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 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 ...
Abstract: Terahertz (THz) communication systems show great potential to empower future high-data-rate indoor applications. However, accurately predicting of THz received signal strength (RSS) ...
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