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2020 – today
- 2024
[j7]Zakaria Bousalem
, Aimad Qazdar, Inssaf El Guabassi, Abdellatif Haj:
A Recommendation System Based on Early Academic Performance Prediction and Student Classification: Utilizing Artificial Intelligence and Mobile-Based Application. Int. J. Interact. Mob. Technol. 18(15): 169-189 (2024)- 2023
- [j6]Aimad Qazdar, Oussama Hasidi, Sara Qassimi, El Hassan Abdelwahed:
Newly Proposed Student Performance Indicators Based on Learning Analytics for Continuous Monitoring in Learning Management Systems. Int. J. Online Biomed. Eng. 19(11) (2023) - [j5]Zakaria Bousalem, Aimad Qazdar, Inssaf El Guabassi:
Cooperative Learning Groups: A New Approach Based on Students' Performance Prediction. Int. J. Online Biomed. Eng. 19(12): 34-48 (2023) - [c7]Oussama Hasidi, El Hassan Abdelwahed, Aimad Qazdar, Moulay Abdellah El Alaoui-Chrifi, Intissar Benzakour, Rachida Chahid, Ahmed Bendaouia, François Bourzeix:
Generic and scalable multi-layered architecture for Digital Twin implementation in industrial processes: Mineral Processing case study. ICAAI 2023: 54-61 - [c6]Oussama Hasidi, El Hassan Abdelwahed, My Abdellah El Alaoui-Chrifi, Aimad Qazdar, François Bourzeix, Intissar Benzakour, Ahmed Bendaouia, Charifa Dahhassi:
Data-Driven and Model-Driven Approaches in Predictive Modelling for Operational Efficiency: Mining Industry Use Case. MEDI 2023: 116-127 - [c5]Yassine El-Ouardi, Oussama Hasidi, Jakob Khamis, El Hassan Abdelwahed, Aimad Qazdar, Stephan Sauter, Jens Timmermann, Ahmed Bendaouia:
Digital Twin Technology for Enhanced Health Monitoring, Maintenance, and Energy Efficiency of Electric Vehicles: E-mule Project. NISS 2023: 64:1-64:7 - 2022
- [c4]Oussama Hasidi, El Hassan Abdelwahed, Aimad Qazdar, Abdellah Boulaamail, Mohamed Krafi, Intissar Benzakour, François Bourzeix, Salah Baïna, Karim Baïna, Mohamed Cherkaoui, Ahmed Bendaouia:
Digital Twins-Based Smart Monitoring and Optimisation of Mineral Processing Industry. SADASC 2022: 411-424 - 2021
- [j4]Inssaf El Guabassi, Zakaria Bousalem, Rim Marah, Aimad Qazdar:
Comparative Analysis of Supervised Machine Learning Algorithms to Build a Predictive Model for Evaluating Students' Performance. Int. J. Online Biomed. Eng. 17(2): 90-105 (2021) - [j3]Inssaf El Guabassi, Zakaria Bousalem, Rim Marah, Aimad Qazdar:
A Recommender System for Predicting Students' Admission to a Graduate Program using Machine Learning Algorithms. Int. J. Online Biomed. Eng. 17(2): 135-147 (2021) - [j2]Sara Qassimi, El Hassan Abdelwahed, Meriem Hafidi, Aimad Qazdar:
Towards a folksonomy graph-based context-aware recommender system of annotated books. J. Big Data 8(1): 67 (2021) - [c3]Meriem Hafidi, Sara Qassimi, El Hassan Abdelwahed, Aimad Qazdar:
Semantic user profile enrichment in collective intelligence context: a Healthcare case study. AICCSA 2021: 1-7
2010 – 2019
- 2019
- [j1]Aimad Qazdar, Brahim Er-Raha, Chihab Eddine Cherkaoui, Driss Mammass:
A machine learning algorithm framework for predicting students performance: A case study of baccalaureate students in Morocco. Educ. Inf. Technol. 24(6): 3577-3589 (2019) - 2017
- [c2]Mohamed-Amine Abrache, Aimad Qazdar, Abdelkrim Bendou, Chihab Cherkaoui:
The Allocation of Submissions in Online Peer Assessment: What Can an Assessor Model Provide in This Context? SCA 2017: 276-287 - 2015
- [c1]Chihab Eddine Cherkaoui, Aimad Qazdar, Amal Battou, Ali El Mezouary, Aïcha Bakki, Driss Mammass, Brahim Er-Raha:
A model of adaptation in Online Learning Environments (LMSs and MOOCs). SITA 2015: 1-6
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