Items with Index Term: mean square error

Abu-Mahfouz, E; Al-Dahidi, S; Gharaibeh, E and Alahmer, A (2025) A novel feature engineering-based hybrid approach for precise construction cost estimation using fuzzy-AHP and artificial neural networks. International Journal of Construction Management, 25(15), pp. 1800-1810. ISSN 1562-3599

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

Antwi-Afari, M F; Li, H; Seo, J; Anwer, S; Yevu, S K and Wu, Z (2020) Validity and reliability of a wearable insole pressure system for measuring gait parameters to identify safety hazards in construction. Engineering, Construction and Architectural Management, 28(6), pp. 1761-1779. ISSN 0969-9988

Ariyachandra, M F (2021) Automating the generation of geometric information models to support digital twinning of existing rail infrastructure. PhD thesis, University of Cambridge, UK.

Benjaoran, V; Dawood, N and Scott, D (2004) Bespoke precast productivity estimation with neural network model. In: Khosrowshahi, F (ed.) Proceedings of 20th Annual ARCOM Conference, 1-3 September 2004, Edinburgh, UK.

Chen, H; Feng, Z; Liu, Y; Chen, B; Deng, T; Qin, Y and Xu, W (2023) Multiobjective optimization of a 3D laser scanning scheme for engineering structures based on rf-NSGA-II. Journal of Construction Engineering and Management, 149(2): 4022169, ISSN 0733-9364

Cheung, F K T; Wong, M W L and Skitmore, M (2008) A study of clients' and estimators' tolerance towards estimating errors. Construction Management and Economics, 26(4), pp. 349-362. ISSN 1466433X

Cui, L Z; Liu, J; Luo, H; Wang, J; Zhang, X; Lv, G and Xie, Q (2024) Deformation measurement of tunnel shotcrete liner using the multiepoch lidar point clouds. Journal of Construction Engineering and Management, 150(6): 04024049, ISSN 0733-9364

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

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

Edwards, D J; Nicholas, J and Sharp, R (2001) Forecasting UK construction plant sales. Engineering, Construction and Architectural Management, 8(3), pp. 171-176. ISSN 0969-9988

El Sawalhi, N I H (2007) Developing a model for construction contractors pre-qualification in the Gaza Strip and West Bank. PhD thesis, University of Salford, UK.

El-Sawalhi, N; Eaton, D and Rustom, R (2008) Forecasting contractor performance using a neural network and genetic algorithm in a pre-qualification model. Construction Innovation, 8(4), pp. 280-298. ISSN 1471-4175

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

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

Helaly, H; El-Rayes, K; Ignacio, E J and Joan, H J (2025) Comparison of machine-learning algorithms for estimating cost of conventional and accelerated bridge construction methods during early design phase. Journal of Construction Engineering and Management, 151(3): 04025004, ISSN 0733-9364

Hwang, J.; Bagh, S. and Han, K. (2026) Toward automated SLAM-to-BIM for digital twin applications: BIM-assisted 360-degree camera-based visual SLAM using reference point-based bundle adjustment. Journal of Construction Engineering and Management, 152(10): 04026161, ISSN 0733-9364

Jin, B and Xu, X (2025) Rental price index forecasts of residential properties using Gaussian process regressions. Journal of Financial Management of Property and Construction, 30(3), pp. 416-454. ISSN 1366-4387

Kim, J M; Yum, S G; Adhikari, M D and Bae, J (2024) A LSTM algorithm-driven deep learning approach to estimating repair and maintenance costs of apartment buildings. Engineering, Construction and Architectural Management, 31(13), pp. 369-389. ISSN 0969-9988

Maghrebi, M; Shamsoddini, A and Waller, S T (2016) Fusion-based learning approach for predicting concrete pouring productivity based on construction and supply parameters. Construction Innovation, 16(2), pp. 185-202. ISSN 1471-4175

Meharie, M G; Mengesha, W J; Gariy, Z A and Mutuku, R N N (2022) Application of stacking ensemble machine learning algorithm in predicting the cost of highway construction projects. Engineering, Construction and Architectural Management, 29(7), pp. 2836-2853. ISSN 0969-9988

Oloke, D; Edwards, D J; Wright, B and Love, P E D (2006) A web-based information management system for predicting the breakdown of off-highway plant. Journal of Engineering, Design and Technology, 4(1), pp. 29-45. ISSN 1726-0531

Padala, S P S and Goyal, A (2025) Early stage cost prediction model for Indian building construction projects using artificial neural networks. Journal of Financial Management of Property and Construction, 30(3), pp. 377-397. ISSN 1366-4387

Rakesh Kumar, G (2025) Seismic vulnerability assessment of buildings using rapid visual screening for hybrid UMNN-RFO approach. International Journal of Construction Management, 25(10), pp. 1177-1185. ISSN 1562-3599

Shahedi, F; Etemadfard, H; Omrani, F and Ghalehnovi, M (2024) Cost performance modeling for steel fabrication shops with machine learning algorithms. Journal of Construction Engineering and Management, 150(9): 04024114, ISSN 0733-9364

Shao, B; Meng, J and Che, W (2025) Long-term energy usage prediction in public buildings using aggregated modal decomposition and gru. Journal of Construction Engineering and Management, 151(8): 04025092, ISSN 0733-9364

Sohrabi, H and Noorzai, E (2024) Risk-supported case-based reasoning approach for cost overrun estimation of water-related projects using machine learning. Engineering, Construction and Architectural Management, 31(2), pp. 544-570. ISSN 0969-9988

Sun, Y.; Lin, K.; Wang, J.; Zhu, F.; Wang, L. and Lu, L. (2026) Risk assessment of mountain tunnel entrance collapse based on pso-LSTM surface settlement prediction. Engineering, Construction and Architectural Management, 33(3), pp. 2586-2605. ISSN 0969-9988

Tomrukcu, G; Kizildag, H; Avgan, G; Dal, O; Ganic Saglam, N; Ozdemir, E and Ashrafian, T (2026) A systematic approach to manual calibration and validation of building energy simulation. Smart and Sustainable Built Environment, 15(1), pp. 203-230. ISSN 2046-6099

Utama, W P; Chan, A P C; Zahoor, H; Gao, R and Jumas, D Y (2019) Making decision toward overseas construction projects: An application based on adaptive neuro fuzzy system. Engineering, Construction and Architectural Management, 26(2), pp. 285-302. ISSN 0969-9988

Xu, X and Zhang, Y (2024) Office property price index forecasting using neural networks. Journal of Financial Management of Property and Construction, 29(1), pp. 52-82. ISSN 1366-4387

Yeung, D K L and Skitmore, M (2005) Data pooling for early-stage price forecasts. In: Khosrowshahi, F (ed.) Proceedings of 21st Annual ARCOM Conference, 7-9 September 2005, London, UK.