35 citations · 40 across the 16 of their papers we have counts for
8 papers · 1 filter
A Large Open Multi-Energy Corpus of Soil Compaction Tests, with Machine-Learning Baselines
Sompote Youwai, Chana Phutthananon, Warat Kongkitkul
Every engineered fill is specified by a maximum dry density and an optimum moisture content. Each determination needs a full Proctor test. Published correlations rest on one to fou…
Triple Attention Transformer Architecture for Time-Dependent Concrete Creep Prediction
Warayut Dokduea, Weerachart Tangchirapat, Sompote Youwai
This paper presents a novel Triple Attention Transformer Architecture for predicting time-dependent concrete creep, addressing fundamental limitations in current approaches that tr…
Explainable Artificial Intelligence Model for Evaluating Shear Strength Parameters of Municipal Solid Waste Across Diverse Compositional Profiles
Parichat Suknark, Sompote Youwaib, Tipok Kitkobsin +3
Accurate prediction of shear strength parameters in Municipal Solid Waste (MSW) remains a critical challenge in geotechnical engineering due to the heterogeneous nature of waste ma…
Evaluating and Explaining Earthquake-Induced Liquefaction Potential through Multi-Modal Transformers
Sompote Youwai, Tipok Kitkobsin, Sutat Leelataviwat +1
This study presents an explainable parallel transformer architecture for soil liquefaction prediction that integrates three distinct data streams: spectral seismic encoding, soil s…
Explainable Artificial Intelligent (XAI) for Predicting Asphalt Concrete Stiffness and Rutting Resistance: Integrating Bailey's Aggregate Gradation Method
Warat Kongkitkul, Sompote Youwai, Siwipa Khamsoy +1
This study employs explainable artificial intelligence (XAI) techniques to analyze the behavior of asphalt concrete with varying aggregate gradations, focusing on resilience modulu…
Developing an Explainable Artificial Intelligent (XAI) Model for Predicting Pile Driving Vibrations in Bangkok's Subsoil
Sompote Youwai, Anuwat Pamungmoon
This study presents an explainable artificial intelligent (XAI) model for predicting pile driving vibrations in Bangkok's soft clay subsoil. A deep neural network was developed usi…
Transformer-Based Deep Learning Model for Bored Pile Load-Deformation Prediction in Bangkok Subsoil
Sompote Youwai, Chissanupong Thongnoo
This paper presents a novel deep learning model based on the transformer architecture to predict the load-deformation behavior of large bored piles in Bangkok subsoil. The model en…
Transformer Based Model for Predicting Rapid Impact Compaction Outcomes: A Case Study of Utapao International Airport
Sompote Youwai, Sirasak Detcheewa
This paper introduces a novel deep learning approach to predict the engineering properties of the ground improved by Rapid Impact Compaction (RIC), which is a ground improvement te…