High-entropy alloys (HEAs) are metallurgy’s version of having your cake and eating it too, combining multiple elements to ...
Distinct from attention-based compression methods, this paper presents an information uniqueness driven video compression framework, termed UniComp, which aims to maximize the information fidelity of ...
Abstract: In the traditional covering information systems, each object has only one scale, that is, the single-scale covering information system. But in realistic applications, one often needs to ...
The Extreme Ultraviolet Imaging Spectrometer (EIS) on the Hinode spacecraft has substantially advanced our understanding of the Sun’s upper atmosphere. Unfortunately, after being in operation since ...
The operation and manipulation of complex systems on the nanoscale usually takes place out of equilibrium. In experiments like force spectroscopy, one observes the system under time-dependent external ...
Due to popular demand from developers, this package contains the Entropy Pooling implementation from the fortitudo.tech Python package with a more permissive BSD 3-Clause license. This package ...
Automatic segmentation methods are an important advancement in medical image analysis. Machine learning techniques, and deep neural networks in particular, are the state-of-the-art for most medical ...
Objective: Assessing brain connectivity from electrophysiological signals is of great relevance in neuroscience, but results are still debated and depend crucially on how connectivity is defined and ...
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