A. Taparugssanagorn

AE-TabNet: A Hierarchical Class Aggregation Approach for Cross-Dataset Reservoir Classification Using Well Log Data

Identifying reservoir fluid types is a critical task in petroleum exploration and georesource management and is commonly performed through the interpretation of well log data. However, this task remains challenging due to the complex, nonlinear relationships among logging measurements and its strong dependence on exper...

Model-Aided Learning for Sparse Received Signal Strength Indicator Radio Map Prediction and Wireless Signal Management in Internet of Things Environments

Results show that the proposed method consistently outperforms classical path-loss modeling, interpolation, Kriging, and encoder–decoder baselines, especially when only a small fraction of measurement locations is available, support propagation-prior-guided model-aided learning as a practical approach for low-cost IoT...

Benchmarking federated spatio-temporal graph neural networks against lightweight models for IoT intrusion detection: An empirical study on Edge-IIoTset