According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...

Researchers have developed RADIANT, a new cybersecurity system that enhances protection for critical infrastructure by detecting stealth cyberattacks without the need for ...

Abstract: Infrared-visible image fusion methods aim at generating fused images with good visual quality and also facilitate the performance of high-level tasks. Indeed, existing semantic-driven ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Apple has published three interesting studies that offer some insight into how AI can improve workflows, quality, and productivity for developers.

New papers on Apple's machine learning blog detail how AI can be used for faster, cheaper, and more effective QE testing, as ...

Stealth cyber-attacks against power grids, water systems and other critical infrastructure often go undetected until it is ...

Jenna is a Senior Digital Editor for Southern Living and joined the team in 2014. She writes, produces, and assigns content with a focus on email growth and commerce content. She covers a range of ...

Table 1. Comparison of NWPA with state-of-the-art models on the VoiceBank-DEMAND dataset. Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any ...

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...

Recent advances in feature selection methods for breast cancer recurrence prediction: A systematic review. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...