Latest Articles for Anomalies

This article examines the link between entanglement, mixed states, and anomalies in quantum systems.

A look at how new symmetries could address Standard Model anomalies.

Introducing a framework to enhance anomaly detection in Federated Learning systems.

A new model enhances vehicle safety by identifying unseen attack patterns.

Anomalies reveal critical insights into particle interactions and quantum effects.

New methods improve shape study on curved surfaces.

Advancements in brain imaging enhance Alzheimer's disease diagnosis and understanding.

A new method for identifying anomalies in medical imaging through pseudo-healthy reconstruction.

New method enhances identification of unusual events in video footage.

New framework improves anomaly detection through automated data alteration tuning.

DOUST uses test-time training to improve outlier detection without needing labeled data.

A new framework improves power grid monitoring using advanced technology.

Introducing Dynamic Distinction Learning for improved anomaly detection in surveillance videos.

A study on enhancing data reliability and quality in sensor monitoring.

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.