Graph cover problems form a critical area within discrete optimisation and theoretical computer science, addressing the challenge of selecting subsets of vertices (or edges) that satisfy predetermined ...

Abstract: To address the challenge of full coverage path planning (CPP) for Unmanned Aerial Vehicles (UAVs) in urban road networks, this paper proposes an efficient solution method integrating Genetic ...

Abstract: Optimization based motion planning provides a useful modeling framework through various costs and constraints. Using Graph of Convex Sets (GCS) for trajectory optimization gives guarantees ...

Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...

Forecasting spread of fires in real time Reconstructing spread of historical fires Quantifying landscape-scale potential fire behavior potential Estimating annual burn probability and fire severity As ...

This directory contains code necessary to run the GraphSage algorithm. GraphSage can be viewed as a stochastic generalization of graph convolutions, and it is especially useful for massive, dynamic ...

Will you have a white Christmas this year? What do you notice about the map below? What questions does it raise for you? By The Learning Network What do you notice about the global nuclear stockpile, ...