A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

If you build it, they will come.

The U.S. Army Aviation and Missile Command’s Business Transformation Office (BTO) recently spearheaded a command-wide ...

Although DNA is tightly packed and protected within the cell nucleus, it is constantly threatened by damage from normal ...

This article describes mechanisms for continuously executing the Military Decision-Making Process (MDMP) during Large Scale ...

Why some memories persist while others vanish has fascinated scientists for more than a century. Now, new research from the ...

Metal Organic Frameworks have enjoyed a brighter spotlight in recent years - especially after the Nobel Prize win in ...

A cornerstone of effective STCO is the ability to conduct multi-domain analyses—for example, signal integrity, power ...

Older adults who experience delirium after hip fracture surgery face a significantly faster decline in memory and thinking ...