| Wireless sensor networks: Toward smarter railway stations H Alawad, S Kaewunruen Infrastructures 3 (3), 24, 2018 | 64 | 2018 |
| A deep learning approach towards railway safety risk assessment H Alawad, S Kaewunruen, M An IEEE Access 8, 102811-102832, 2020 | 62 | 2020 |
| Learning from accidents: Machine learning for safety at railway stations H Alawad, S Kaewunruen, M An IEEE Access 8, 633-648, 2019 | 57 | 2019 |
| Utilizing an adaptive neuro-fuzzy inference system (ANFIS) for overcrowding level risk assessment in railway stations H Alawad, M An, S Kaewunruen Applied Sciences 10 (15), 5156, 2020 | 42 | 2020 |
| Wireless sensor networks HAH Alawad, S Kaewunruen | 24 | 2003 |
| A decision framework for managing the risk of terrorist threats at rail stations interconnected with airports S Kaewunruen, H Alawad, S Cotruta Safety 4 (3), 36, 2018 | 22 | 2018 |
| 5G intelligence underpinning railway safety in the COVID-19 era H Alawad, S Kaewunruen Frontiers in Built Environment 7, 639753, 2021 | 17 | 2021 |
| Utilizing big data for enhancing passenger safety in railway stations H Alawad, S Kaewunruen, A Min IOP Conference Series: Materials Science and Engineering 603 (5), 052031, 2019 | 9 | 2019 |
| Complex-system decision framework for managing risks to rail stations at airports from terrorist threats HAH Alawad, S Codru, S Kaewunruen Proceedings of the 5th International Conference on Road and Rail …, 2018 | 5 | 2018 |
| Unsupervised machine learning for managing safety accidents in railway stations H Alawad, S Kaewunruen IEEE Access, 2023 | 3 | 2023 |
| Management of railway stations exposed to a terrorist threat S Kaewunruen, H Alawad Rail Infrastructure Resilience, 81-96, 2022 | 1 | 2022 |
| Machine learning-aided management of motorway facilities using single-vehicle accident data S Kaewunruen, H Alawad, T Omura, M Saito SAE International journal of transportation safety 9 (2), 205-232, 2021 | 1 | 2021 |
| Artificial intelligence applications to enhance risk management of railway station operations HA Alawad University of Birmingham, 2022 | | 2022 |
| Risk management prediction for overcrowding in railway stations utilising Adaptive Nero Fuzzy Inference System (ANFIS) H Alawad, S Kaewunruen, A Min IOP Conference Series: Materials Science and Engineering 603 (5), 052030, 2019 | | 2019 |
| Learning from accidents: machine learning for safety at H Alawad, S Kaewunruen, M An usir@ salford. ac. uk. Page 2 Received December 5, Date 2020 USIR is a …, 2019 | | 2019 |
| A deep learning approach towards railway safety risk H Alawad, S Kaewunruen, M An usir@ salford. ac. uk. Page 2 This work is licensed under a Creative Commons …, 2017 | | 2017 |
| Risk management prediction for overcrowding in railway stations utilising H Alawad, S Kaewunruen, M An Transportation Research Part C: Emerging Technologies 30, 81-92, 2013 | | 2013 |
Sakdirat KaewunruenThe University of Birmingham - Massachusetts Institute of TechnologyVerifierad e-postadress på mit.edu
