MXene/PDA textile structure flexible pressure sensor sign language recognition deep learning Read this article To access this article, please review the available access options below.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Harnessing deep learning for automated CTC detection and characterization of the blood cells interacting with CTCs holds the potential to advance prognostic evaluations and guide more effective ...

The popular deep learning-based karst caves recognition methods have higher precision than the traditional karst caves recognition approaches; however, they still face great challenges in processing ...

American Sign Language (ASL) recognition systems often struggle with accuracy due to similar gestures, poor image quality and inconsistent lighting. To address this, researchers developed a system ...

Is your feature request related to a problem? Please describe. Managing and visualizing complex database schemas in HeidiSQL currently requires manual SQL editing, making it harder to grasp ...

Understanding the tensile mechanical properties of Al–Er alloys at the atomic scale is essential, and molecular dynamics (MD) simulations offer valuable insights. However, these simulations are ...

Therefore, this paper intends to combine the visual deep learning and transfer learning methods, and combine the unique characteristics of the rail surface state, and realize the effective recognition ...

NVIDIA collaborates on an AI-driven platform, Signs, to advance American Sign Language learning and development, bridging communication gaps between deaf and hearing communities.