Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
A native Geometric Algebra Transformer architecture based on Conformal Geometric Algebra $\mathcal{C}l(4,1)$, implementing multivector representations and geometric products for deep learning. Versor/ ...
Multimodal Medical Image Fusion via Manifold Structure Modeling and Information Geometry Enhancement
Abstract: Multimodal medical image fusion integrates complementary information from different modalities in terms of structure and function, playing a crucial role in disease diagnosis, surgical ...
Abstract: An end-to-end simulation and experimental validation framework is presented for compact neutron detectors based on EJ-276 plastic scintillators coupled to silicon photomultipliers. The ...
Nodi, a node-based 3D modeling platform, has released a major update that introduces implicit modeling capabilities aimed at design for additive manufacturing (DfAM) workflows. The new feature allows ...
Abstract: Existing Physics-Informed Neural Network (PINN) frameworks are geometry-specific, necessitating costly retraining for any alteration in the structural geometry. This study incorporates a ...
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