction Engineering and Management, 148(7): 04022040, ISSN 0733-9364

Zhu, X (2023) Machine learning supported multiple criteria decision making for project delivery system selection. PhD thesis, Queen's University Belfast, UK.

de Pinho Matos, Raquel Valente (2024) Building condition assessment applied to public buildings. PhD thesis, Universidade de Aveiro, Portugal.

Çalışkan, E B (2022) A data-driven requirement elicitation system for pre-project stage. PhD thesis, Middle East Technical University, Turkey.

Özer, S and Jacoby, S (2022) Dwelling size and usability in London: A study of floor plan data using machine learning. Building Research & Information, 50(6), pp. 694-708. ISSN 0961-3218

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