35 citations · 40 across the 16 of their papers we have counts for
20 papers
Label-free physics-informed strength reduction and a neural operator for the reliability of spatially variable slopes
Apisit Robjanghvad, Sompote Youwai
This paper proposes a label-free physics-informed neural network (PINN) for non-associated Mohr-Coulomb plasticity with incremental strength reduction for the reliability of spatia…
Agentic AI for Staged Three-Dimensional Finite-Element Tunnel Modelling
Ochok Duangsano, Kuo-Chieh Chao, Sompote Youwai +3
Three-dimensional finite-element (FE) analysis gives the most complete picture of tunnelling-induced ground movement, but it is slow: an engineer must drive the PLAXIS 3D interface…
A deflection-basin fusion transformer for predicting critical pavement strains from falling weight deflectometer
Chana Phutthananona, Sompote Youwai, Warat Kongkitkula
The two critical strains of pavement design, under the asphalt layer and on the subgrade, are conventionally obtained by backcalculating layer moduli from a falling weight deflecto…
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…
SAM3-LoRA: Parameter-Efficient Adaptation of a Concept-Promptable Foundation Model for Multi-Class Structural Defect Segmentation
P. Malaisree, S. Youwai, S. Janrungautai +3
Promptable segmentation foundation models such as SAM3 accept an open-vocabulary text concept and return every instance matching it, but adapting them to a specialized domain by fu…
YOLO26-RD: An End-to-End Road Damage Detection Network With Learnable Contrast Enhancement and Edge-Guided Downsampling
Sompote Youwai, Pawarotorn Chaipetch, Hathairat Samaikul +1
Pavement distress detectors are conventionally specialised for small objects, typically by adding a stride-4 detection head and replacing strided convolution with space-to-depth do…
TriView-YOLO: Early Multi-View Fusion for Ground Penetrating Radar Cavity Detection in Soft, High-Water-Content Soils
Suphawut Thawinutchokaudom, Sompote Youwai, Warat Kongkitkul +3
Automated detection of subsurface cavities from Ground Penetrating Radar (GPR) is most difficult in soft, high-water-content ground, where conductive, water-saturated soil attenuat…
Fourier Feature Physics-Informed Neural Networks for Elasto-Plastic Analysis of Geomaterials with a Non-Associative Mohr-Coulomb Model
Apisit Robjanghvad, Sompote Youwai
Elasto-plastic boundary value problems in geotechnical engineering are conventionally solved by the Finite Element Method (FEM), which incurs high computational cost from increment…
DINO-YOLO: Self-Supervised Pre-training for Data-Efficient Object Detection in Civil Engineering Applications
Malaisree P, Youwai S, Kitkobsin T +3
Object detection in civil engineering applications is constrained by limited annotated data in specialized domains. We introduce DINO-YOLO, a hybrid architecture combining YOLOv12…
Investigating the Potential of Large Language Model-Based Router Multi-Agent Architectures for Foundation Design Automation: A Task Classification and Expert Selection Study
Sompote Youwai, David Phim, Vianne Gayl Murcia +1
This study investigates router-based multi-agent systems for automating foundation design calculations through intelligent task classification and expert selection. Three approache…
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 Dual-Attention Tabular Transformer for Soil Electrical Resistivity Prediction: A Decision Support Framework for High-Voltage Substation Construction
Warat Kongkitkul, Sompote Youwai, Warut Sakulpojworachai
This research introduces a novel dual-attention transformer architecture for predicting soil electrical resistivity, a critical parameter for high-voltage substation construction.…
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…
YOLO9tr: A Lightweight Model for Pavement Damage Detection Utilizing a Generalized Efficient Layer Aggregation Network and Attention Mechanism
Sompote Youwai, Achitaphon Chaiyaphat, Pawarotorn Chaipetch
Maintaining road pavement integrity is crucial for ensuring safe and efficient transportation. Conventional methods for assessing pavement condition are often laborious and suscept…
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…
Computer Vision for Particle Size Analysis of Coarse-Grained Soils
Sompote Youwai, Parchya Makam
Particle size analysis (PSA) is a fundamental technique for evaluating the physical characteristics of soils. However, traditional methods like sieving can be time-consuming and la…