The large data scale and computational resources required by Convolutional Neural
Networks (CNNs) hinder the practical application on mobile devices. However, channel …

Large Language Models (LLMs) represent a class of deep learning models adept at
understanding natural language and generating coherent text in response to prompts or …

Magnification-independent (MI) classification is considered a promising method for detecting
the histopathological images of breast cancer. However, it has too many parameters for real …

Transformer based large language models have achieved tremendous success. However,
the significant memory and computational costs incurred during the inference process make …

Acne seriously affects people's daily life. Acne severity level grading plays a decisive role in
the cure. However, the acne criterion is not unified in the medical field. Most of the current …

Electrocardiography (ECG) is a crucial tool for diagnosing cardiovascular diseases. In
particular, combining clinical ECG with computer technology for automatic ECG analysis can …

Abstract You Only Look Once (YOLO), known for its real-time performance and outstanding
accuracy, has emerged as a prominent framework for object detection tasks. However …

To enhance the efficiency of language models, it would involve optimizing their training and
inference processes to reduce computational demands while maintaining high performance …

To achieve optimal performance in practical applications, the electrocardiogram (ECG)
diagnosis models have to be personalized using the ECG data of specific patients. Most …

为解决限位栏场景下经产母猪查情难度大, 过于依赖公猪试情和人工查情的问题,
提出了一种基于改进YOLO v5s 算法的经产母猪发情快速检测方法. 首先, 利用马赛克增强方式 …