Latest Articles for Anomalies

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.

A novel approach enhances the identification of rare events in particle collisions.

Exploring quantum gravity's degrees of freedom and its implications for the universe.

Wind energy is rising, but operational costs remain a challenge for sustainability.

Recent findings challenge established physics theories about muons and W bosons.

TeVAE model efficiently identifies anomalies in vehicle powertrain tests using time-series data.

Exploring the benefits of Federated Learning for anomaly detection in IoT networks.

A look into the relationship between axions and Yang-Mills theory in particle physics.

A new method enhances detection of fetal brain issues in ultrasound images.

Learn how to identify unusual patterns in time-series data with Markov depth.

Investigating cosmic topology's impact on the cosmic microwave background reveals surprising patterns.

A new approach to enhance anomaly detection in microservices using simulation and real user behavior.

Using UMAP to spot labeling errors in medical image datasets.

Improving quality control through better detection of logical anomalies in products.

A new system enhances brain MRI reporting for radiologists.

A model presents new particles to explain surprising mass measurements.

A look at the importance and challenges of anomaly detection in various fields.

A new method for detecting anomalies in temporal knowledge graphs.

Researchers identify new planets using microlensing techniques in recent astronomical events.

A new machine learning approach improves data quality monitoring in particle physics.

Exploring defects' role in six-dimensional superconformal field theories.

New method improves anomaly detection in medical images without prior labels.

Exploring the role of symmetries and anomalies in particle interactions and meson behavior.

Explore how symmetry shapes the behavior of physical systems.

Swarm-Net enhances IoT security using SRAM and Graph Neural Networks.

Researchers face hurdles in measuring nucleon behavior in particle physics.

Introducing an easy approach for identifying unusual items in datasets.

A new method, SHEDAD, enhances detection of issues in district heating systems.