Hanbin Luo
- (2024): A BIM-based multi-model framework for advancing TBM performance − part 1: Real-time prediction of thrust force. In: Tunnelling and Underground Space Technology, v. 151 (September 2024).
- (2024): IFC data extension for real-time safety monitoring of automated construction in high-rise building projects. In: Automation in Construction, v. 162 (June 2024).
- (2023): Dynamic parametric modeling of shield tunnel: A WebGL-based framework for assisting shield segment assembly point selection. In: Tunnelling and Underground Space Technology, v. 142 (December 2023).
- (2023): A Bayesian-based knowledge tracing model for improving safety training outcomes in construction: An adaptive learning framework. In: Developments in the Built Environment, v. 13 (March 2023).
- (2022): Building demolition estimation in urban road widening projects using as-is BIM models. In: Automation in Construction, v. 144 (December 2022).
- (2022): Digital technology for quality management in construction: A review and future research directions. In: Developments in the Built Environment, v. 12 (December 2022).
- (2022): A deep learning fusion approach to retrieve images of People's unsafe behavior from construction sites. In: Developments in the Built Environment, v. 12 (December 2022).
- (2021): Automated bughole detection and quality performance assessment of concrete using image processing and deep convolutional neural networks. In: Construction and Building Materials, v. 281 (April 2021).
- (2022): Deep learning-based data analytics for safety in construction. In: Automation in Construction, v. 140 (August 2022).
- (2022): Building digital twins of existing highways using map data based on engineering expertise. In: Automation in Construction, v. 134 (February 2022).
- (2022): Digital twin enabled sustainable urban road planning. In: Sustainable Cities and Society, v. 78 (March 2022).
- (2022): Computational Geometric Approach for BIM Semantic Enrichment to Support Automated Underground Garage Compliance Checking. In: Journal of Construction Engineering and Management, v. 148, n. 1 (January 2022).
- (2022): Effect of nano-silica on microbiologically induced calcium carbonate precipitation. In: Construction and Building Materials, v. 314 (January 2022).
- (2020): Building evacuation time optimization using constraint-based design approach. In: Sustainable Cities and Society, v. 52 (January 2020).
- (2018): Assessment of material related embodied carbon of an office building in Sri Lanka. In: Energy and Buildings, v. 166 (May 2018).
- (2020): Construction quality information management with blockchains. In: Automation in Construction, v. 120 (December 2020).
- (2020): Effects of physical fatigue on the induction of mental fatigue of construction workers: A pilot study based on a neurophysiological approach. In: Automation in Construction, v. 120 (December 2020).
- (2020): Computer vision applications in construction safety assurance. In: Automation in Construction, v. 110 (February 2020).
- (2013): Feedforward Analysis for Shield-Ground System. In: Journal of Computing in Civil Engineering, v. 27, n. 3 (May 2013).
- (2018): A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory. In: Automation in Construction, v. 86 (February 2018).
- (2018): Falls from heights: A computer vision-based approach for safety harness detection. In: Automation in Construction, v. 91 (July 2018).
- (2014): A BIM-based construction quality management model and its applications. In: Automation in Construction, v. 46 (October 2014).
- (2015): Applicability of 4D modeling for resource allocation in mega liquefied natural gas plant construction. In: Automation in Construction, v. 50 (February 2015).
- (2017): Formulating project-level building information modeling evaluation framework from the perspectives of organizations: A review. In: Automation in Construction, v. 81 (September 2017).
- (2016): Application of ontology in vulnerability analysis of metro operation systems. In: Structure and Infrastructure Engineering, v. 12, n. 10 (October 2016).
- (2018): Computer vision aided inspection on falling prevention measures for steeplejacks in an aerial environment. In: Automation in Construction, v. 93 (September 2018).
- (2018): Detecting non-hardhat-use by a deep learning method from far-field surveillance videos. In: Automation in Construction, v. 85 (January 2018).
- (2018): Convolutional neural networks: Computer vision-based workforce activity assessment in construction. In: Automation in Construction, v. 94 (October 2018).
- (2018): Impact of Attitudinal Ambivalence on Safety Behaviour in Construction. In: Advances in Civil Engineering, v. 2018 ( 2018).
- (2019): Cyber-physical-system-based safety monitoring for blind hoisting with the internet of things: A case study. In: Automation in Construction, v. 97 (January 2019).
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