A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has developed an innovative machine learning framework ...

The classification of carotid plaques is crucial for assessing the risk of cardiovascular diseases. Recently, deep learning has emerged as a promising solution for automatic carotid plaque ...

Bill McColl has 25+ years of experience as a senior producer and writer for TV, radio, and digital media leading teams of anchors, reporters, and editors in creating news broadcasts, covering some of ...

In large public multi-site fMRI datasets, the sample characteristics, data acquisition methods, and MRI scanner models vary across sites and datasets. This non-neural variability obscures neural ...

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

23andMe customers who once turned over the most personal form of information to the company — their own genetic data — may want it back after the personal genomics and biotech startup declared ...

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min Armed with $20 million, a ...

Abstract: Support matrix machine (SMM) based methods have revolutionized the field of state identification by effectively mining correlations between fault features. However, some flaws limit its ...