This study introduces a sophisticated neural network structure for segmenting breast tumors.
It achieves this by combining a pretrained Vision Transformer (ViT) model with a UNet …

In resource-limited keyword spotting scenarios, the scarcity of annotated corpora hinders
deep learning's ability to develop robust models for representing acoustic features. Recent …

Tool wear monitoring (TWM) is essential for enhancing the machining accuracy of intelligent
manufacturing systems and ensuring the consistency and reliability of products. The …

Abstract Monitoring and predicting Power Quality (PQ) is crucial for quickly minimizing risk,
protecting induction machines (IMs), and increasing productivity. This paper proposes an …

This research presents an innovative framework that uses blockchain technology to improve
tumor segmentation in medical imaging. The approach tackles issues related to data …

Accurate assessment of burn severity is crucial for the management of burn injuries.
Currently, clinicians mainly rely on visual inspection to assess burns, characterized by …

Abstract Background and Objective: Acute lymphocytic leukemia (ALL) is a dangerous
disease characterized by an increased number of abnormal blood cells in the blood. Its early …

Most of the existing underwater image object detection methods involve pre-processing,
such as using underwater image enhancement, to improve the accuracy of object detection …

Abstracts Traditional rehabilitation training methods face significant challenges, such as low
repeatability and a shortage of skilled physicians. Exoskeleton robots have been recognized …

The prevalence of common bile duct (CBD) stones presents a widespread and intricate
clinical challenge that necessitates precise measurements for effective clinical management …