Anomaly Detection Techniques and Applications
Anomaly Detection Techniques and Applications is a topic indexed in ScholarIQ from OpenAlex.
What is known about Anomaly Detection Techniques and Applications?
This cluster of papers focuses on the detection of anomalies in high-dimensional data, particularly in the context of video analysis, surveillance, and time series data. It covers a wide range of techniques including unsupervised learning, outlier detection, deep learning, and novelty detection for identifying abnormal patterns and events.
How many works does Anomaly Detection Techniques and Applications have?
Anomaly Detection Techniques and Applications has 78,137 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Anomaly Detection Techniques and Applications have?
Anomaly Detection Techniques and Applications has 879,178 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Anomaly Detection Techniques and Applications?
The OpenAlex for Anomaly Detection Techniques and Applications is on the source record.