datanami.com

Chung-Ang University Researchers Review Deep Learning-based Methods to Detect Time Series Data Anomaly

SEOUL, Feb. 9, 2023 — Monitoring financial security, industrial safety, medical conditions, climate, and pollution require analysis of large volumes of time series data. A crucial step in this ...
Business Wire

Falkonry Unveils GPU-Based, High-Speed Time Series Anomaly Detection Application

CUPERTINO, Calif.--(BUSINESS WIRE)--Falkonry today announced an automated anomaly detection application called Falkonry Insight which operates on high-speed sensor time series data. Insight is the ...
Devdiscourse

AI for Energy Security: Study Compares LSTM and FFNN in Solar Grid Anomaly Detection

Researchers from Noida International University and Dayananda Sagar University explored deep learning models for anomaly detection in solar power systems, comparing LSTM, FFNN, and Isolation Forest ...
SDxCentral

Lacework Automates Time Series Analysis for Cloud Anomaly Detection

Lacework added an automated time-series modeling to its existing anomaly detection capabilities and enhanced its alert system for better threat detection and investigation at scale. Polygraph then ...

Zhoupu Data Obtains Patent for Machine Learning Anomaly Detection, Empowering Intelligent Business Processes **AI Patent**

The patent obtained by Zhoupu Data focuses on utilizing machine learning technology for business process anomaly detection. In the context of accelerated digital transformation, the demand for process ...