Abstract: Traditional k-means clustering is widely used to analyze regional and temporal variations in time series data, such as sea levels. However, its accuracy can be affected by limitations, ...
Objective: We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal ...
Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
Spire Global has won contracts to provide the National Oceanic and Atmospheric Administration's Commercial Weather Data Program with global navigation satellite system (GNSS) radio occultation and ...
Background: Spinal muscular atrophy (SMA) is a severe autosomal recessive neuromuscular disease and a major cause of infant mortality. Türkiye implemented a nationwide premarital SMA carrier screening ...
A milestone that demonstrates how Roxi's AI-powered insight, delivered through Giatec SmartMix, is helping concrete producers improve quality, reduce variability, and achieve measurable cost savings ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results