Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...
FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, making it more applicable in clinical settings. The algorithm outperformed ...
In recent years, something unexpected has been happening in artificial intelligence. Modern AI appears to be breaking a rule that statisticians have preached for nearly a century: Keep models in a ...
Scientists announced on Wednesday that they have found no evidence for the hypothetical “sterile neutrino,” an extra version of the ghostly neutrino particles that are ubiquitous in the universe. The ...
Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...
Former detective says string of Houston deaths may be linked to alleged ‘Smiley Face’ killer network
Bodies keep surfacing — and so do questions. There's a dark current in Houston's bayous this year, with 16 bodies recovered, five of them in the same week last month. City leaders are downplaying ...
Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
As you read this, in the background—or perhaps the foreground—is the wandering mind. This basal activity may be best represented in current neuroscience by the Default Mode Network (DMN). The DMN is ...
Abstract: Several topological and analytical notions of continuity and fading memory for causal and time-invariant filters are introduced, and the relations between them are analyzed. A significant ...
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