Jessada Sresakoolchai

发表

Digital twins for managing railway maintenance and resilience

S. Kaewunruen, Yi-hsuan Lin, Jessada Sresakoolchai, 2021, Open Research Europe.

Digital twins for managing railway maintenance and resilience

S. Kaewunruen, Yi-hsuan Lin, Jessada Sresakoolchai, 2021, Open Research Europe.

Comparative studies into public private partnership and traditional investment approaches on the high-speed rail project linking 3 airports in Thailand

S. Kaewunruen, Jessada Sresakoolchai, 2020, Transportation Research Interdisciplinary Perspectives.

Digital Twin Aided Sustainability Assessment of Modern Light Rail Infrastructures

S. Kaewunruen, J. Hammond, Jessada Sresakoolchai, 2022, Frontiers in Built Environment.

Life Cycle Cost, Energy and Carbon Assessments of Beijing-Shanghai High-Speed Railway

Sakdirat Kaewunruen, Jessada Sresakoolchai, S. Kaewunruen, 2019, Sustainability.

Machine Learning Aided Design and Prediction of Environmentally Friendly Rubberised Concrete

Sakdirat Kaewunruen, Jessada Sresakoolchai, Xu Huang, 2021, Sustainability.

Railway defect detection based on track geometry using supervised and unsupervised machine learning

S. Kaewunruen, Jessada Sresakoolchai, 2022, Structural Health Monitoring.

Track Geometry Prediction Using Three-Dimensional Recurrent Neural Network-Based Models Cross-Functionally Co-Simulated with BIM

S. Kaewunruen, Jessada Sresakoolchai, 2022, Sensors.

Digital Twin Aided Vulnerability Assessment and Risk-Based Maintenance Planning of Bridge Infrastructures Exposed to Extreme Conditions

Sakdirat Kaewunruen, Olisa Phil-Ebosie, Jessada Sresakoolchai, 2021, Sustainability.

University of Birmingham Sustainability-based lifecycle management for bridge infrastructure using 6D BIM

Sakdirat Kaewunruen, Jessada Sresakoolchai, Zhihao Zhou, 2020 .

Prediction of Healing Performance of Autogenous Healing Concrete Using Machine Learning

S. Kaewunruen, Jessada Sresakoolchai, Xu Huang, 2021, Materials.

University of Birmingham Prediction of healing performance of autogenous healing concrete using machine learning

S. Kaewunruen, Jessada Sresakoolchai, Xu Huang, 2021 .

Detection and Severity Evaluation of Combined Rail Defects Using Deep Learning

Sakdirat Kaewunruen, Jessada Sresakoolchai, S. Kaewunruen, 2021, Vibration.

Integration of Building Information Modeling and machine learning for railway defect localization

Sakdirat Kaewunruen, Jessada Sresakoolchai, S. Kaewunruen, 2021, IEEE Access.

University of Birmingham Detection and severity evaluation of combined rail defects using deep learning

Jessada Sresakoolchai, Sakdirat, 2021 .

Potential Reconstruction Design of an Existing Townhouse in Washington DC for Approaching Net Zero Energy Building Goal

Sakdirat Kaewunruen, Jessada Sresakoolchai, Lalida Kerinnonta, 2019, Sustainability.

Self-Healing Performance Assessment of Bacterial-Based Concrete Using Machine Learning Approaches

S. Kaewunruen, X. Qin, Jessada Sresakoolchai, 2022, Materials.

Prognostics of unsupported railway sleepers and their severity diagnostics using machine learning

S. Kaewunruen, Jessada Sresakoolchai, 2022, Scientific Reports.

Integration of Building Information Modeling (BIM) and Artificial Intelligence (AI) to Detect Combined Defects of Infrastructure in the Railway System

S. Kaewunruen, Jessada Sresakoolchai, 2021, Resilient Infrastructure.

Wheel flat detection and severity classification using deep learning techniques

Sakdirat Kaewunruen, Jessada Sresakoolchai, S. Kaewunruen, 2021, Insight - Non-Destructive Testing and Condition Monitoring.

Causal analysis of bus travel time reliability in Birmingham, UK

Sakdirat Kaewunruen, Jessada Sresakoolchai, Haoran Sun, 2021, Results in Engineering.

Human Activity Vibrations

Sakdirat Kaewunruen, Wisinee Wisetjindawat, Jessada Sresakoolchai, 2021, Data.

Machine Learning Based Design of Railway Prestressed Concrete Sleepers

S. Kaewunruen, A. Remennikov, C. Ngamkhanong, 2022, Applied Sciences.

Machine learning aided rail corrugation monitoring for railway track maintenance

Sakdirat Kaewunruen, Jessada Sresakoolchai, Gaoman Zhu, 2021 .

Railway infrastructure maintenance efficiency improvement using deep reinforcement learning integrated with digital twin based on track geometry and component defects

S. Kaewunruen, Jessada Sresakoolchai, 2023, Scientific Reports.

Interactive reinforcement learning application to reduce carbon emissions in railway infrastructure maintenance

S. Kaewunruen, Jessada Sresakoolchai, 2023, Developments in the Built Environment.