Paper: 3D reconstruction of spatial transcriptomics with spatial pattern enhanced graph convolutional neural network Keywords: Spatial transcriptomics, 3D reconstruction algorithm, graph convolutional ...

Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling more reliable downstream tasks such as trajectory prediction and motion planning. Based on the substantial ...

Here is a good example of CSP at work. Imagine two BPSK signals with different symbol rates and slightly different center frequencies. Looking at the combined BPSK signals - created with mksig.py -d, ...

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 ...

Microsoft Excel handles temporal data effectively if you know which formulas to use. The problem is that Excel includes over 20 date and time functions, but most people only ever need a small core set ...