Latest Articles for Data Collection

Researchers combine data sources to enhance molecular property predictions efficiently.

A study on muscle force and joint movement efficiency.

TSTEM enhances cyber threat intelligence through automated data collection and analysis.

Efforts to improve ASR systems for Tunisian Arabic and code-switching.

Research on globular clusters reveals their roles in galaxy formation.

A new method enhances data gathering for better language model alignment.

This article examines fear and anxiety's role in behavior and brain function.

This study examines the efficacy of multilingual models in following instructions across European languages.

A study on human values through Reddit data analysis.

A mission to study ultra-high-energy cosmic rays using a high-altitude balloon.

Explore the data-centric approach to improving AI software systems.

A look into cosmic rays and the research conducted at the Pierre Auger Observatory.

This method improves urban research by collecting public perceptions of street views.

Researching how light and seasons influence individual sleep habits and quality.

This study tests new methods for fact-checking misinformation in Turkish.

A study on how COVID-19 spread across counties using network analysis.

A new method simplifies complex multiscale problems using gradient descent.

Research on top quarks reveals insights into dark matter and particle interactions.

A project to enhance speech recognition across diverse Indian languages.

A new system evaluates ergonomic risks in skilled hand movements.

A new method improves the training of models combining image and text understanding.

A new method to enhance data collection efficiency in sensor networks.

Research explores methods to differentiate human-written code from AI-generated code.

A new technique provides detailed views of the Sun's outer layer.

Research conducts a search for gluinos using ATLAS data at the LHC.

A study on estimating velocity fields from stochastic partial differential equations.

Examining TileCal's efficiency and calibration during the LHC's high-energy collisions.

A new model speeds up the search for superconductors using machine learning.

Using data models to forecast emergencies in Edmonton for better community safety.

Creating a system to compare libraries across programming languages effectively.

This study reveals methods for detecting unusual gaps in object movement data.

A large dataset of prompts and videos advances text-to-video technology.

Research unveils crucial findings on particle behavior in high-energy collisions.

New algorithms cut data needs for detailed molecular imaging.

A look into social media's role in shaping public discourse and misinformation.

Research shows language models struggle with caused-motion constructions.

Study reveals key factors influencing wildfires in Sicily.

Discover how VR is transforming robot control through teleoperation.

New methods help visitors navigate indoor attractions using smartphones and image technology.

Research highlights improved early diagnosis methods for lung cancer using patient data.