The core idea of LCQHNN is to center on quantum feature amplification (Quantum Feature Amplification) while combining a classical stability optimization strategy, establishing an efficient information ...

An AI detector starts with structure. It looks at sentence length. It tracks how often similar sentence shapes appear. Repeated rhythm matters more than topic. Human writing shows variation. Some ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

This paper represents a valuable contribution to our understanding of how LFP oscillations and beta band coordination between the hippocampus and prefrontal cortex of rats may relate to learning.

There are several methods for detecting whether a piece of text was written by AI. They all have limitations – and probably ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...