CORTEXA
← Browse

Related papers

crossrefElectronics2026-04-28

Enhancing Intrusion Detection Systems Using Machine Learning and Advanced Feature Selection Methods

Ahmed Abu-Khadrah, Shaima AlKhudair, Mohammad R. Hassan, Ali Mohd Ali, Tareq A. Alawneh, Emad Alnawafa, et al.

Machine learning helps intrusion detection systems learn new assaults quickly. These systems train on a dataset with several threats and may identify odd behavior. This research detects intrusion using Random Forest, KNN, and Gaussian Naive Bayes. We run the model on a comprehens…

View free PDFSource page
crossrefElectronics2022-05-19Cited by 13

Smart Home: Deep Learning as a Method for Machine Learning in Recognition of Face, Silhouette and Human Activity in the Service of a Safe Home

George Vardakis, George Tsamis, Eleftheria Koutsaki, Kondylakis Haridimos, Nikos Papadakis

Despite the general improvement of living conditions and the ways of building buildings, the sense of security in or around them is often not satisfactory for their users, resulting in the search and implementation of increasingly effective protection measures. The insecurity tha…

View free PDFSource page
crossrefElectronics2024-07-18Cited by 7

Optimizing Traffic Scheduling in Autonomous Vehicle Networks Using Machine Learning Techniques and Time-Sensitive Networking

Ji-Hoon Kwon, Hyeong-Jun Kim, Suk Lee

This study investigates the optimization of traffic scheduling in autonomous vehicle networks using time-sensitive networking (TSN), a type of deterministic Ethernet. Ethernet has high bandwidth and compatibility to support various protocols, and its application range is expandin…

View free PDFSource page
crossrefElectronics2024-12-17Cited by 10

Towards Data-Driven Hydration Monitoring: Insights from Wearable Sensors and Advanced Machine Learning Techniques

Apparaju Sreeharsha, Sarah McHale, Nonso Nnamoko, Ella Pereira

Advancements in wearable sensors and digital technologies/computational tools (e.g., machine learning (ML), general data analytics, mobile and desktop applications) have been explored in existing studies. However, challenges related to sensor efficacy and the application of digit…

View free PDFSource page