Items with Index Term: deep learning

Abu Dabous, S; Ibrahim, F and Alzghoul, A (2025) Modelling bridge deterioration using long short-term memory neural networks: A deep learning-based approach. Smart and Sustainable Built Environment, 14(5), pp. 1632-1655. ISSN 2046-6099

Afzal, Muneeb (2024) Improving request for information (RFI) processing in construction projects using natural language processing (NLP) techniques. PhD thesis, University of Technology Sydney, Australia.

Agapaki, E and Brilakis, I (2021) Cloi: An automated benchmark framework for generating geometric digital twins of industrial facilities. Journal of Construction Engineering and Management, 147(11): 04021145, ISSN 0733-9364

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

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 Omari, Mohammad K (2025) Application of the AI-enabled unmanned aerial systems in resolving highway construction claims. PhD thesis, University of Illinois at Chicago, USA.

Aljagoub, D (2025) Enhancing delamination detection and monitoring of concrete bridges through infrared thermography, deep learning, field data, and numerical simulations. PhD thesis, University of Delaware, USA.

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

Amer, F; Koh, H Y and Golparvar-Fard, M (2021) Automated methods and systems for construction planning and scheduling: Critical review of three decades of research. Journal of Construction Engineering and Management, 147(7): 0002093, 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

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.

Ayoubi, M. and Arashpour, M. (2026) Early recognition of workplace hazards using data-efficient multimodal learnable prompting and parameter-efficient fine tuning. Journal of Construction Engineering and Management, 152(10): 04026165, ISSN 0733-9364

Ayoubi, M. and Arashpour, M. (2026) Early recognition of workplace hazards using data-efficient multimodal learnable prompting and parameter-efficient fine tuning. Journal of Construction Engineering and Management, 152(10): 04026165, ISSN 0733-9364

Bittner, Ksenia (2020) Building information extraction and refinement from vhr satellite imagery using deep learning techniques. PhD thesis, Osnabrück University, Germany.

Boyd, D (2013) Using events to connect thinking and doing in knowledge management. Construction Management and Economics, 31(11), pp. 1144-1159. ISSN 1466433X

Cai, W.; Hua, D.; Li, S.; Xue, S. and Xu, Z. (2026) 3D reconstruction of building interiors based on scan-to-BIM and generative design for as-built building. Engineering, Construction and Architectural Management, 33(3), pp. 1959-1979. ISSN 0969-9988

Chan, Y K; Huang, C H; Chao Yi, N; Tseng, H H; Lin, C H; Chang, R F and Chan, M H (2026) A study of detection systems for safety guardrails at construction sites: Innovative applications of image processing and perspective correction. Journal of Construction Engineering and Management, 152(4): 04026018, ISSN 0733-9364

Changwang, S; Shaowei, H; Haifen, Z; Fuqu, P; Changxi, S and Hao, Q (2024) Automatic detection of water supply pipe defects based on underwater image enhancement and improved yolox. Journal of Construction Engineering and Management, 150(10): 04024134, ISSN 0733-9364

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, C; Zhang, Y; Xiao, B; Cheng, M; Zhang, J and Li, H (2024) Deep learning-based image steganography for visual data cybersecurity in construction management. Journal of Construction Engineering and Management, 150(10): 04024125, ISSN 0733-9364

Chen, F-C (2021) Deep learning studies for vision-based condition assessment and attribute estimation of civil infrastructure systems. PhD thesis, Purdue University, USA.

Chen, G (2023) Enhance collaboration reliability at task level for construction projects using blockchain technology. PhD thesis, North Carolina State University, USA.

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

Chen, Y and Ding, C (2024) Multidimensional evolutionary analysis of China's BIM technology policy based on quantitative mapping. Architectural Engineering and Design Management, 20(3), pp. 578-595. ISSN 1745-2007

Chen, Z; Li, T; Qin, L and Jiang, Y (2025) Vision-guided autonomous block loading in a dual-robot collaborative handling framework. Journal of Construction Engineering and Management, 151(5): 04025035, ISSN 0733-9364

Cheng, M. Y.; Khitam, A. F. K.; Vu, Q. T. and Widjaja, D. D. (2026) Satellite-inspired time-frequency deep learning for predicting and assessing financial health in general contractors. Journal of Construction Engineering and Management, 152(8): 04026120, ISSN 0733-9364

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, J C P; Chen, K; Wong, P K Y; Chen, W and Li, C T (2021) Graph-based network generation and CCTV processing techniques for fire evacuation. Building Research & Information, 49(2), pp. 179-196. ISSN 0961-3218

Dabash, M S (2022) Applications of computer vision to improve construction site safety and monitoring. PhD thesis, University of Delaware, 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

Deng, T; Sharafat, A; Lee, S and Seo, J (2024) Automatic vision-based dump truck productivity measurement based on deep-learning illumination enhancement for low-visibility harsh construction environment. Journal of Construction Engineering and Management, 150(11): 04024154, ISSN 0733-9364

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

Elavaar Kuzhali S and Pushpa M K, P (2024) Adaptive deep learning for deep COVID-19 diagnosis. Journal of Engineering, Design and Technology, 22(3), pp. 763-794. ISSN 1726-0531

Elghaish, F; Matarneh, S; Abdellatef, E; Rahimian, F; Hosseini, M R and Farouk Kineber, A (2025) Multi-layers deep learning model with feature selection for automated detection and classification of highway pavement cracks. Smart and Sustainable Built Environment, 14(2), pp. 511-535. ISSN 2046-6099

Elghaish, F; Matarneh, S T and Alhusban, M (2022) The application of "deep learning" in construction site management: Scientometric, thematic and critical analysis. Construction Innovation, 22(3), pp. 580-603. ISSN 1471-4175

Elghaish, F; Matarneh, S T; Talebi, S; Abu-Samra, S; Salimi, G and Rausch, C (2022) Deep learning for detecting distresses in buildings and pavements: A critical gap analysis. Construction Innovation, 22(3), pp. 554-579. ISSN 1471-4175

Elghaish, F; Talebi, S; Abdellatef, E; Matarneh, S T; Hosseini, M R; Wu, S; Mayouf, M; Hajirasouli, A and Nguyen, T Q (2022) Developing a new deep learning CNN model to detect and classify highway cracks. Journal of Engineering, Design and Technology, 20(4), pp. 993-1014. ISSN 1726-0531

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

Erfani, A; Cui, Q and Cavanaugh, I (2021) An empirical analysis of risk similarity among major transportation projects using natural language processing. Journal of Construction Engineering and Management, 147(12): 04021175, 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 (2026) Crack identification and severity analysis via computer vision: Comparative study of rgb and grayscale imagery. Journal of Construction Engineering and Management, 152(3): 04026004, ISSN 0733-9364

Fan, C L (2025) Evaluation model for crack detection with deep learning: Improved confusion matrix based on linear features. Journal of Construction Engineering and Management, 151(3): 04024077, ISSN 0733-9364

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

Gugssa, M; Li, L; Pu, L; Gurbuz, A; Luo, Y and Wang, J (2025) Enabling near-real-time safety glove detection through edge computing and transfer learning: comparative analysis of edge and cloud computing-based methods. Engineering, Construction and Architectural Management, 32(7), pp. 4700-4717. ISSN 0969-9988

Guo, H; Zhang, Z; Yu, R; Sun, Y and Li, H (2023) Action recognition based on 3D skeleton and LSTM for the monitoring of construction workers' safety harness usage. Journal of Construction Engineering and Management, 149(4): 04023015, ISSN 0733-9364

Han, J; Kim, J; Kim, S and Wang, S (2024) Effectiveness of image augmentation techniques on detection of building characteristics from street view images using deep learning. Journal of Construction Engineering and Management, 150(10): 04024129, ISSN 0733-9364

Han, S; Jiang, Y and Bai, Y (2022) Fast-pgmed: Fast and dense elevation determination for earthwork using drone and deep learning. Journal of Construction Engineering and Management, 148(4): 04022008, ISSN 0733-9364

Han, S; Jiang, Y; Huang, Y; Wang, M; Bai, Y and Spool-White, A (2023) Scan2drawing: Use of deep learning for as-built model landscape architecture. Journal of Construction Engineering and Management, 149(5): 04023027, ISSN 0733-9364

Heravi, M Y; Jang, Y and Chauhan, H (2025) Comparative analysis of deep-learning approaches for automatic recognition of awkward postures in construction environments through wrist-worn biosensors. Journal of Construction Engineering and Management, 151(8): 04025108, ISSN 0733-9364

Hou, X; Zeng, Y and Xue, J (2020) Detecting structural components of building engineering based on deep-learning method. Journal of Construction Engineering and Management, 146(2): 04019097, ISSN 0733-9364

Hu, Y; Zhang, M; Ren, W; Li, H; Zhang, J; Wang, L and Shuai, S (2025) Detecting loss of balance in construction workers using millimeter wave sensing. Journal of Construction Engineering and Management, 151(12): 04025202, ISSN 0733-9364

Huang, Q; Chen, Y; Li, Y; Liu, S; Fan, Z; Chen, X and Chen, J (2026) Maco: An open-image data set with multiannotation strategies for building material counting. Journal of Construction Engineering and Management, 152(4): 04026008, ISSN 0733-9364

Jafary, P; Shojaei, D; Rajabifard, A and Ngo, T (2024) BIM and real estate valuation: Challenges, potentials and lessons for future directions. Engineering, Construction and Architectural Management, 31(4), pp. 1642-1677. ISSN 0969-9988

Jallan, Y and Ashuri, B (2020) Text mining of the securities and exchange commission financial filings of publicly traded construction firms using deep learning to identify and assess risk. Journal of Construction Engineering and Management, 146(12): 04020137, ISSN 0733-9364

Jang, Y; Jeong, I and Cho, Y K (2021) Identifying impact of variables in deep learning models on bankruptcy prediction of construction contractors. Engineering, Construction and Architectural Management, 28(10), pp. 3282-3298. ISSN 0969-9988

Jang, Y; Kim, K; Leite, F; Ayer, S and Cho, Y K (2021) Identifying the perception differences of emerging construction-related technologies between industry and academia to enable high levels of collaboration. Journal of Construction Engineering and Management, 147(10): 06021004, ISSN 0733-9364

Jezzini, Y; Assaad, R H and El-Adaway, I H (2025) Modeling framework to quantify and gauge project cost risks due to construction material price volatilities using predictive probabilistic deep-learning algorithms and stochastic risk modeling. Journal of Construction Engineering and Management, 151(7): 04025071, ISSN 0733-9364

Ji, A; Xue, X; Zhang, L; Luo, X and Man, Q (2025) A transformer-based deep learning method for automatic pixel-level crack detection and feature quantification. Engineering, Construction and Architectural Management, 32(4), pp. 2455-2486. ISSN 0969-9988

Jiang, S; Wang, S; Sun, H; Liu, W; Xiao, B; Cha, H S and Zhang, J (2025) Enhancing quality management: Lightweight detection and risk warning of concrete cracks and rebar exposure using improved YOLOv8. Journal of Construction Engineering and Management, 151(8): 04025087, ISSN 0733-9364

Jiang, Y (2020) Determination of elevations for excavation operations using drone technologies. PhD thesis, Marquette University, USA.

Jiang, Y and Bai, Y (2020) Estimation of construction site elevations using drone-based orthoimagery and deep learning. Journal of Construction Engineering and Management, 146(8): 04020086, ISSN 0733-9364

Jin, S. (2026) Dynamics and influences analysis of public concerns in mega construction projects: An integrated topic and sentiment modeling approach. Journal of Construction Engineering and Management, 152(8): 04026104, ISSN 0733-9364

Kamardeen, I (2014) Adaptive e-tutorial for enhancing student learning in construction education. International Journal of Construction Education and Research, 10(2), pp. 79-95. ISSN 1557-8771

Kang, K; Xiao, J and Moon, S (2025) Evaluating safety risks in pedestrian facilities for different ride modes: Application of a deep learning-based 3D scanning system. Journal of Construction Engineering and Management, 151(11): 04025183, ISSN 0733-9364

Kim, J; Kamari, M; Lee, S and Ham, Y (2021) Large-scale visual data-driven probabilistic risk assessment of utility poles regarding the vulnerability of power distribution infrastructure systems. Journal of Construction Engineering and Management, 147(10): 04021121, ISSN 0733-9364

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

Kim, K and Cho, Y K (2021) Automatic recognition of workers' motions in highway construction by using motion sensors and long short-term memory networks. Journal of Construction Engineering and Management, 147(3): 04020184, ISSN 0733-9364

Kor, M; Yitmen, I and Alizadehsalehi, S (2023) An investigation for integration of deep learning and digital twins towards construction 4.0. Smart and Sustainable Built Environment, 12(3), pp. 461-487. ISSN 2046-6099

Korishetti, A. C. and Malemath, V. S. (2026) Optimal block search mechanism using deep recurrent neural network for enabling the code-efficiency in hevc. Journal of Engineering, Design and Technology, 24(4), pp. 35-62. ISSN 1726-0531

Kulatunga, U and Rameezdeen, R (2014) Use of clickers to improve student engagement in learning: Observations from the built environment discipline. International Journal of Construction Education and Research, 10(1), pp. 3-18. ISSN 1557-8771

Laing, Xiaoyun (2025) Communicate, understand, and collaborate: An AI-integrated human-robot collaboration approach to improve safety and productivity in construction. PhD thesis, The University of Texas at San Antonio, USA.

Laura-Portugal, C. and Hammad, A. (2026) Deep learning-based forecasting for construction project duration at completion. International Journal of Construction Management, 26(8), pp. 1543-1561. ISSN 1562-3599

Lee, C and Park, K K H (2022) Forecasting trading volume in local housing markets through a time-series model and a deep learning algorithm. Engineering, Construction and Architectural Management, 29(1), pp. 165-178. ISSN 0969-9988

Lee, Y S; Rashidi, A; Talei, A; Arashpour, M and Pour Rahimian, F (2022) Integration of deep learning and extended reality technologies in construction engineering and management: A mixed review method. Construction Innovation, 22(3), pp. 671-701. ISSN 1471-4175

Leung, M-y; Dongyu, C and Liu M.M., A (2014) Impact of values on the learning approaches of Chinese construction students in Hong Kong. Engineering, Construction and Architectural Management, 21(5), pp. 481-504. ISSN 0969-9988

Li, J.; Chen, Z.; Li, Z.; Kong, L. and Zhang, H. (2026) Integrating computer vision and audio signals for concrete vibration activity recognition and assessment. Journal of Construction Engineering and Management, 152(7): 04026099, ISSN 0733-9364

Li, H; Luo, X and Skitmore, M (2020) Intelligent hoisting with car-like mobile robots. Journal of Construction Engineering and Management, 146(12): 04020136, ISSN 0733-9364

Li, J; Zhou, G; Li, D; Zhang, M and Zhao, X (2023) Recognizing workers' construction activities on a reinforcement processing area through the position relationship of objects detected by faster r-CNN. Engineering, Construction and Architectural Management, 30(4), pp. 1657-1678. ISSN 0969-9988

Li, Q; Yang, Y; Yao, G; Wei, F; Xue, G and Qin, H (2024) Multiobject real-time automatic detection method for production quality control of prefabricated laminated slabs. Journal of Construction Engineering and Management, 150(3): 05023017, ISSN 0733-9364

Li, S; Wang, J and Xu, Z (2025) Automated compliance checking for BIM models based on Chinese-NLP and knowledge graph: An integrative conceptual framework. Engineering, Construction and Architectural Management, 32(6), pp. 3832-3856. ISSN 0969-9988

Liu, C; M.E. Sepasgozar, S; Shirowzhan, S and Mohammadi, G (2022) Applications of object detection in modular construction based on a comparative evaluation of deep learning algorithms. Construction Innovation, 22(1), pp. 141-159. ISSN 1471-4175

Liu, H (2024) Enhancing accuracy and security in BIM-based construction cost management leveraging AI and blockchain technologies. PhD thesis, Hong Kong University of Science and Technology, Hong Kong.

Liu, H; Zhang, F; Ma, R; Wang, L; Chen, Z; Zhang, Q and Guo, L (2024) Intelligent noncontact structural displacement detection method based on computer vision and deep learning. Journal of Construction Engineering and Management, 150(10): 04024127, ISSN 0733-9364

Liu, J; Li, W; Li, F and Zhao, X (2025) Chinese named entity recognition for bridge damage and defects based on text mining and natural language pretraining models. Journal of Construction Engineering and Management, 151(6): 04025060, ISSN 0733-9364

Luo, H (2021) Automated construction machine pose monitoring using computer vision and deep learning for construction site safety. PhD thesis, Hong Kong University of Science and Technology, Hong Kong.

Luo, X; Li, X; Song, X and Liu, Q (2023) Convolutional neural network algorithm-based novel automatic text classification framework for construction accident reports. Journal of Construction Engineering and Management, 149(12): 04023128, ISSN 0733-9364

Mahamivanan, H; Ghassemi, N; Tayarani Darbandy, M; Shoeibi, A; Hussain, S; Nasirzadeh, F; Alizadehsani, R; Nahavandi, D; Khosravi, A and Nahavandi, S (2025) Material recognition for construction quality monitoring using deep learning methods. Construction Innovation, 25(3), pp. 732-760. ISSN 1471-4175

Mansoor, A; Liu, S; Ali, G M; Bouferguene, A and Al-Hussein, M (2023) A deep-learning classification framework for reducing communication errors in dynamic hand signaling for crane operation. Journal of Construction Engineering and Management, 149(2): 4022167, ISSN 0733-9364

Mansuri, L E and Patel, D A (2022) Artificial intelligence-based automatic visual inspection system for built heritage. Smart and Sustainable Built Environment, 11(3), pp. 622-646. ISSN 2046-6099

Marzouk, M and Zaher, M (2020) Artificial intelligence exploitation in facility management using deep learning. Construction Innovation, 20(4), pp. 609-624. ISSN 1471-4175

Mei, X; Zhou, X; Xu, F and Zhang, Z (2023) Human intrusion detection in static hazardous areas at construction sites: Deep learning-based method. Journal of Construction Engineering and Management, 149(1): 04022142, ISSN 0733-9364

Meng, Q and Zhu, S (2022) Construction activity classification based on vibration monitoring data: A supervised deep-learning approach with time series randaugment. Journal of Construction Engineering and Management, 148(9): 04022090, ISSN 0733-9364

Miglioranza, P; Scanu, A; Simionato, G; Sinigaglia, N and Califano, A (2024) Machine learning and engineering feature approaches to detect events perturbing the indoor microclimate in ringebu and heddal stave churches (Norway). International Journal of Building Pathology and Adaptation, 42(1), pp. 35-47. ISSN 23984708

Mirzabeigi, S (2024) Integrated building envelope assessment towards automation of energy retrofits: Drone-based data acquisition, automated thermal anomaly detection, and workflow development. PhD thesis, State University of New York College of Environmental Science and Forestry, USA.

Mohammed Abdelkader, E (2022) On the hybridization of pre-trained deep learning and differential evolution algorithms for semantic crack detection and recognition in ensemble of infrastructures. Smart and Sustainable Built Environment, 11(3), pp. 740-764. ISSN 2046-6099

Mohammed Abdelkader, E; Zayed, T; Elshaboury, N and Taiwo, R (2025) A hybrid Bayesian optimization-based deep learning model for modeling the condition of saltwater pipes in Hong Kong. International Journal of Construction Management, 25(1), pp. 46-62. ISSN 1562-3599

Mostafavi, F; Tahsildoost, M; Zomorodian, Z S and Shahrestani, S S (2024) An interactive assessment framework for residential space layouts using pix2pix predictive model at the early-stage building design. Smart and Sustainable Built Environment, 13(4), pp. 809-827. ISSN 2046-6099

Mousavi, Milad (2025) Evolving and proactive risk modelling in underground working environments. PhD thesis, University of New South Wales, Australia.

Naoui, M A; Lejdel, B; Ayad, M; Amamra, A and kazar, O (2021) Using a distributed deep learning algorithm for analyzing big data in smart cities. Smart and Sustainable Built Environment, 10(1), pp. 90-105. ISSN 2046-6099

Paik, S.; Chung, D.; Kim, Y.; Kim, J. and Kim, H. (2026) Autonomous UAV navigation for close-range image acquisition of scaffold joints. Journal of Construction Engineering and Management, 152(7): 04026081, ISSN 0733-9364

Paik, S; Kim, J; Kim, Y and Kim, H (2025) Safety analysis and localization of scaffold joints using uav-acquired images. Journal of Construction Engineering and Management, 151(12): 04025194, ISSN 0733-9364

Panella, Fabio (2023) Automating inspection of tunnels with photogrammetry and deep learning. PhD thesis, University College London, UK.

Patel, T.; Guo, B. H. W.; van der Walt, J. D. and Bapat, H. (2026) Vision-based automated road construction progress monitoring: Improved u-net segmentation approach. International Journal of Construction Management, 26(10), pp. 2154-2175. ISSN 1562-3599

Patel, T; Guo, B H W; van der Walt, J D and Zou, Y (2025) Unmanned ground vehicle (ugv) based automated construction progress measurement of road using LSTM. Engineering, Construction and Architectural Management, 32(9), pp. 5764-5791. ISSN 0969-9988

Perez-Perez, Y; Golparvar-Fard, M and El-Rayes, K (2021) Scan2bim-net: Deep learning method for segmentation of point clouds for scan-to-BIM. Journal of Construction Engineering and Management, 147(9): 04021107, ISSN 0733-9364

Poudel, O and Assaad, R H (2025) A real-time intelligent acoustic IoT-enabled embedded construction site monitoring and alert system: Integrating deep learning-based machine-listening algorithms, edge computing, and cloud computing. Journal of Construction Engineering and Management, 151(7): 04025075, ISSN 0733-9364

Qi, K. and Lu, M. (2026) A data-driven framework for quantifying physical workload in construction using posture-hour metrics. Journal of Construction Engineering and Management, 152(7): 04026100, ISSN 0733-9364

Qi, L; Zhai, H and Shuang, Q (2026) Attention-driven multiobject tracking for proactive fall safety management in construction. Journal of Construction Engineering and Management, 152(5): 04026052, ISSN 0733-9364

Qiao, J; Wang, C; Guan, S and Shuran, L (2022) Construction-accident narrative classification using shallow and deep learning. Journal of Construction Engineering and Management, 148(9): 04022088, ISSN 0733-9364

Rafiei, M H and Adeli, H (2018) Novel machine-learning model for estimating construction costs considering economic variables and indexes. Journal of Construction Engineering and Management, 144(12): 04018106, ISSN 0733-9364

Ramalingam Rethnam, O. and Thomas, A. (2026) A physics-informed deep learning-based urban building thermal comfort modeling and prediction framework for identifying thermally vulnerable building stock. Smart and Sustainable Built Environment, 15(2), pp. 622-648. ISSN 2046-6099

Rodrigo, N; Omrany, H; Chang, R and Zuo, J (2024) Leveraging digital technologies for circular economy in construction industry: A way forward. Smart and Sustainable Built Environment, 13(1), pp. 85-116. ISSN 2046-6099

Sadick, A M; Hasan, A and Ahiaga-Dagbui, D D (2026) Modeling sustainability discourse in the construction industry: A deep-learning approach. Journal of Construction Engineering and Management, 152(4): 04026026, ISSN 0733-9364

Sadick, A M; Gurmu, A and Gunarathna, C (2025) Artificial intelligence-based pre-conception stage construction budget decision-making model and tool for residential buildings. Engineering, Construction and Architectural Management, 32(7), pp. 4552-4580. ISSN 0969-9988

Saeidlou, S and Ghadiminia, N (2024) A construction cost estimation framework using DNN and validation unit. Building Research & Information, 52(1-2), pp. 38-48. ISSN 0961-3218

Sajadfar, Narges (2022) Application of machine learning to automate classification and information extraction in industrial construction documents. PhD thesis, University of Alberta, Canada.

Sakib, M N; Chaspari, T and Behzadan, A H (2022) A feedforward neural network for drone accident prediction from physiological signals. Smart and Sustainable Built Environment, 11(4), pp. 1017-1041. ISSN 2046-6099

Salhab, D; Pourrahimian, E; Lindhard, S M and Hamzeh, F (2025) Patterns, 4D simulations, and artificial intelligence-driven insights: Redefining construction workspace management. Journal of Construction Engineering and Management, 151(8): 04025099, ISSN 0733-9364

Sanhudo, L P N (2021) Artificial intelligence for an enhanced as-is BIM energy analysis: Enabling an efficient energy retrofit through the automation of the scan-to-BIM process. PhD thesis, Universidade do Porto, Portugal.

Scott, L and Fortune, C (2011) Formative assessment practices in built environment higher education programmes and the enhancement of the student learning experience. In: Egbu, C and Lou, E C W (eds.) Proceedings of 27th Annual ARCOM Conference, 5-7 September 2011, Bristol, UK.

Seong, J; Kim, H s and Jung, H J (2025) Development of a robust hazardous area tracking algorithm for pan-tilt-zoom (ptz) cameras at construction sites under harsh conditions. Engineering, Construction and Architectural Management, 32(13), pp. 384-405. ISSN 0969-9988

Shafi, J.; Ijaz, R.; Kumar, Y. and Ijaz, M. F. (2026) Prediction of air quality levels to support sustainable development goal 11 using multiple deep learning classifiers. Smart and Sustainable Built Environment, 15(5), pp. 1877-1916. ISSN 2046-6099

Shamsollahi, D; Moselhi, O and Khorasani, K (2024) Automated detection and segmentation of mechanical, electrical, and plumbing components in indoor environments by using the yolact++ architecture. Journal of Construction Engineering and Management, 150(8): 04024100, ISSN 0733-9364

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