As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

The recent past has seen an increasing interest in Heterogeneous Graph Neural Networks (HGNNs), since many real-world graphs are heterogeneous in nature, from citation graphs to email graphs. However, ...

Abstract: In recent years, superpixel-based graph convolutional networks (GCNs) have drawn increasing attention within the hyperspectral image (HSI) classification community. Due to the ...

Gene regulatory network (GRN) inference is a central task in systems biology. However, due to the noisy nature of gene expression data and the diversity of regulatory structures, accurate GRN ...

To improve the resilience of the computer network infrastructure against cyber attacks or causal influences and find ways to mitigate their impact, we need to understand their structure and dynamics.

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

Abstract: In remote sensing image (RSI) change detection (CD), the binary CD is crucial for identifying change objects but lacks semantic information, leading to issues with intraclass similarity and ...

Imagine standing atop a mountain, gazing at the vast landscape below, trying to make sense of the world around you. For centuries, explorers relied on such vantage points to map their surroundings.

ABSTRACT: This paper explores the translation of classical Chinese poetry written by Mongolian poets during the Qing Dynasty, focusing on the application of Frame Theory to address translation ...

Researchers identified two brain networks involved in word retrieval -- the cognitive process of accessing words we need to speak. A semantic network processes meaning in middle/inferior frontal gyri, ...