HEC-RAS is a highly precise model for predicting water levels and flood-affected areas during extreme hydrological events, even with limited input data (Zainal and Abu Talib, 2024); HEC-RAS is widely ...

Abstract: The widespread adoption of Transformers in deep learning, serving as the core framework for numerous large-scale language models, has sparked significant interest in understanding their ...

Abstract: This paper investigates a 2D to 3D image translation method with a straightforward technique, enabling correlated 2D X-ray to 3D CT-like reconstruction. We observe that existing approaches, ...

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