Scripps Institution of Oceanography at the University of California San Diego has received a $15 million grant from the Fund for Science and Technology (FFST). This support will expand observational ...

In industrial recommendation systems, the shift toward Generative Retrieval (GR) is replacing traditional embedding-based nearest neighbor search with Large Language Models (LLMs). These models ...

This code is used to recover two-dimensional material properties on a plane of an isolated unit brick. The file entitled "2D_Sample_Data_UPV_Experiment_DataA1.xlsx" is an example of sparsely measured ...

I like to think I have my ear to the ground in the fitness/wellness/whatever-you-want-to-call-it industry, and lately I’ve been clocking an uptick in foot-health ...

The study examined whether community-level support for substance use disorder (SUD) services was associated with youth recovery status, and whether this relationship was transmitted by peer or parent ...

This work shows how a sparse set of full-field projections stabilizes the otherwise ill-posed interior tomography problem. In interior tomography, the reconstruction quality within the region of ...

Abstract: Sparse sampling technique has important applications in modern measurement field, especially in inverse synthetic aperture radar (ISAR) imaging. However, the phase distortion of the signal ...

LCGC International spoke to Damià Barceló at the University of Almeria to explore the technical and methodological barriers to microplastic analysis in complex environmental matrices. Microplastic ...

One-bit compressed sensing is an emerging methodology that seeks to recover sparse signals from highly quantised data, where each measurement is reduced to a single bit representing its sign. This ...

Wideband signal processing and compressive sensing represent transformative approaches to the acquisition and reconstruction of signals across expansive frequency bands. Traditional methods that ...