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

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.

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

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 ...

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

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

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 ...

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 ...