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Keyword: Unsupervised machine learningOpen AccessArticle
10 Pages, 2,622 KB 
Detection of Event-Related Potential Artifacts of Oddball Paradigm by Unsupervised Machine Learning Algorithm
Abstract:
Electroencephalography (EEG) is one of the most common and benign methods for analyzing and identifying abnormalities in the human brain. EEG is an incessant measure of the activities of the human brain. In contrast, when the measurement of EEG is bounded by time and the EEG is synchronized to an exterior stimulus, is known as…
Read More(This article belongs to the SP13 (Special Issue on Innovation in Computing, Engineering Science & Technology 2022) & Section Neuroimaging (NUM))
Open AccessArticle
20 Pages, 379 KB
Hybrid Intrusion Detection Using the AEN Graph Model
Abstract:
The Activity and Event Network (AEN) is a new dynamic knowledge graph that models different network entities and the relationships between them. The graph is generated by processing various network security logs, such as network packets, system logs, and intrusion detection alerts, which allows the graph to capture security-relevant activity and events in the network.…
Read More(This article belongs to the SP14 (Special Issue on Computing, Engineering and Multidisciplinary Sciences 2022-23) & Section Hardware & Architecture in Computer Science (CHA))