Items with Index Term: sensor data
Adibfar, A (2020) Bridge digital twins: Fusion of intelligent transportation systems (ITS) sensor data and bridge information modeling (BRIM) for interoperability. PhD thesis, University of Florida, USA.
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
Bai, L (2013) RFID sensor-driven structural condition monitoring in integrated building information modeling environment. PhD thesis, University of Maryland, College Park, 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.
Choi, B (2018) The role of socio-cognitive process in construction workers' safety behaviors. PhD thesis, University of Michigan, USA.
Ferguson, M (2020) Improving mobile robot navigation with dynamic building information models and stochastic neural control. PhD thesis, Stanford University, USA.
González, J; Barzellay Ferreira da Costa, B; Tam, V W Y and Haddad, A N (2025) Integration of 4.0 technologies towards the creation of digital twins. International Journal of Construction Management, 25(13), pp. 1516-1533. ISSN 1562-3599
Guven, G and Ergen, E (2021) Tracking major resources for automated progress monitoring of construction activities: Masonry work case. Construction Innovation, 21(4), pp. 648-667. ISSN 1471-4175
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
Khalid, M; Yusuf, A; Akanmu, A; Murzi, H and Awolusi, I (2024) The impact of individual differences in developing computational thinking and sensor data analytics skills in construction engineering education. International Journal of Construction Education and Research, 20(4), pp. 483-500. ISSN 1557-8771
Khalid, Mohammad (2025) Enhancing computational thinking skills of the future construction workforce to perform sensor data analytics with end-user programming environment. PhD thesis, Virginia Polytechnic Institute and State University, USA.
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
Kumari, P; Reddy, S R N and Yadav, R (2024) Indoor occupancy detection and counting system based on boosting algorithm using different sensor data. Building Research & Information, 52(1-2), pp. 87-106. ISSN 0961-3218
Louis, J (2016) Simulation analysis, monitoring, and control of operations. PhD thesis, Purdue University, USA.
Louis, J and Dunston, P S (2017) Methodology for real-time monitoring of construction operations using finite state machines and discrete-event operation models. Journal of Construction Engineering and Management, 143(3): 04016106, ISSN 0733-9364
Mansoor, A; Liu, S; Bouferguene, A and Al-Hussein, M (2024) Crane signalman hand-signal classification framework using sensor-based smart construction glove and machine-learning algorithms. Journal of Construction Engineering and Management, 150(8): 04024094, ISSN 0733-9364
Mason, B (2023) Advancing autonomous green stormwater infrastructure. PhD thesis, University of Michigan, USA.
Meduri, A (2025) Multi-modal sensor based high frequency non linear model predictive control for robots. PhD thesis, New York University Tandon School of Engineering, USA.
Mousavi, Milad (2025) Evolving and proactive risk modelling in underground working environments. PhD thesis, University of New South Wales, Australia.
Rai, Sanish (2016) Building occupancy simulation and data assimilation using a graph based agent oriented model. PhD thesis, Georgia State University, USA.
Rashidi, A; Woon, G L; Dasandara, M; Bazghaleh, M and Pasbakhsh, P (2025) Smart personal protective equipment for intelligent construction safety monitoring. Smart and Sustainable Built Environment, 14(3), pp. 835-858. ISSN 2046-6099
Riaz, Z; Parn, E A; Edwards, D J; Arslan, M; Shen, C and Pena-Mora, F (2017) BIM and sensor-based data management system for construction safety monitoring. Journal of Engineering, Design and Technology, 15(6), pp. 738-753.
Rogage, K; Clear, A; Alwan, Z; Lawrence, T and Kelly, G (2020) Assessing building performance in residential buildings using BIM and sensor data. International Journal of Building Pathology and Adaptation, 38(1), pp. 176-191. ISSN 23984708
Rönnberg, N; Ringdahl, R and Fredriksson, A (2023) Measurement and sonification of construction site noise and particle pollution data. Smart and Sustainable Built Environment, 12(4), pp. 742-764. ISSN 2046-6099
Sakhakarmi, S (2022) Automated approach for the enhancement of scaffolding structure monitoring with strain sensor data. PhD thesis, University of Nevada, Las Vegas, USA.
Schmidt, J Q (2024) Overcoming barriers to adoption of smart stormwater technologies. PhD thesis, University of Michigan, USA.
Shrestha, P and Behzadan, A H (2018) Chaos theory-inspired evolutionary method to refine imperfect sensor data for data-driven construction simulation. Journal of Construction Engineering and Management, 144(3): 04018001, ISSN 0733-9364
Son, H and Kim, C (2013) Multiimaging sensor data fusion-based enhancement for 3D workspace representation for remote machine operation. Journal of Construction Engineering and Management, 139(4), pp. 434-444. ISSN 0733-9364
Stojanovic, V; Trapp, M; Richter, R; Hagedorn, B and Döllner, J (2018) Towards the generation of digital twins for facility management based on 3D point clouds. In: Gorse, C and Neilson, C J (eds.) Proceedings of 34th Annual ARCOM Conference, 3-5 September 2018, Queen’s University, Belfast, UK.
Umer, Muhammad (2025) Spotting inventory: Autonomous item localization on active construction sites using a boston dynamics spot® with Bayesian filtering and object detection. PhD thesis, Auburn University, USA.
Wang, Y-P (2021) How level of detail of activity duration data influences look-ahead schedule performance in prefabricated construction. PhD thesis, Stanford University, USA.
Willems, S; Saelens, D and Heylighen, A (2024) How to investigate differences in indoor environmental comfort and adaptation? Mixed methods research with patients. Building Research & Information, 52(8), pp. 851-869. ISSN 0961-3218
Yang, Y (2014) Harnessing data structure for health monitoring and assessment of civil structures: Sparse representation and low-rank structure. PhD thesis, Rice University, USA.
Zhang, Xutong (2025) Physics-guided machine learning for condition assessment of building structures in operational environments. PhD thesis, University of Technology Sydney, Australia.
Zhou, N; Chang-Richards, A; Wang, K I K and Dirks, K N (2022) Prototyping an IoT-based system for monitoring building indoor environment. Journal of Engineering, Design and Technology, 20(4), pp. 965-992. ISSN 1726-0531
Zhou, T (2023) Embodied robot teleoperation in construction. PhD thesis, University of Florida, USA.
Zhou, T; Xia, P; Ye, Y and Du, J (2023) Embodied robot teleoperation based on high-fidelity visual-haptic simulator: Pipe-fitting example. Journal of Construction Engineering and Management, 149(12): 04023129, ISSN 0733-9364
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