Latest Articles for Data

Multi-fidelity modeling optimizes simulation accuracy while reducing computational expenses.

Research reveals complexities in early observations of Type Ib supernovae.

This research simplifies learning directed acyclic graphs from data using convex optimization.

Researchers introduce a method to better understand survey responses and individual perceptions.

Research reveals trends in animal communities over decades at rocky shore sites.

A new method helps researchers better analyze data affected by Sybil activity.

Robots can better manipulate cloth by identifying layer counts using advanced sensors.

This study highlights machine learning's role in forecasting healthcare needs during winter months.

A new system improves the speed and accuracy of video labeling.

Using machine learning to study supernova remnants across multiple wavelengths.

Omics analysis provides insights into molecular interactions and disease mechanisms.

Using deep learning to improve detection of neutron star mergers.

Fast and accurate shape estimation for soft continuum robots using neural networks.

A new method enhances freelancer and project matching efficiency across languages.

Equimetrics enhances rider and horse performance through data collection and analysis.

Dark Energy Explorers invites public participation in classifying cosmic signals.

Learn how SIMPL helps researchers understand complex brain signal data.

Study reveals how EEG can track visual focus amidst distractions.

New sites in South Africa could enhance global black hole observations.

New techniques aim to improve prostate cancer treatment through data-driven models.

A new data-driven approach enhances etch rate predictions for better semiconductor production.

A novel method to enhance predictions in sensor networks using data from clusters.

Juhaina is a new language model for Arabic and English speakers that respects cultural contexts.

Researchers establish tighter limits on rare kaon decay events after extensive analysis.

TreePPL simplifies evolutionary studies with user-friendly programming.

Researchers develop methods for better automated data wrangling code through context-rich examples.

RapidOMS offers a faster, more efficient approach to mass spectrometry analysis.

Enhancing access to primary healthcare in South Asia for better health outcomes.

Examining the pitfalls of scaling AI models beyond necessity.

A look at how averages can mislead without proper context.

Forester simplifies machine learning for R users with a user-friendly package.

A new method improves tracking accuracy in fast-moving scenes using event-based technology.

RPKI strengthens Internet routing by verifying data authenticity.

This study assesses participant diversity in the All of Us program.

A novel compressor boosts GMRES performance in solving linear equations.

CLUEY improves cell clustering and biological understanding in single-cell omics.

New study develops models to predict lightning-ignited wildfires worldwide.

A new AI tool helps assess COVID-19 risk through patient conversations.

A new approach improves detection of irregularities in industrial data using edge computing.

A new method can help researchers find mistakes in genetic data analysis.