Abstract: Pneumatic artificial muscles (PAMs) have been widely applied to robotic systems, especially assistive devices, which could benefit from PAMs’ intrinsic viscoelasticity. However, nonlinearity ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Many computational or high-throughput wet-lab analyses of genomes identify chromosome locations that have some biological function or property. We may then want to search for dense clusters of such ...

Abstract: Deep reinforcement learning (DRL) methods have been widely applied in distributed multi-robotic systems and successfully realized autonomous learning in many fields. In these fields, robots ...

The spring constant, commonly denoted by the symbol (k), is a fundamental property that describes the behavior of a spring under an applied force. It is a measure of the stiffness of a spring, and it ...

In the world of physics and engineering, one of the core concepts is that of Hooke’s Law – a fundamental principle that defines the behavior of springs in response to an applied force. As part of this ...

DOUGLAS COUNTY — The beginning of spring not only means warmer temperatures and greener grass, it also means pothole season. Dane Bosl, Alexandria Public Works director of streets, said his staff is ...

I have to learn similarity between graphs using deep learning. I have many samples (~500k) of graphs. Graphs have ~5000 nodes and ~4000 edges in the average. How can I compute similarity score between ...