| Edge-computing video analytics for real-time traffic monitoring in a smart city J Barthélemy, N Verstaevel, H Forehead, P Perez Sensors 19 (9), 2048, 2019 | 208 | 2019 |
| Synthetic population generation without a sample J Barthelemy, PL Toint Transportation Science 47 (2), 266-279, 2013 | 204 | 2013 |
| Computer vision and IoT-based sensors in flood monitoring and mapping: A systematic review B Arshad, R Ogie, J Barthelemy, B Pradhan, N Verstaevel, P Perez Sensors 19 (22), 5012, 2019 | 110 | 2019 |
| How computer vision can facilitate flood management: A systematic review U Iqbal, P Perez, W Li, J Barthelemy International Journal of Disaster Risk Reduction 53, 102030, 2021 | 72 | 2021 |
| A case study of WiFi sniffing performance evaluation Y Li, J Barthelemy, S Sun, P Perez, B Moran IEEE Access 8, 129224-129235, 2020 | 56 | 2020 |
| mipfp: An R package for multidimensional array fitting and simulating multivariate Bernoulli distributions J Barthélemy, T Suesse Journal of Statistical Software 86, 2018 | 49 | 2018 |
| Sharkeye: Real-time autonomous personal shark alerting via aerial surveillance R Gorkin III, K Adams, MJ Berryman, S Aubin, W Li, AR Davis, ... Drones 4 (2), 18, 2020 | 45 | 2020 |
| Drones for flood monitoring, mapping and detection: A bibliometric review U Iqbal, MZB Riaz, J Zhao, J Barthelemy, P Perez Drones 7 (1), 32, 2023 | 36 | 2023 |
| RailNet: A simulation model for operational planning of rail freight G Michal, N Huynh, N Shukla, A Munoz, J Barthelemy Transportation Research Procedia 25, 461-473, 2017 | 35 | 2017 |
| A heuristic combinatorial optimisation approach to synthesising a population for agent-based modelling purposes NN Huynh, J Barthelemy, P Perez Journal of Artificial Societies and Social Simulation 19 (4), 11, 2016 | 34 | 2016 |
| A process-driven and need-oriented framework for review of technological contributions to disaster management U Iqbal, P Perez, J Barthelemy Heliyon 7 (11), 2021 | 28 | 2021 |
| Generating a synthetic population in support of agent-based modeling of transportation in Sydney N Huynh, MR Namazi-Rad, P Perez, MJ Berryman, Q Chen, J Barthelemy | 28 | 2013 |
| Automating visual blockage classification of culverts with deep learning U Iqbal, J Barthelemy, W Li, P Perez Applied Sciences 11 (16), 7561, 2021 | 27 | 2021 |
| Simulating transport and land use interdependencies for strategic urban planning—an agent based modelling approach N Huynh, P Perez, M Berryman, J Barthélemy Systems 3 (4), 177-210, 2015 | 26 | 2015 |
| An agent based model for the simulation of road traffic and transport demand in a Sydney metropolitan area NN Huynh, V Cao, R Wickramasuriya Denagamage, M Berryman, ... | 22 | 2014 |
| Urban vehicle localization in public LoRaWan network Y Li, J Barthelemy, S Sun, P Perez, B Moran IEEE Internet of Things Journal 9 (12), 10283-10294, 2021 | 21 | 2021 |
| A dynamic behavioural traffic assignment model with strategic agents J Barthelemy, T Carletti Transportation Research Part C: Emerging Technologies 85, 23-46, 2017 | 21 | 2017 |
| Traffic exhaust to wildfires: PM2.5 measurements with fixed and portable, low-cost LoRaWAN-connected sensors H Forehead, J Barthelemy, B Arshad, N Verstaevel, O Price, P Perez Plos one 15 (4), e0231778, 2020 | 18 | 2020 |
| Prediction of hydraulic blockage at culverts from a single image using deep learning U Iqbal, J Barthelemy, P Perez Neural Computing and Applications 34 (23), 21101-21117, 2022 | 17 | 2022 |
| An adaptive agent-based approach to traffic simulation J Barthélemy, T Carletti Transportation research procedia 25, 1238-1248, 2017 | 16 | 2017 |
Pascal PerezAURIN, University of MelbourneVerified email at unimelb.edu.au
