Kongtawan Sangjinda
- (2023): Soft-Computing Techniques for Predicting Seismic Bearing Capacity of Strip Footings in Slopes. In: Buildings, v. 13, n. 6 (23 Mai 2023).
- (2022): Data-Driven Prediction of Stability of Rock Tunnel Heading: An Application of Machine Learning Models. In: Infrastructures, v. 7, n. 11 (November 2022).
- (2022): Stability Charts for Limiting Horizontal Normal Pressure on Cohesive-frictional Backfill for Deep Contiguous Piled Walls. In: The Open Civil Engineering Journal, v. 16, n. 1 (28 Februar 2022).
- (2022): A machine learning regression approach for predicting the bearing capacity of a strip footing on rock mass under inclined and eccentric load. In: Frontiers in Built Environment, v. 8 (Februar 2022).
- (2022): Neural Network-Based Prediction Model for the Stability of Unlined Elliptical Tunnels in Cohesive-Frictional Soils. In: Buildings, v. 12, n. 4 (11 April 2022).
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