Items with Subject: computer vision

Number of items: 289.

AbdelRazig, Y A (1999) Construction quality assessment: A hybrid decision support model using image processing and neural learning for intelligent defects recognition. PhD thesis, Purdue University, USA.

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

Abeid, J and Arditi, D (2003) Photo-net: An integrated system for controlling construction progress. Engineering, Construction and Architectural Management, 10(3), pp. 162-171. ISSN 0969-9988

Aggarwal, A; Rani, A and Kumar, M (2020) A robust method to authenticate car license plates using segmentation and ROI based approach. Smart and Sustainable Built Environment, 9(4), pp. 737-747. ISSN 2046-6099

Ahmadian Fard Fini, A; Maghrebi, M; Forsythe, P J and Waller, T S (2022) Using existing site surveillance cameras to automatically measure the installation speed in prefabricated timber construction. Engineering, Construction and Architectural Management, 29(2), pp. 573-600. ISSN 0969-9988

Ahmed Memon, Z; Zaimi, M A M and Mustaffar, M (2007) A systematic procedure for developing the 3D model to evaluate the construction project progress. Construction Innovation, 7(2), pp. 187-199. ISSN 1471-4175

Akanmu, A; Olayiwola, J and Olatunji, O A (2020) Musculoskeletal disorders within the carpentry trade: Analysis of timber flooring subtasks. Engineering, Construction and Architectural Management, 27(9), pp. 2577-2590. ISSN 0969-9988

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

Akinlolu, M; Haupt, T C; Edwards, D J and Simpeh, F (2022) A bibliometric review of the status and emerging research trends in construction safety management technologies. International Journal of Construction Management, 22(14), pp. 2699-2711. ISSN 1562-3599

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

Alateeq, A; Elmedany, W; Ababneh, N and Curran, K (2022) Secure energy aware routing protocol for ieee 802.15.4 wireless sensor networks. Journal of Engineering, Design and Technology, 20(3), pp. 569-594. ISSN 1726-0531

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

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.

Alves, N M F and Bártolo, P J S (2002) Reversing design through computer vision. In: Greenwood, D (ed.) Proceedings of 18th Annual ARCOM Conference, 2-4 September 2002, Northumbria, UK.

Alzubi, K. M.; Alaloul, W. S.; Al Salaheen, M.; Musarat, M. A.; Baarimah, A. O. and Mushtaha, A. W. (2025) Indoor construction productivity assessment using computer vision and mask region-based convolutional neural networks. Construction Innovation, 26(5), pp. 1523-1555. ISSN 1471-4175

Anwer, S; Li, H; Antwi-Afari, M F; Mirza, A M; Rahman, M A; Mehmood, I; Guo, R and Wong, A Y L (2024) Evaluation of data processing and artifact removal approaches used for physiological signals captured using wearable sensing devices during construction tasks. Journal of Construction Engineering and Management, 150(1): 03123008, ISSN 0733-9364

Anwer, S; Li, H; Antwi-Afari, M F; Umer, W; Mehmood, I and Wong, A Y L (2022) Effects of load carrying techniques on gait parameters, dynamic balance, and physiological parameters during a manual material handling task. Engineering, Construction and Architectural Management, 29(9), pp. 3415-3438. ISSN 0969-9988

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

Arowoiya, V A; Oke, A E; Aigbavboa, C O and Aliu, J (2020) An appraisal of the adoption internet of things (IoT) elements for sustainable construction. Journal of Engineering, Design and Technology, 18(5), pp. 1193-1208. ISSN 1726-0531

Awolusi, I G (2017) Active construction safety leading indicator data collection and evaluation. PhD thesis, University of Alabama, USA.

Ayeleso, A O and van Zyl, R R (2016) Photocurrents obtained from a triple planar probe sensor for in situ extreme ultraviolet (euv) radiation measurements on low earth orbiting cubesats. Journal of Engineering, Design and Technology, 14(3), pp. 641-651.

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

Baek, F; Sohn, J; Bae, J; Kim, D and Lee, S (2026) Physical, cognitive, and emotional responses and their interrelated effects on human-robot team performance in construction. Journal of Construction Engineering and Management, 152(1): 04025224, ISSN 0733-9364

Bailey, D (2016) A performance evaluation of mainstream timber framed and traditional masonry housing in the UK. PhD thesis, University of Nottingham, UK.

Bangaru, S S (2021) Fatigue monitoring through wearable sensors for construction workers. PhD thesis, Louisiana State University and Agricultural & Mechanical College, USA.

Bangaru, S S; Wang, C; Zhou, X; Jeon, H W and Li, Y (2020) Gesture recognition-based smart training assistant system for construction worker earplug-wearing training. Journal of Construction Engineering and Management, 146(12): 04020144, ISSN 0733-9364

Bao, S; Bu, H and Rui, N (2025) Computer vision-based recognition of spatial relevance between engineering vehicles and workers for monitoring struck-by accidents. Journal of Construction Engineering and Management, 151(11): 04025163, ISSN 0733-9364

Bebelaar, N; Braggaar, R C; Kleijwegt, C M; Meulmeester, R W E; Michailidou, G; Salheb, N; van der Spek, S; Vaissier, N and Verbree, E (2018) Monitoring urban environmental phenomena through a wireless distributed sensor network. Smart and Sustainable Built Environment, 7(1), pp. 68-79. ISSN 2046-6099

Brilakis, I (2005) Content based integration of construction site images in AEC/FM model based systems. PhD thesis, University of Illinois at Urbana-Champaign, USA.

Brilakis, I and Soibelman, L (2006) Multimodal image retrieval from construction databases and model-based systems. Journal of Construction Engineering and Management, 132(7), pp. 777-785. ISSN 0733-9364

Broadhurst, S J (2000) Non-man-entry sewer renovation robot characteristics. PhD thesis, Sheffield Hallam University, UK.

Bruno, Silvana (2019) The implementation of automatic diagnostics and monitoring towards diagnosis-aided historic building information modelling and management. PhD thesis, Politecnico di Bari, Italy.

Chai, Y T and Wang, T K (2023) Evaluation and decision-making framework for concrete surface quality based on computer vision and ontology. Engineering, Construction and Architectural Management, 30(10), pp. 4881-4913. 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

Chan, A P C; Chan, D W M and Yeung, J F Y (2009) Overview of the application of "fuzzy techniques" in construction management research. Journal of Construction Engineering and Management, 135(11), pp. 1241-1252. ISSN 0733-9364

Chandrasiri, A P and Geekiyanage, D (2018) Real-time object detection system for building energy conservation: An IP camera-based system. In: Gorse, C and Neilson, C J (eds.) Proceedings of 34th Annual ARCOM Conference, 3-5 September 2018, Queen’s University, Belfast, UK.

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

Chen, L; Lu, Q and Zhao, X (2022) A semi-automatic image-based object recognition system for constructing as-is IFC BIM objects based on fuzzy-maut. International Journal of Construction Management, 22(1), pp. 51-65. ISSN 1562-3599

Chen, Q; Long, D; Wang, S; Chen, Q and Yuan, B (2025) Real-time detection of personal protective equipment violations for construction workers using semisupervised learning and video clips. Journal of Construction Engineering and Management, 151(3): 04024213, ISSN 0733-9364

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. 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

Chi, S and Caldas, C H (2012) Image-based safety assessment: Automated spatial safety risk identification of earthmoving and surface mining activities. Journal of Construction Engineering and Management, 138(3), pp. 341-351. ISSN 0733-9364

Cho, Y; Kabassi, K; Pyeon, J H; Choi, K; Wang, C and Norton, T (2013) Effectiveness study of methods for removing temporary pavement markings in roadway construction zones. Journal of Construction Engineering and Management, 139(3), pp. 257-266. ISSN 0733-9364

Cho, Y K; Bode, T; Song, J and Jeong, J H (2012) Thermography-driven distress prediction from hot mix asphalt road paving construction. Journal of Construction Engineering and Management, 138(2), pp. 206-214. ISSN 0733-9364

Cho, Y-K (2000) Human-assisted rapid workspace modeling for construction equipment operations. PhD thesis, University of Texas at Austin, USA.

Christodoulou, S (2010) Bid mark-up selection using artificial neural networks and an entropy metric. Engineering, Construction and Architectural Management, 17(4), pp. 424-439. ISSN 0969-9988

Colwell, D A F and Ariaratnam, S T (2003) Evaluation of high-density polyethylene pipe installed using horizontal directional drilling. Journal of Construction Engineering and Management, 129(1), pp. 47-55. ISSN 0733-9364

Cui, B; Wang, C; Li, Y; Li, H; Li, C and Cui, B (2024) Image enhancement-based detection of concrete cracks under turbid water bodies. Architectural Engineering and Design Management, 20(6), pp. 1687-1708. ISSN 1745-2007

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

Dayan, V; Chileshe, N and Hassanli, R (2022) A scoping review of information-modeling development in bridge management systems. Journal of Construction Engineering and Management, 148(9): 03122006, ISSN 0733-9364

De Oliveira, A L and Prudêncio, L R (2015) Evaluation of the superficial texture of concrete pavers using digital image processing. Journal of Construction Engineering and Management, 141(10): 04015034, ISSN 0733-9364

Deng, H; Hong, H; Luo, D; Deng, Y and Su, C (2020) Automatic indoor construction process monitoring for tiles based on BIM and computer vision. Journal of Construction Engineering and Management, 146(1): 04019095, ISSN 0733-9364

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

Dinesh, C P; Bari, A U; Dissanayake, R P G and Tamura, M (2013) Detecting and assessment of tsunami building damage using high-resolution satellite images with GIS data. International Journal of Disaster Resilience in the Built Environment, 4(2), pp. 132-144. ISSN 1759-5916

Domdouzis, K; Anumba, C and Thorpe, A (2004) Wireless sensor networking in the construction industry: Prospects and problems. In: Khosrowshahi, F (ed.) Proceedings of 20th Annual ARCOM Conference, 1-3 September 2004, Edinburgh, UK.

Eiris, R; Albeaino, G; Gheisari, M; Benda, W and Faris, R (2021) Indrone: A 2D-based drone flight behavior visualization platform for indoor building inspection. Smart and Sustainable Built Environment, 10(3), pp. 438-456. ISSN 2046-6099

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

El Ghandour, W (2007) Integrated information-based construction simulation system. PhD thesis, University of Alberta, Canada.

El Ghandour, Wael (2007) Integrated information-based construction simulation system (iicss). PhD thesis, University of Alberta, Canada.

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

Elazouni, A and Salem, O A (2011) Progress monitoring of construction projects using pattern recognition techniques. Construction Management and Economics, 29(4), pp. 355-370. ISSN 1466433X

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

Esmaeili, I; Poças Martins, J and Castro, J M (2026) Computer vision-based CAD to BIM design change management: Case of building's lightings. International Journal of Construction Management, 26(2), pp. 234-255. ISSN 1562-3599

Eyssautier-Chuine, S; Mouhoubi, K; Reffuveille, F and Bodnar, J L (2020) Thermographic imaging for early detection of biocolonization on buildings. Building Research & Information, 48(8), pp. 856-865. ISSN 0961-3218

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

Ferguson, M (2020) Improving mobile robot navigation with dynamic building information models and stochastic neural control. PhD thesis, Stanford University, USA.

Frei, M (2021) Data-driven building retrofit using a wireless sensor network. DSc thesis, ETH Zürich, Switzerland.

Garmston, H M (2017) Decision-making in the selection of retrofit facades for non-domestic buildings. PhD thesis, University of Plymouth, UK.

Garmston H, F M and Pan W, d W P (2013) Multi-storey building retrofit with a focus on the façade selection process: A UK commercial office case study. In: Smith, S D and Ahiaga-Dagbui, D D (eds.) Proceedings of 29th Annual ARCOM Conference, 2-4 September 2013, Reading, UK.

Golizadeh, H; Hosseini, M R; Martek, I; Edwards, D; Gheisari, M; Banihashemi, S and Zhang, J (2020) Scientometric analysis of research on “remotely piloted aircraft”: A research agenda for the construction industry. Engineering, Construction and Architectural Management, 27(3), pp. 634-657. ISSN 0969-9988

Golparvar-Fard, M; Peña-Mora, F and Savarese, S (2011) Integrated sequential as-built and as-planned representation with D 4AR tools in support of decision-making tasks in the AEC/FM industry. Journal of Construction Engineering and Management, 137(12), pp. 1099-1116. ISSN 0733-9364

Gong, J (2009) An object recognition, tracking, and contextual reasoning based video interpretation methodology for rapid productivity analysis of construction operations. PhD thesis, University of Texas at Austin, USA.

Goodhew, J; Goodhew, S; Auburn, T; Wilde, P D and Pahl, S (2009) A preliminary investigation of the potential for thermographic images to influence householders understanding of home energy consumption. In: Dainty, A R J (ed.) Proceedings of 25th Annual ARCOM Conference, 7-9 September 2009, Nottingham, UK.

Goodhew, S; Latour, J M; Duthie, J; Shirreff, H; Riddlestone, P; Metcalfe, J and Fox, M (2020) Hospital ward temperatures related to hypothermic risk in orthopaedic patients. Building Research & Information, 48(3), pp. 286-300. ISSN 0961-3218

Grey Rodriguez, F C (2019) Space-mate: A framework to harmonize occupant well-being and building sustainability. PhD thesis, Stanford University, USA.

Griffiths, P W; Norton, B; Eames, P C and Lo, S N G (1996) Detailed simulation of heat transfer across planar evacuated glazing. Building Research & Information, 24(3), pp. 141-147. ISSN 0961-3218

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

Ham, Y (2015) Vision-based building energy diagnostics and retrofit analysis using 3D thermography and building information modeling. PhD thesis, University of Illinois at Urbana-Champaign, USA.

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; 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

Hegazy, T M (1994) Integrated bid preparation with emphases on risk assessment using neural networks. PhD thesis, Concordia University, Canada.

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

Hidalgo-Sánchez, F M; Torres-González, M; Mascort-Albea, E J; Canivell, J; Romero-Hernández, R and Martín-del-Río, J J (2023) NDT spatial data integration for monumental buildings: Technical information management for the royal alcazar of seville. Building Research & Information, 51(6), pp. 625-647. ISSN 0961-3218

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, Q; Bai, Y; He, L; Cai, Q; Tang, S; Ma, G; Tan, J and Liang, B (2020) Intelligent framework for worker-machine safety assessment. Journal of Construction Engineering and Management, 146(5): 04020045, 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

Huang, H; Hu, H; Xu, F and Zhang, Z (2024) Kinesiology-inspired assessment of intrusion risk based on human motion features. Journal of Construction Engineering and Management, 150(7): 04024072, ISSN 0733-9364

Huang, Mengqi (2022) BIM for underground stations: Supporting decision making on lifecycle stages. PhD thesis, Monash University, Australia.

Hughes, A J (2022) On risk-based decision-making for structural health monitoring. PhD thesis, University of Sheffield, UK.

Hussein, D (2020) A user preference modelling method for the assessment of visual complexity in building façade. Smart and Sustainable Built Environment, 9(4), pp. 483-501. ISSN 2046-6099

Hwang, Y; Kim, T; Ryu, J and Yang, K (2025) Collaborative bricklaying with a robotic arm using a head-mounted camera in construction. Journal of Construction Engineering and Management, 151(12): 04025204, ISSN 0733-9364

Ibrahim, Abdullahi Alabi (2024) Construction workers' situational awareness: Investigating the role of physical fatigue, workplace dynamism, and emerging technologies. PhD thesis, Texas A&M University, USA.

Ibrahim, Y M (2008) Developing a model for vision-based progress measurement and visualisation of as-built construction operations. PhD thesis, Heriot-Watt University, UK.

Ibrahim, Y M (2010) On the measurement of work in progress using computer vision: A computerised reporting model. Journal of Engineering, Design and Technology, 8(1), pp. 45-63. ISSN 1726-0531

Ismail, S (2013) Analyzing coordination function within a governance structure: Evidence from case studies of selected housing projects in Malaysia. PhD thesis, University of Malaya, Malaysia.

Jacob, J C; Pandit, D and Sen, J (2025) Developing a validated simulation model of micro-zonal air-conditioning to evaluate thermal comfort parameters. Architectural Engineering and Design Management, 21(2), pp. 289-314. ISSN 1745-2007

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

Jang, W S (2007) Embedded system for construction material tracking using combination of radio frequency and ultrasound signal. PhD thesis, University of Maryland, College Park, USA.

Jebelli, H; Choi, B and Lee, S H (2019) Application of wearable biosensors to construction sites. I: Assessing workers' stress. Journal of Construction Engineering and Management, 145(12): 04019079, ISSN 0733-9364

Jeelani, I (2019) Improving safety performance in construction using visual data analytics and virtual reality. PhD thesis, North Carolina State University, USA.

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, Ziang (2025) Advancing scan-vs-BIM in progress monitoring of infrastructure construction. PhD thesis, University of New South Wales, Australia.

Jiang, Ziang (2025) Advancing scan-vs-bim in progress monitoring of infrastructure construction. PhD thesis, University of New South Wales, Australia.

John, S T; Sarkar, P and Davis, R (2023) A long-range wide-area network system for monitoring early-age concrete compressive strength. Journal of Construction Engineering and Management, 149(1): 04022148, ISSN 0733-9364

John Samuel, I (2023) A human-centered infrastructure asset management framework using BIM and augmented reality. PhD thesis, George Mason University, USA.

Jung, Y; Oh, H and Jeong, M M (2019) An approach to automated detection of structural failure using chronological image analysis in temporary structures. International Journal of Construction Management, 19(2), pp. 178-185. ISSN 1562-3599

Kamari, M and Ham, Y (2025) Advancing 3D object detection and segmentation in construction jobsites using an open vocabulary approach. Journal of Construction Engineering and Management, 151(10): 04025141, ISSN 0733-9364

Karsten Winther, J; Nielsen, R; Schultz, C and Teizer, J (2021) Automated activity and progress analysis based on non-monotonic reasoning of construction operations. Smart and Sustainable Built Environment, 10(3), pp. 457-486. ISSN 2046-6099

Khan, M; Khalid, R; Anjum, S; Tran, S V T and Park, C (2022) Fall prevention from scaffolding using computer vision and IoT-based monitoring. Journal of Construction Engineering and Management, 148(7): 04022051, ISSN 0733-9364

Kim, D.; Yang, J.; Lee, D.; Lee, D.; Rahimian, F. and Park, C. (2026) Blockchain-enhanced computer vision approach for remote safety inspection in construction. Engineering, Construction and Architectural Management, 33(3), pp. 1907-1931. ISSN 0969-9988

Kim, H (2002) Knowledge discovery and machine learning in construction project databases. PhD thesis, University of Illinois at Urbana-Champaign, USA.

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

Kiyang, S T and van Zyl, R (2014) Empirical investigation of wireless sensor network performance in noisy environments. Journal of Engineering, Design and Technology, 12(1), pp. 29-38. ISSN 1726-0531

Kobayashi, Y (2001) Three-dimensional city modeler with fuzzy multiple layers perceptron: Application of soft computing in computer-aided architectural design systems. PhD thesis, University of California, Los Angeles, USA.

Konstantinou, E (2018) Vision-based construction worker task productivity monitoring. PhD thesis, University of Cambridge, UK.

Konstantinou, E and Brilakis, I (2018) Matching construction workers across views for automated 3D vision tracking on-site. Journal of Construction Engineering and Management, 144(7): 04018061, ISSN 0733-9364

Kou, J.; Zhou, Z.; Guo, L.; Yang, Y.; Han, Y.; Zhang, C. and Ni, X. (2026) Multiangle computer vision-based assessment of work-related musculoskeletal disorders in construction workers. Journal of Construction Engineering and Management, 152(9): 04026141, ISSN 0733-9364

Kumar, B S; Santhi, S G and Narayana, S (2022) Sailfish optimizer algorithm (SFO) for optimized clustering in wireless sensor network (WSN). Journal of Engineering, Design and Technology, 20(6), pp. 1449-1467. 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.

Lee, D (2023) Development of a real-time automated mobile robotic welding system in construction. PhD thesis, North Carolina State University, USA.

Lee, D; Khan, N and Park, C (2023) Rigorous analysis of safety rules for vision intelligence-based monitoring at construction jobsites. International Journal of Construction Management, 23(10), pp. 1768-1778. ISSN 1562-3599

Lee, J and Ham, Y (2021) Physiological sensing-driven personal thermal comfort modelling in consideration of human activity variations. Building Research & Information, 49(5), pp. 512-524. ISSN 0961-3218

Lee, W (2018) Use of wearable sensors to unveil roles of task demands-personal resources and burnout on performance of construction workers. PhD thesis, University of Washington, USA.

Lee, W; Lin, K Y; Johnson, P W and Seto, E Y W (2022) Selection of wearable sensor measurements for monitoring and managing entry-level construction worker fatigue: A logistic regression approach. Engineering, Construction and Architectural Management, 29(8), pp. 2905-2923. ISSN 0969-9988

Li, F; Xu, X; Zhou, J; Chen, J and Zhou, S (2026) Automatic generation of inspection knowledge for highway construction via the integration of computer vision and ontology reasoning. Engineering, Construction and Architectural Management, 33(1), pp. 73-97. 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, L; Cui, X; Wang, J; Jin, H and Xu, H (2026) Automated tracking of worker and heavy equipment on tunnel construction sites: Deep-learning framework. Journal of Construction Engineering and Management, 152(2): 04025237, ISSN 0733-9364

Li, X; Yang, X; Feng, K and Liu, C (2025) Automatic monitoring the risk coupling of foundation pits: Integrated point cloud, computer vision and Bayesian networks approach. Engineering, Construction and Architectural Management, 32(9), pp. 6233-6267. ISSN 0969-9988

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, Y and Chen, J (2022) Computer vision-based counting model for dense steel pipe on construction sites. Journal of Construction Engineering and Management, 148(1): 04021178, ISSN 0733-9364

Liang, Y and Xu, Z (2025) Intelligent inspection of appearance quality for precast concrete components based on improved YOLO model and multi-source data. Engineering, Construction and Architectural Management, 32(3), pp. 1691-1714. ISSN 0969-9988

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Zhang, H; Yan, X; Li, H; Jin, R and Fu, H (2019) Real-time alarming, monitoring, and locating for non-hard-hat use in construction. Journal of Construction Engineering and Management, 145(3): 04019006, ISSN 0733-9364

Zhang, M; Cao, Z; Yang, Z and Zhao, X (2020) Utilizing computer vision and fuzzy inference to evaluate level of collision safety for workers and equipment in a dynamic environment. Journal of Construction Engineering and Management, 146(6): 04020051, ISSN 0733-9364

Zhang, M and Ge, S (2022) Vision and trajectory-based dynamic collision prewarning mechanism for tower cranes. Journal of Construction Engineering and Management, 148(7): 04022057, ISSN 0733-9364

Zhang, M; Liu, X and Li, Y (2025) Identity-based proactive human intrusion management in hazardous areas at construction sites: A deep learning-based method. Journal of Construction Engineering and Management, 151(6): 04025045, ISSN 0733-9364

Zhang, S; Bogus, S M; Lippitt, C D; Kamat, V and Lee, S (2022) Implementing remote-sensing methodologies for construction research: An unoccupied airborne system perspective. Journal of Construction Engineering and Management, 148(9): 03122005, ISSN 0733-9364

Zhang, S; Liu, C; Feng, K; Xia, C; Wang, Y and Wang, Q (2025) Computer vision-based real-time monitoring for swivel construction of bridges: From laboratory study to a pilot application. Engineering, Construction and Architectural Management, 32(6), pp. 3630-3658. ISSN 0969-9988

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; Ren, X; Zhang, J and Ma, Z (2024) A method for deformation detection and reconstruction of shield tunnel based on point cloud. Journal of Construction Engineering and Management, 150(3): 04024006, ISSN 0733-9364

Zhao, W.; Li, K.; Liu, G.; Chen, B.; Fan, M. and Yin, S. (2026) A three-stage intelligent crack detection method for concrete bridges based on deep neural networks. Journal of Construction Engineering and Management, 152(6): 04026067, ISSN 0733-9364

Zhao, J; Cao, Y and Xiang, Y (2024) Pose estimation method for construction machine based on improved alphapose model. Engineering, Construction and Architectural Management, 31(3), pp. 976-996. ISSN 0969-9988

Zhong, B; Li, H; Luo, H; Zhou, J; Fang, W and Xing, X (2020) Ontology-based semantic modeling of knowledge in construction: Classification and identification of hazards implied in images. Journal of Construction Engineering and Management, 146(4): 04020013, ISSN 0733-9364

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Zhu, D; Wen, H and Deng, Y (2020) Pro-active warning system for the crossroads at construction sites based on computer vision. Engineering, Construction and Architectural Management, 27(5), pp. 1145-1168. ISSN 0969-9988

Zhu, Z and Brilakis, I (2010) Machine vision-based concrete surface quality assessment. Journal of Construction Engineering and Management, 136(2), pp. 210-218. ISSN 0733-9364

This list was generated on Sat Aug 22 02:43:34 2026 UTC.