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 ...

Abstract: Taking into account the off-grid effect and clutter, a tailored compressive sampling (CS)-based algorithm is developed to estimate the Direction of Arrival (DOA) in radars that use ...

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 ...

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 ...

The understanding of mental health recovery has undergone a substantial paradigm shift in the past 40 years, evolving from a clinically-oriented model to a more person-centered approach (1, 2).

There’s a strange allure to single-pixel cameras due to the simultaneous simplicity and yet fascinating features that they can offer, such as no set resolution limit. That said, the typical ...

Video generation, a branch of computer vision and machine learning, focuses on creating sequences of images that simulate motion and visual realism over time. It requires models to maintain coherence ...