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 ...
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 Conversation

Deepfake detection improves when using algorithms that are more aware of demographic diversity

Siwei Lyu receives funding from the National Science Foundation and DARPA. Yan Ju receives funding from US Defense Advanced Research Projects Agency (DARPA) Semantic Forensic (SemaFor) program, under ...
Heart

Retinal image-based deep learning for mild cognitive impairment detection in coronary artery disease population

Background Coronary artery disease (CAD) is linked to an increased risk of mild cognitive impairment (MCI). Effective and ...