Explore how Lokeshkumar Madabathula combines Databricks, real-time anomaly detection, lakehouse architecture, and governed ...

A dataset for anomaly detection and localization in the 5-GHz ISM band was developed. The normal signals consisted of real-world Wi-Fi signals, whereas the anomalous signals were artificially added to ...

Researchers at Shiv Nadar University have developed a dual-path AI framework that combines a residual gated autoencoder with ...

Researchers analyze state-of-the-art approaches, limitations, and applications of deep learning-based anomaly detection in multivariate time series Monitoring financial security, industrial safety, ...

An algorithm developed by Washington State University researchers can better find data anomalies than current anomaly-detection software, including in streaming data. The work, reported in the Journal ...

The US Army Analytics Group (AAG) provides analytical services for various organizational operations and functions, including cybersecurity. AAG signed a Cooperative Research and Development Agreement ...

Anomaly detection is the process of identifying data points, entities or events that fall outside the normal range. An anomaly is anything that deviates from what is standard or expected. Humans and ...

Researchers in China have developed an unsupervised tensor decomposition algorithm that detects subtle, low-contrast fabric ...