InfoQ

Anomaly Detection for Time Series Data with Deep Learning

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Kenneth Harris, a NASA veteran who worked on ...
JSTOR Daily

Advancing anomaly detection in cybersecurity : deep learning-based hybrid models for system call sequence analysis

A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy In Computer Science and Engineering. This dissertation focuses on improving anomaly detection ...
EDN

AI development platform enables anomaly detection

Imagimob AI, a development platform for building tinyML applications for edge devices, adds support for deep learning anomaly detection. Deep anomaly detection—the identification of rare items, events ...
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 ...
The Next Platform

Using Python to Snake Closer to Simplified Deep Learning

On today’s episode of “The Interview” with The Next Platform, we discuss the role of higher level interfaces to common machine learning and deep learning frameworks, including Caffe. Despite the ...