Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...

Cervical cancer detection has witnessed significant advancements through the integration of deep learning techniques into medical imaging and diagnostic procedures. Modern deep learning methods, ...

Deep learning has emerged as a transformative force in video coding, particularly in the realm of in-loop filtering, where it is employed to suppress compression artefacts and enhance visual quality.

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

A recent study introduces an innovative method for analyzing body composition using advanced 3D imaging and deep learning techniques. This approach aims to provide more accurate assessments of body ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

We are often entertained and spend a high proportion of time on digital social media platforms like TikTok, Instagram, Facebook, Twitter(X), and Snapchat, which inform and entertain us with short-form ...