Latest Articles for Anomalies

FATE improves text anomaly detection using few labeled examples and innovative learning techniques.

An overview of multi-loop effective field theories and their significance in physics.

This method combines various techniques for better identifying anomalies in time-series data.

This framework aids in classifying telecommunication network performance anomalies efficiently.

A new method enhances machine operator support through data and expert knowledge fusion.

LogGPT uses ChatGPT for automated log analysis and anomaly detection.

New methods enhance the clarity and analysis of brain scans.

This article discusses Higgs boson rare decay processes and their implications for particle physics.

Research on X17 particle reveals exciting insights into nuclear physics.

Utilizing digital twins for improved anomaly detection in train control management.

New model improves object recognition for enhanced road safety.

Examining the role of chiral gauge theories in particle physics dynamics.

Scientists investigate anomalies and the potential existence of new particles.

A framework to detect log anomalies by analyzing relationships among events.

A new approach to identify peak-pattern anomalies in watershed monitoring.

Study reveals discrepancies in CMB radiation between hemispheres, challenging cosmological principles.

Exploring the complexities of non-invertible duality symmetries in quantum field theories.

A look into the MiniBooNE anomaly and its implications for neutrino physics.

Research on detecting unusual objects in autonomous vehicles through advanced imaging techniques.

An overview of symmetries and anomalies in quantum field theories.

New measurements reveal anomalies in meson behavior, prompting a reevaluation of existing theories.

Explore TRACE-GPT's innovative approach to enhance fault detection using time-series data.

Exploring the significance of DVCS and anomalies in hadron physics.

LogGPT offers improved methods for detecting anomalies in log data.

A new system uses machine learning to improve data quality monitoring in experiments.

New measurements challenge the Standard Model, hinting at unknown physics.

Exploring recent anomalies in particle physics and their implications for new discoveries.

MA-VAE enhances detection of anomalies in automotive powertrain data.

Honoring a physicist's major contributions to quantum gravity and related fields.

Exploring how non-local effects reshape our understanding of quantum electrodynamics.

Learn how Ginsparg-Wilson relations impact the behavior of fermions in physics.

A machine learning approach improves data quality monitoring in high-energy physics experiments.

A new method enhances root cause analysis for IT monitoring systems.

Exploring the impact of compact dimensions on Lorentz invariance and quantum electrodynamics.

Researchers identify four new planets and seven candidates using KMTNet data.

This work introduces a method to analyze time series data and detect anomalies in water treatment processes.

A comprehensive approach to detect anomalies in aircraft operations using advanced methods.

A look at the evolving role of symmetries in quantum physics.

Researchers identified new microlensing planets during the 2023 season.

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