Automated image-based generation of finite element models for masonry buildings

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We propose a semantic shape editing method to edit 3D triangle meshes using parametric implicit surface templates, benefiting from the many advantages offered by analytical implicit representations, such as infinite resolution and boolean or blending opera ...

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Rubble stone masonry is a common construction typology of historical city centres and vernacular architecture. While past earthquakes have shown that it is one of the most vulnerable masonry construction typologies, there are few experimental campaigns giv ...

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Automated image-based generation of finite element models for masonry buildings

Chattez avec Graph Search

Semantic Shape Editing with Parametric Implicit Templates

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Experimental Investigation on Size-Effect of Rubble Stone Masonry Walls Under In-Plane Horizontal Loading: Overview and Preliminary Results

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

Topics in statistical physics of high-dimensional machine learning

Partial discharge localization in power transformer tanks using machine learning methods

Biophysically accurate and machine learning-based surrogate models to optimize neuroprosthesis design and operation

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications

Towards Trustworthy Deep Learning for Image Reconstruction

High-Resolution Modeling Without Computation Slowdown for PETALE in CROCUS

Automated post-earthquake damage assessment of stone masonry buildings integrating machine learning, computer vision, and physics-based modeling

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Residual-based attention in physics-informed neural networks

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Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

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