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 ...
These are my go-to libraries for Python data crunching.
Abstract: This paper investigates dynamic task allocation (DTA) for unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) in complex urban environments using an adaptive depth graph ...
Abstract: High-dimensional image analysis, such as Hyperspectral Imaging (HSI) data, poses unique challenges due to their high dimensionality and non-Euclidean structures, making their analysis and ...
This is a comprehensive rocket trajectory optimization system that combines advanced aerodynamic modeling, numerical integration, and multi-objective optimization to provide accurate, fast, and safe ...