Abstract: Reliable and efficient trajectory generation methods are a fundamental need for autonomous dynamical systems. The goal of this article is to provide a comprehensive tutorial of three major ...

Abstract: This paper presents a tutorial on the Tracking, Telemetry, and Command (TT&C) for spacecraft and satellite missions. In particular, it provides a thorough summary of the design of the TT&C, ...

Disclaimer: I hope this tutorial will be useful to others wishing to run molecular dynamics simulations of membrane proteins with AMBER. However, it is as much for my own reference as a guide to ...

The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...

MR-DELTAnet模型不再局限于分析单张静态影像，而是创新性地整合了治疗前后的MRI动态变化。 其利用先进的Transformer编码器与交叉注意力机制（Cross-Attention），就像经验丰富的侦探，通过对比治疗前后的“两张照片”来精准锁定差异，量化治疗过程中肿瘤区域的细微变化（Delta特征），从而敏锐捕捉病理演化的轨迹。