Latest Articles for Data Analysis Techniques

This study uses machine learning to enhance jet energy calibration at the LHC.

Recent findings in top-quark physics enhance our grasp of particle interactions.

A novel approach reduces memory and computation needs in studying complex fluid flows.

Discover how neurons communicate to shape our sensory experiences.

A new model improves particle jet tagging accuracy using advanced graph techniques.

Investigating muon-electron scattering for better understanding of the muon's magnetic moment.

Exploring the impact of machine learning on phase transitions in physics.

This paper examines error bounds in hierarchical Bayesian models for high-dimensional parameters.

Recent improvements reduce analysis time in plasma experiments, enhancing efficiency in data collection.

A new framework improves how we measure severity in X-ray images.

New methods improve acoustic modeling of the Earth's subsurface for various industries.

Exploring local differential privacy methods for secure graph analysis.

A new model enhances accuracy in estimating young bird numbers for conservation.

YingLong improves short-term weather predictions using deep learning and high-resolution data.

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

New techniques improve testing safety for self-driving cars.

This study reviews the ToF detector's performance during Run 2 of the LHC.

Methods for reducing dimensions while preserving data structures.

Research sheds light on pulsar magnetic moments through advanced data techniques.

Scientists investigate potential new particles through high-energy collisions at the LHC.

Discover how new methods improve efficiency in complex scientific problems.

This study assesses surrogate models for efficiency and accuracy in optimization tasks.

A new algorithm enhances pipeline health monitoring using ultrasonic guided waves.

This article discusses a new approach for identifying damage in rolling element bearings through vibrations.

Research examines rare interactions between top quarks and Higgs bosons.

Researchers develop a flexible approach to find gravitational waves from neutron stars in binary systems.

Researchers investigate four top quark events to uncover potential new physics.

A workshop discusses key findings in B meson mixing and its implications.

A new method enhances the study of turbulent flows through localized analysis.

Research delves into dark matter detection using advanced machine learning techniques.

This method identifies anomalies in images using limited samples.

Introducing an innovative method to detect anomalies in complex data patterns.

A look at MDI-LR algorithm's efficiency in complex integration.

New methods enhance discovery of predictive biomarkers from medical images.

A study on preserving privacy while analyzing sensitive data using differential privacy techniques.

Researchers identify potential runaway AGNs, advancing our knowledge of supermassive black holes.

A study on how different elements impact each other in various systems.

A look at the significance of aperiodic activity in brain signal analysis.

HAT-P-11 reveals unique planetary dynamics with notable orbit misalignment.

New methods improve understanding of galaxies and their central black holes.