Latest Articles for Anomalies

A novel approach using Variational Autoencoders enhances underwater object detection.

A novel approach improves feature selection without labeled data for imbalanced datasets.

New framework improves trust in IoT data by authenticating devices via hardware performance.

This article examines rare decays of bottom quarks and implications for fundamental physics.

DCdetector effectively identifies anomalies in time series data with limited labeled examples.

Research reveals surprising interactions between massless particles and magnetic monopoles.

Exploring consistency and structure in eight-dimensional supergravity theories.

Examining particle physics anomalies that could suggest new forces or interactions.

A new method combines multiple camera views for better detection of unusual events.

ProtoAD combines prototypes with deep learning for clearer anomaly detection in time series data.

This article reviews methods for detecting anomalies in vehicle CAN communication.

Study examines methods for detecting unusual patterns in social media behavior.

A new approach enhances detection of unusual events in video footage.

New method shows promise for identifying unfamiliar medical images.

A framework to improve anomaly detection in time series data.

Recent microlensing findings reveal details about distant planets orbiting faint stars.

ROAD uses machine learning to identify data anomalies in radio astronomy.

Physicists use machine learning to analyze collision data for potential new particles.

A new approach using MUSIC algorithm for microwave imaging without traditional devices.

Research reveals potential of non-local theories in quantum electrodynamics.

A look into the study of a-anomalies in quantum field theories.

A new method improves detection of anomalies in medical imaging using unlabeled data.

This research examines Hall currents in fermion systems on finite lattices.

Examining how beta functions influence sigma models in theoretical physics.

A detection system improves safety for underwater gliders during ocean missions.

Exploring how the MUSIC algorithm identifies anomalies with limited background information.

A new model enhances training data for semantic segmentation in AI applications.

Innovative methods improve identification of rare anomalies in medical imaging.

Anomalies in particle behavior challenge existing theories in particle physics.

Scientists investigate anomalies in particle behavior, seeking new physics theories.

CREDI helps plan for fluctuations in renewable energy output.

Exploring how data-driven intelligence enhances cybersecurity strategies and automation.

Learn how world models aid in finding anomalies for autonomous vehicles.

Recent experiments suggest new physics beyond the standard model.

BiGSeT improves the detection of unusual items in complex hyperspectral images.

New method predicts anomalies in cloud services to improve performance.

Learn how anomaly detection can reveal unusual patterns in finance.

ConRo enhances fraud detection by effectively identifying harmful sessions using deep learning.

Enhancing data analysis and interpretation in healthcare using language models.

Scientists investigate exotic electric charges in 3-3-1 particle models.