This study proposes an efficient fine art image classification method integrating lightweight deep learning to address the limitations of low efficiency and poor generalization in art image ...

Can deep learning be used effectively in photonic device development? This perspective critically examines the growing emphasis on deep learning frameworks by highlighting persistent challenges in ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Most of the earthquakes we hear about are due to tectonic plates colliding or sliding past each other near plate boundaries.

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...