A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...

Abstract: Accurately predicting the trajectories of surrounding agents is critically important for the safe operation of autonomous vehicles. However, complex environments not only increase the ...

Human motion prediction aims to forecast future motions based on historical motion sequences. Graph Convolutional Networks (GCNs) are widely used in this field. However, the high computational cost of ...

Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...

If you're a soccer fan, you're familiar with this common sight: A penalty kick is in place, with a "wall" of defenders lined ...

Yang, R. and Wang, H. (2025) Application Research on Close-Range Photogrammetry Acquisition and Processing Technology for ...

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

Discover Benjamin Graham's value investing method, including its meaning, formula, and a practical example of its application for smarter stock choices.

Recent advances in space robotics have underscored the need for modeling, estimation, and control frameworks that respect the intrinsic geometry of ...