Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...
Dot Physics on MSN
Physics motion graphs: position, velocity, and time analysis
Learn how to analyze motion graphs in physics, including position-time and velocity-time graphs. This video explains slopes, areas, and motion behavior to help you clearly interpret real physics ...
We go in depth on black holes: the strangest objects in the universe! Black holes are not just the strangest objects in the universe, they're the sharpest test we have of how reality actually works.
Scientists have created a new way to watch plants breathe—live and in high definition—while tracking exactly how much carbon and water they exchange with the air. The breakthrough could help unlock ...
Abstract: This article presents River2, a tightly coupled multi-radar and multi-IMU velocity estimation framework based on continuous-time optimization. By utilizing a robust map-free estimation ...
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