Abstract: With valuable data constantly under attack, reactive security measures are no longer sufficient. Predicting cyber threats before they emerge is crucial. Cyberattacks do not occur randomly; ...
Abstract: While handwritten notes offer valuable insights into students’ knowledge retention, traditional analysis methods are often time-consuming and limited in scope. This study introduces an ...
Shortly after Nancy Guthrie disappeared, Pima County, Arizona, Sheriff Chris Nanos said that a camera affixed to her door had been disconnected, that she did not have a subscription that would have ...
Referring Image Segmentation (RIS) is a vision-language task that identifies and segments objects in images based on free-form text descriptions. This study investigates effective data augmentation ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
This repository provides the official implementation for the paper "Contrastive Mean Teacher for Robust Low-Light Image Enhancement", Arxiv, 2025. [2025-06-28] The test codes, pre-trained weights and ...
I am a freelance technical writer & editor, AI integration specialist, and software engineer, but I prefer to call myself a Technology Bishop. I am a freelance technical writer & editor, AI ...
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