Alexander Grothendieck was a titan in his field, making deep connections that fuelled a revolution in mathematics, before ...
Two-dimensional liquid chromatography (2D-LC) improves chromatographic performance, with LCxLC providing extensive ...
Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
The numbers love a quarterback who is 0-1-1 in his last two games despite being heavily favored, a 28-year-old on his fifth NFL team and a second-year gunslinger whose offense has scored 14 points or ...
Abstract: Multimodal 3D object detection significantly enhances perception by fusing LiDAR point clouds and RGB images. However, existing methods often fail to adaptively estimate modality confidence ...
Many layers: knife sharpness and cutting technique greatly affect the speed of droplets that are created when cutting an onion. (Courtesy: Zixuan Wu and Sunghwan “Sunny” Jung at Cornell University) ...
From OS Maps to Komoot, these are the best hiking apps for planning, navigating and recording your adventures — whether ...
In this paper, we present VoxT-GNN, an innovative framework that harnesses the strengths of both Transformer and Graph Neural Network architectures for 3D object detection from LiDAR point clouds.
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