Linear spectral unmixing is a commonly accepted approach to mixed-pixel classification in hyperspectral imagery. This approach involves two steps. First, to find spectrally unique signatures of pure ...

ARK DEFAI, a decentralized intelligence framework, is reimagining the foundations of coordination by integrating artificial ...

Plants produce a wide diversity of compounds. Broadly, these are separated into primary metabolites, which are necessary for ...

Soham Parekh, a software engineer, faces accusations of secretly juggling multiple jobs simultaneously, sparking controversy ...

The application of intelligent technology in electric power enterprises is an important content of reform, and the intelligent analysis platform of electric power big data is an important content of ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

Introduction Objective and accurate dietary monitoring is critical for comprehensive dietary assessment and improving ...

Artificial intelligence (AI) is transforming the electronic system design methodology. In early June, Graser hosted its ...

A systems-level approach to transforming health care centers structural racism as a root cause of disparities, offering a ...

Fig. 5 Subgroup analysis of algorithm performance in the prospective cohort. AUCs of different classifiers are indicated across specific subgroups defined by gender, age, NIHSS, and CHA2DS2-VASc ...