IEEE

Hybrid Deep Machine Learning Feature Selection for High-Dimensional Cybersecurity Data

Abstract: The rapid increase in cyber threats has heightened the demand for Intrusion Detection Systems (IDS) that are both accurate and efficient. While deep learning models outperform traditional ...

Google’s New User Intent Extraction Method

Google's new user intent extraction research shows the direction they're taking for the next generation of on-device AI ...

Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

LLMs can identify major depressive disorder via voice note recordings

A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
EurekAlert!

Medical LLMs may show real-world potential in identifying individuals with major depressive disorder using WhatsApp voice note recordings

A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with major depressive disorder after analyzing a short WhatsApp audio recording ...
IEEE

Towards Optimised SORT Tracking Algorithm: Tuning the Feature Extractor Base-Model

Abstract: Multi-object tracking (MOT) is essential in applications such as surveillance, security, healthcare, and autonomous driving, where effective feature extraction is critical to the performance ...