Cooperative Learning Groups: A New Approach Based on Students’ Performance Prediction von Bousalem, Zakaria, Qazdar, Aimad, El Guabassi, Inssaf

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Artificial Neural Networks with K-Fold Cross-Validation and Feature Selection for Early Heart Disease Prediction von El Guabassi, Inssaf, Bousalem, Zakaria, Marah, Rim, Haj, Abdellatif

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XMap: A Novel Approach to Store and Retrieve XML Document in Relational Databases von Bousalem, Zakaria

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A Recommendation System Based on Early Academic Performance Prediction and Student Classification: Utilizing Artificial Intelligence and Mobile-Based Application von Bousalem, Zakaria, QAZDAR, Aimad, EL GUABASSI, Inssaf, Haj, Abdellatif

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Personalized adaptive content system for context-aware ubiquitous learning von El Guabassi, Inssaf, Bousalem, Zakaria, Al Achhab, Mohammed, JELLOULI, Ismail, EL Mohajir, Badr Eddine

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A Recommender System for Predicting Students' Admission to a Graduate Program using Machine Learning Algorithms von El Guabassi, Inssaf, Bousalem, Zakaria, Marah, Rim, Qazdar, Aimad

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Comparative Analysis of Supervised Machine Learning Algorithms to Build a Predictive Model for Evaluating Students’ Performance von El Guabassi, Inssaf, Bousalem, Zakaria, Marah, Rim, Qazdar, Aimad

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Toward Adaptive and Reusable Learning Content Using XML Dynamic Labeling Schemes and Relational Databases von Bousalem, Zakaria, El Guabassi, Inssaf, Cherti, Ilias

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Identifying learning style through eye tracking technology in adaptive learning systems von Guabassi, Inssaf El, Bousalem, Zakaria, Al Achhab, Mohammed, Jellouli, Ismail, EL Mohajir, Badr Eddine

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Smart Grid: A Communication Model and Security Challenges von Marah, Rim, El Guabassi, Inssaf, Bousalem, Zakaria, Haj, Abdellatif

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RSEPUA: A Recommender System for Early Predicting University Admission von El Guabassi, Inssaf, Bousalem, Zakaria, Marah, Rim, Qazdar, Aimad

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Forecasting Students’ Academic Performance Using Different Regression Algorithms von El Guabassi, Inssaf, Bousalem, Zakaria, Marah, Rim, Qazdar, Aimad

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Migration from Relational Databases to HBase: A Feasibility Assessment von Bousalem, Zakaria, Cherti, Ilias, Zhao, Gansen

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