Abstract: Short-term passenger flow prediction of urban rail transit is very important to traffic management. The prediction result is a key input for the crowd early warning system. However, a ...

In this repository we provide an implementation of the Heterogeneous Knowledge Distillation approach using Information Flow Modeling, as described in our paper, which is capable of transferring the ...

Abstract: Optimal power flow (OPF) is one of the most important optimization problems in the energy industry. In its simplest form, OPF attempts to find the optimal power that the generators within ...

TripoSG is an advanced high-fidelity, high-quality and high-generalizability image-to-3D generation foundation model. It leverages large-scale rectified flow transformers, hybrid supervised training, ...

The rapid deployment of solar photovoltaic (PV) systems has created a growing challenge in managing end-of-life panels. While many studies project future recycling potential, they are often limited by ...