Latest Articles for Anomalies

A deep dive into fermionic systems and their anomalies.

A new method identifies unusual patterns in evolving networks to enhance anomaly detection.

A new method rapidly identifies features in lunar images without extensive human input.

LogSD improves anomaly detection in log data by focusing on infrequent events.

A novel approach improves real-time detection of rare celestial events.

Recent research sheds light on the complexities of strongly-coupled gauge theories.

A look into unexpected behaviors affecting gravitational models and their implications.

This study analyzes how floods and social events impact human movement patterns.

A framework to improve safety in automotive circuits using machine learning.

LAISS helps astronomers identify unusual celestial events amid vast data from telescopes.

A study on using tensor clustering for subway passenger analysis.

Examining fermions' behavior on curved lattice structures with domain walls.

Learn how graph analysis helps detect unusual patterns in data.

Insights into intricate microlensing events through orbital dynamics analysis.

A deep dive into WZW terms and their role in quantum chromodynamics.

SMEFT sheds light on particle interactions and potential new physics.

A new approach to identify anomalies in industrial data for better efficiency.

ARC provides a flexible solution for detecting anomalies across various graph datasets.

Explore the significance and trends in video anomaly detection across various fields.

Explore the fascinating world of phase transitions and their implications in physics.

b-CASTOR uses machine learning to find regions explaining particle physics anomalies.

Exploring the role of symmetries and anomalies in invertible field theories.

Discover key methods and applications of anomaly detection in changing data structures.

A new method enhances fault detection using multivariate time series data.

New findings challenge our view of the universe's structure through CMB anomalies.

A framework that detects anomalies in graphs while promoting fair treatment.

A machine learning approach enhances data quality in astronomical observations.

Astronomers find a new super-Earth using microlensing techniques.

Investigating abnormal behaviors in space life support systems using advanced methods.

New method enhances seizure detection in EEG data using machine learning.

Study develops automated methods to enhance accuracy in power grid load estimates.

Exploring the fascinating behavior of topological insulators and their connection to fermions.

This article discusses conformal defects and their implications in theoretical physics.

A look into dipole symmetry and its implications in field theories.

An overview of fracton theories and their implications in modern physics.

Researchers investigate unexpected events in low-energy experiments for new physics insights.

Exploring the chiral separation effect and its implications in high-energy physics.

Scientists identify giant planets outside our solar system using microlensing events.

A detection system enhances vehicle security against cyber threats using advanced techniques.

A new system improves detection of sensor anomalies in automated vehicles.