课程特别引入大语言模型（LLM）辅助科研新范式，从Ollama本地部署到LangChain射频智能体开发，帮助学员掌握AI Agent构建方法，推动射频信号智能处理技术向自动化、精准化、自适应方向发展。 核心目标：系统学习射频数据集的构建方法，掌握CNN、LSTM、Transformer ...

Abstract: This study proposes an intelligent classification method of tobacco colour based on random forest algorithm. By collecting six grades of tobacco samples from 87 varieties of Yunnan Yuxi ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

ABSTRACT: Accurate land cover classification is essential for environmental monitoring, urban planning, and resource management. Conventional classifiers trained on raw spectral bands are often ...

ABSTRACT: Predicting knowledge of tuberculosis (TB) could imply several significant changes in the management, control and prevention of this disease. These would be based on advanced technological ...

Abstract: Random Forest is a well-known type of ensemble learning, which combines a number of decision trees to improve the prediction ability and reduce the risk of overfitting. This paper aims at ...

This project basically aims to provide a visual representation and comparative analysis of close price data related to different company ticker. It involves an interactive dashboard for users to ...