Latest Articles for Anomalies

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.

This study uses machine learning to predict acid mine drainage in mining areas.

Exploring how LLMs can identify unusual data instances effectively.

SDOoop enhances real-time data analysis by detecting nuanced anomalies effectively.

New framework GenDFIR enhances the analysis of cyber event timelines.

Exploring new methods for effective big data analysis and search accuracy.

Learn how Matrix Profile detects anomalies in multidimensional time series data.

A new method improves log analysis and anomaly detection without labeled data.

A method using VAEs enhances anomaly detection in Intrusion Detection Systems.

A study on the importance of evaluation metrics in anomaly detection.

This article discusses cost-effective systems for detecting product defects.

New methods enhance accuracy in water quality monitoring by detecting sensor anomalies.

D2UE framework improves detection of anomalies in medical images using diverse model approaches.

GLAFF framework improves forecasting accuracy by effectively using timestamps and addressing data anomalies.