An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...
Abstract: Dynamic parameter identification is a general means to establish an accurate dynamic model and achieve model-based high-precision torque control. Generally, the traditional model-based ...
CLEVELAND, Ohio — If you’re looking for the decisive matchup in Sunday’s Browns-Vikings London showdown, stop searching. Cleveland’s ferocious defensive front against Minnesota’s patchwork offensive ...
The biggest question for the Las Vegas Raiders heading into the new season is what the offense is going to look like. Not in terms of what players are going to be starting, but in terms of what system ...
Great River Energy’s dynamic line rating (DLR) project is the largest DLR deployment to date in the U.S. based on the number of sensors installed. Early results identified a 48.92% increase in power ...
Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...
Abstract: Graph-structured data are pivotal for modeling evolving systems such as social interactions or biological networks. While graph embedding techniques map nodes into low-dimensional spaces to ...
There will be light rail cars running on a mile-long track of the Purple Line in Maryland as “dynamic testing” begins. The testing will be adjacent to the project’s operations and maintenance facility ...
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