In this paper, a signal-guided masked autoencoder (S-MAE) based semi-supervised learning framework is proposed for high-precision positioning with limited labeled channel impulse response (CIR) ...

With the rapid development of mobile internet and location awareness techniques, massive spatio-temporal data is collected every day. Trajectory classification is critically important to many ...

About Implementations for the "Optimized CNN and CRNN for Advanced Classification and Regression" project. Includes a Multi-Task CNN with feature map visualization for Multi-MNIST (multi-label ...