Abstract: Under the linear spectral mixture model, hyperspectral unmixing can be considered as a convex geometry problem, in which the endmembers are located in the vertices of simplex enclosing the ...
Abstract: Hyperspectral unmixing (HU) is a crucial signal processing procedure to identify the underlying materials (or endmembers) and their corresponding proportions (or abundances) from an observed ...
Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...
Stretching protein samples in all directions pulls molecules farther apart, allowing them to be visualized using only light ...
ChatGPT's breakthrough is not what it seems.
When many of us think about how drugs work in the body, we may first think about how a drug gets into the body, such as a pill versus an injection. In the Gellman Group at the UW–Madison Department of ...
The ITAT Delhi held that the Revenue could not substitute the assessee's consistent method of revenue recognition with the Percentage of Completion Method for only one assessment year. It deleted the ...
CDVAE, a symmetry-aware generative AI framework that embeds space-group information into the generation of crystal structures ...
Accurate prediction of which patients with mild cognitive impairment (MCI) will progress to dementia remains a major challenge. Current biomarkers detect amyloid pathology with high accuracy but offer ...
Correspondence to Dr Piergiorgio Neri, The Ocular Immunology Service, Università Politecnica delle Marche, Ancona-Italy, Via Conca 71, Ancona 60126, Italy; p.neri{at}univpm.it Purpose Kyrieleis ...
Here, we benchmark five global optimization methods for three typical nano-optical optimization problems: particle swarm optimization, differential evolution, and Bayesian optimization as well as ...
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