Object detection is one of the most important and challenging branches of computer vision,
whose main task is to classify and localize objects in images or videos. The development of …

Recently, the attention mechanism boosts the performance of many neural network models
in Natural Language Processing (NLP). Among the various attention mechanisms, Multi …

Chronic Low Back Pain (CLBP) afflicts millions globally, significantly impacting individuals'
well-being and imposing economic burdens on healthcare systems. While artificial …

Accurate prediction of soybean yield is important for safeguarding food security and
improving agricultural management. Recent advances have highlighted the effectiveness …

In this paper, we propose a novel architecture, the Enhanced Interactive Transformer (EIT),
to address the issue of head degradation in self-attention mechanisms. Our approach …

Understanding telecom standards involves sorting through numerous technical documents,
such as those produced by the 3rd Generation Partnership Project (3GPP), which is time …

Nowadays, state estimation is widely used in fields such as autonomous driving and drone
navigation. However, in practical applications, it is difficult to obtain accurate target motion …

This study explores a method for the dynamic modeling of soft robots, focusing on
enhancing the deep learning-based Lagrangian modeling approach through the attention …

In this work, we tackle the head degradation problem in attention. We propose an\textbf {E}
nhanced\textbf {I} nteractive\textbf {T} ransformer (\textsc {Eit}) architecture in which the …

Confront the evaluation quality problems caused by high data dimension and imbalance
between positive and negative samples in the network security situation, this paper …