Latest Articles for Anomaly Detection

A new method uses anomaly detection for improved vulnerability identification in software.

New system tracks electricity prices in real-time to aid consumer decisions.

This article examines the use of transfer learning for anomaly detection in HCAL data.

Robots enhance their mobility by learning to predict terrain characteristics.

How generative AI enhances safety and compliance in self-driving vehicles.

Using simplicial complexes to improve network intrusion detection and security analysis.

FADE detects flaws in images with limited normal samples using vision-language models.

New methods combine density estimation and deep learning for effective anomaly detection.

A new model merges diffusion processes and transformers for better time series analysis.

Improving cybersecurity through enhanced anomaly detection using GNNs.

GenRep offers a novel approach to identifying unusual machine sounds with limited data.

Quantum machine learning enhances anomaly detection for improved security in various sectors.

A new method for traffic sampling in dynamic network conditions.

Anomaly detection is key to ensuring vehicle safety and reliability.

New methods improve anomaly detection by adapting atom sizes in dictionary learning.

Texture-AD dataset bridges data gaps in industrial anomaly detection.

Exploring quantum computing's role in enhancing anomaly detection for cyber-physical systems.

A new method enhances anomaly detection by using synthetic examples.

A new method combines video, audio, and algorithms for better anomaly detection.

Research reveals how drones can be tricked into unsafe flight paths.

A new approach improves detection of irregularities in industrial data using edge computing.

New methods improve actuator security in Cyber-Physical Systems to prevent attacks.

This article investigates the threats posed by poisoning attacks on database systems.

This article discusses enhancing unsupervised anomaly detection using classification methods.

Discover how tensor networks enhance anomaly detection across various fields.

A comprehensive dataset for network traffic analysis and anomaly detection.

A new dataset enhances anomaly detection for safer power line maintenance.

Digital Twin Networks transform how we improve physical network performance using AI.

Scientists find better ways to spot rare signals in data.

Discover how conditional models can create meaningful event traces.

Learn about MISGUIDE and its role in enhancing smart grid security.

Analyzing the impact of vaccination and socioeconomic factors on COVID-19 trends.

Learn how anomaly detection protects sensitive data from threats.

Learn how technology helps identify anomalies in video footage.

This article examines zero-shot techniques for detecting anomalies in medical images.

Examining new methods to spot unusual events in particle collisions.

SADDE identifies strange data activity while explaining its decisions.

SemiKong is a language model designed for the semiconductor industry's unique challenges.

A new technique for identifying unusual data points effectively.

Analyzing how smart machines enhance defect detection in manufacturing.