A Knowledge Extraction Pipeline between Supervised and Unsupervised Machine Learning Using Gaussian Mixture Models for Anomaly Detection. R Chefira, S Rakrak J. Comput. Sci. Eng. 15 (1), 1-17, 2021 | 5 | 2021 |
Accuracy assessment of applied supervised machine learning models on usual data probability distributions R Chefira, S Rakrak Journal of Physics: Conference Series 1743 (1), 012011, 2021 | 3 | 2021 |
Enhancing decision making through combined classification techniques and probabilistic data analysis for ubiquitous healthcare anomaly monitoring R Chefira, S Rakrak Applied Sciences 9 (22), 4802, 2019 | 3 | 2019 |
Transforming Emergency Care : A Blockchain-Powered Smart Admission Monitoring System R CHEFIRA, R BELKEZIZ, MY SAMIRI, S RAKRAK Blockchain for IoT Systems 1, 14, 2024 | | 2024 |
Investigating IoT-Enabled 6G Communications: Opportunities and Challenges R Belkeziz, R Chefira, O Tibssirte International Conference on Computing, Intelligence and Data Analytics, 404-419, 2023 | | 2023 |
Internet of Things: A rule-based analysis applied to a ubiquitous healthcare system R CHEFIRA, S RAKRAK International Journal of Computing Academic Research 6 (4), 118-124, 2017 | | 2017 |
Internet of Things: A Healthcare Ubiquitous-Based Approach for Medical Seizure Prevention R CHEFIRA, S RAKRAK International Journal of Computing Academic Research 6 (2), 77-82, 2017 | | 2017 |