By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM2.5) poses a significant health- and climate-risk, yet ...
Abstract: Hyperparameter tuning is a crucial step in the development of machine learning models, as it directly impacts their performance and generalization ability. Traditional methods for ...
Abstract: The objective of optical super-resolution (SR) imaging is to acquire reliable sub-diffraction information on bioprocesses to facilitate scientific discovery. Structured illumination ...
Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...
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