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 ...

We conducted intervention component analysis to identify key digital intervention features and a coding framework. All prioritized trial arms were coded using this framework and were included in ...

Abstract: Digital twins are virtual representations of real-world objects, which offer a range of possibilities and potential benefits, especially in the case of industry, where such information can ...

Abstract: Deep neural networks (DNNs) predistortion models of radio frequency (RF) power amplifiers (PAs), while offering excellent performance, typically suffer from high parameter counts and ...