Abstract: By focusing on the structure exploration and information propagation from non-Euclidean data space, graph convolutional neural network (GCN), which can extract abundant and discriminative ...

Porcelain fragment classification is crucial for cultural relic restoration. Traditional manual methods relying on macroscopic features struggle to balance accuracy and efficiency. This study proposes ...

Abstract: In this paper, we present a motion planning algorithm designed to guide agents, termed as player agents, optimally through multi-agent 3D urban air environments. The method integrates a ...

Dr. James McCaffrey of Microsoft Research says the main advantage of using Gaussian naive Bayes classification compared to other techniques like decision trees or neural networks is that you don't ...