Abstract: Currently, deep learning-based joint source channel coding (JSCC) methods have achieved significant progress in enabling semantic communication. However, existing methods of this type often ...

Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...

Abstract: The limitations of seismic vertical resolution pose significant challenges for the identification of thin beds. Improving the vertical resolution of seismic data using deep learning methods ...

For nanoscale X-ray imaging, scanning-based techniques are widely used, but the scanning process often becomes a bottleneck for measurement speed. Scanless, single-shot imaging provides a promising ...

Network incidents can escalate quickly, but the biggest delays often occur after the initial alert as teams work to gather context, determine ownership, and coordinate a response across multiple ...

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...