STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
Plugin Support - Supports common plugins like PySide6, Tkinter, etc. Choose the Python interpreter from the environment where the files will be packaged Example: ...
Abstract: In recent years, the integration of Wi-Fi, pedestrian dead reckoning (PDR), and indoor map for smartphone-based indoor positioning has gained significant attention due to its low cost, easy ...
Abstract: In this paper, we introduce IRM-Net, a novel variant of the U-Net architecture designed for indoor radio map estimation. IRM-Net incorporates two principal improvements over the standard ...
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