Jessada Sresakoolchai
University of Birmingham
H-index: 12
Europe-United Kingdom
Top articles of Jessada Sresakoolchai
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Data driven machine learning prognostics of buckling failure modes in ballasted railway track | Discover Applied Sciences | Watcharapong Wongkaew Wachira Muanyoksakul Chayut Ngamkhanong Jessada Sresakoolchai Sakdirat Kaewunruen | 2024/4/14 |
Integration of multi-scale BIM and AI for Railway Asset Management towards Net Zero | Jessada Sresakoolchai Sakdirat Kaewunruen | 2023/6/22 | |
Ballastless Track Support Deterioration Evaluation Using Machine Learning | Jessada Sresakoolchai Ting Li Sakdirat Kaewunruen | 2023/3/14 | |
Railway infrastructure maintenance efficiency improvement using deep reinforcement learning integrated with digital twin based on track geometry and component defects | Scientific Reports | Jessada Sresakoolchai Sakdirat Kaewunruen | 2023/2/10 |
Automated machine learning recognition to diagnose flood resilience of railway switches and crossings | Scientific reports | Jessada Sresakoolchai Mehmet Hamarat Sakdirat Kaewunruen | 2023/2/6 |
Interactive reinforcement learning innovation to reduce carbon emissions in railway infrastructure maintenance | Developments in the Built Environment | Jessada Sresakoolchai Sakdirat Kaewunruen | 2023/10/1 |
Prediction of turnout support deterioration through dynamic train-track interactions integrated with artificial intelligence | INTER-NOISE and NOISE-CON Congress and Conference Proceedings | Jessada Sresakoolchai Mehmet Hamarat Sakdirat Kaewunruen | 2023/2/1 |
Carbon emission reduction in railway maintenance using reinforcement learning | Jessada Sresakoolchai Sakdirat Kaewunruen | 2023/6/28 | |
Track geometry prediction using three-dimensional recurrent neural network-based models cross-functionally co-simulated with BIM | Sensors | Jessada Sresakoolchai Sakdirat Kaewunruen | 2022/12/30 |
Railway turnout support deterioration estimation under flooding condition using machine learning | Jessada Sresakoolchai Sakdirat Kaewunruen Mehmet Hamarat | 2022/6/22 | |
Machine learning based design of railway prestressed concrete sleepers | Applied Sciences | Sakdirat Kaewunruen Jessada Sresakoolchai Junhui Huang Yingyu Zhu Chayut Ngamkhanong | 2022/10/13 |
Machine learning to identify dynamic properties of railway track components | International Journal of Structural Stability and Dynamics | Sakdirat Kaewunruen Jessada Sresakoolchai Henry Stittle | 2022/9/15 |
Real-time intelligent recognition of transportation modes via smartphones | Satoru Harada Wisinee Wisetjindawat Jessada Sresakoolchai Junhui Huang Sakdirat Kaewunruen | 2022/5/31 | |
Digital twin aided sustainability assessment of modern light rail infrastructures | Frontiers in Built Environment | Aorigele Orgil Borjigin Jessada Sresakoolchai Sakdirat Kaewunruen John Hammond | 2022/6/6 |
Prognostics of unsupported railway sleepers and their severity diagnostics using machine learning | Scientific reports | Jessada Sresakoolchai Sakdirat Kaewunruen | 2022/4/11 |
Railway defect detection based on track geometry using supervised and unsupervised machine learning | Structural health monitoring | Jessada Sresakoolchai Sakdirat Kaewunruen | 2022/7 |
Self-healing performance assessment of bacterial-based concrete using machine learning approaches | Materials | Xu Huang Jessada Sresakoolchai Xia Qin Yiu Fan Ho Sakdirat Kaewunruen | 2022/6/23 |
Machine learning-aided identification of train weights from railway sleeper vibration | Insight-Non-Destructive Testing and Condition Monitoring | Sakdirat Kaewunruen Jessada Sresakoolchai Arol Thamba | 2021/3/1 |
Causal analysis of bus travel time reliability in Birmingham, UK | Results in Engineering | Sakdirat Kaewunruen Jessada Sresakoolchai Haoran Sun | 2021/12/1 |
Digital twin aided vulnerability assessment and risk-based maintenance planning of bridge infrastructures exposed to extreme conditions | Sustainability | Sakdirat Kaewunruen Jessada Sresakoolchai Wentao Ma Olisa Phil-Ebosie | 2021/2/14 |
