At ARVO 2025, in Salt Lake City, Utah, Patipol Tiyajamorn, talked about his poster on using graph neural networks to identify ...

When pollinators visit flowers, they produce various sounds, from wing flapping during hovering, to landing and takeoff. Scientists studied these vibroacoustic signals to develop noninvasive and ...

Planting flower strips in a field with at least two species can increase the number of natural enemies of pests by 70%. The ...

But as mobile hardware advances, Machine Learning (ML) techniques, particularly Graph Neural Networks (GNNs), are emerging as a powerful, efficient alternative to emulate physics on mobile. GNNs are ...

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Various distinguishing colorings of graph theory can help us to encrypt dynamic networks wholly, although it is a new topic of network security. We use ice-flower systems to construct lattices ...

Abstract: The enumeration of spanning trees in a finite graph is an important problem related to various domains of mathematics, physics and network reliability that has been investigated by many ...