Times-series data augmentation and deep learning for construction equipment activity recognition KM Rashid, J Louis Advanced Engineering Informatics 42, 100944, 2019 | 285 | 2019 |
Integrating IoT into operational workflows for real-time and automated decision-making in repetitive construction operations J Louis, PS Dunston Automation in Construction 94, 317-327, 2018 | 122 | 2018 |
Wireless electric appliance control for smart buildings using indoor location tracking and BIM-based virtual environments KM Rashid, J Louis, KK Fiawoyife Automation in Construction 101, 48-58, 2019 | 61 | 2019 |
Activity identification in modular construction using audio signals and machine learning KM Rashid, J Louis Automation in construction 119, 103361, 2020 | 55 | 2020 |
Window-warping: A time series data augmentation of IMU data for construction equipment activity identification KM Rashid, J Louis ISARC. Proceedings of the international symposium on automation and robotics …, 2019 | 53 | 2019 |
Methodology for real-time monitoring of construction operations using finite state machines and discrete-event operation models J Louis, PS Dunston Journal of construction engineering and management 143 (3), 04016106, 2017 | 38 | 2017 |
Potential positive impacts of digitalization of construction-phase information management for project owners. QK Jahanger, J Louis, C Pestana, D Trejo Journal of Information Technology in Construction 26, 2021 | 34 | 2021 |
Incorporating worker awareness in the generation of hazard proximity warnings K Chan, J Louis, A Albert Sensors 20 (3), 806, 2020 | 34 | 2020 |
Automated activity identification for construction equipment using motion data from articulated members KM Rashid, J Louis Frontiers in Built Environment 5, 144, 2020 | 33 | 2020 |
Assessment of the productivity of nighttime asphalt paving operations A Mostafavi, V Valentin, DM Abraham, J Louis Journal of construction engineering and management 138 (12), 1421-1432, 2012 | 30 | 2012 |
Does the potential safety risk affect whether particular construction hazards are recognized or not? A Albert, B Pandit, Y Patil, J Louis Journal of safety research 75, 241-250, 2020 | 26 | 2020 |
Deep learning model comparison for vision-based classification of full/empty-load trucks in earthmoving operations Q Liu, C Feng, Z Song, J Louis, J Zhou Applied Sciences 9 (22), 4871, 2019 | 21 | 2019 |
Optimizing earth moving operations via reinforcement learning V Shitole, J Louis, P Tadepalli 2019 Winter Simulation Conference (WSC), 2954-2965, 2019 | 18 | 2019 |
Potential influencing factors related to digitalization of construction-phase information management by project owners QK Jahanger, J Louis, D Trejo, C Pestana Journal of Management in Engineering 37 (3), 04021010, 2021 | 17 | 2021 |
Identifying modular construction worker tasks using computer vision R Panahi, J Louis, N Aziere, A Podder, C Swanson Computing in Civil Engineering 2021, 959-966, 2022 | 13 | 2022 |
Simulating and visualizing construction operations using robot simulators and discrete event simulation J Louis, P Dunston, J Martinez Computing in Civil and Building Engineering (2014), 355-363, 2014 | 13 | 2014 |
Tracking volumetric units in modular factories for automated progress monitoring using computer vision R Panahi, J Louis, A Podder, C Swanson Construction Research Congress 2022, 822-829, 2022 | 11 | 2022 |
Integrating process mining with discrete-event simulation for dynamic productivity estimation in heavy civil construction operations KM Rashid, J Louis Algorithms 15 (5), 173, 2022 | 10 | 2022 |
Utilizing building information models as operating systems for smart homes J Louis, K Rashid Proceedings of the Workshop on Human-Habitat for Health (H3): Human-Habitat …, 2018 | 10 | 2018 |
Bottleneck detection in modular construction factories using computer vision R Panahi, J Louis, A Podder, C Swanson, S Pless Sensors 23 (8), 3982, 2023 | 9 | 2023 |