Aimad Qazdar

According to our database, Aimad Qazdar authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A Recommendation System Based on Early Academic Performance Prediction and Student Classification: Utilizing Artificial Intelligence and Mobile-Based Application.

Zakaria Bousalem, Aimad Qazdar, Inssaf El Guabassi, Abdellatif Haj

Int. J. Interact. Mob. Technol., 2024

2023

Newly Proposed Student Performance Indicators Based on Learning Analytics for Continuous Monitoring in Learning Management Systems.

Aimad Qazdar, Oussama Hasidi, Sara Qassimi, El Hassan Abdelwahed

Int. J. Online Biomed. Eng., 2023

Cooperative Learning Groups: A New Approach Based on Students' Performance Prediction.

Zakaria Bousalem, Aimad Qazdar, Inssaf El Guabassi

Int. J. Online Biomed. Eng., 2023

Digital Twin Technology for Enhanced Health Monitoring, Maintenance, and Energy Efficiency of Electric Vehicles: E-mule Project.

Yassine El-Ouardi, Oussama Hasidi, Jakob Khamis, El Hassan Abdelwahed, Aimad Qazdar, Stephan Sauter, Jens Timmermann, Ahmed Bendaouia

Proceedings of the 6th International Conference on Networking, 2023

Data-Driven and Model-Driven Approaches in Predictive Modelling for Operational Efficiency: Mining Industry Use Case.

Oussama Hasidi, El Hassan Abdelwahed, My Abdellah El Alaoui-Chrifi, Aimad Qazdar, François Bourzeix, Intissar Benzakour, Ahmed Bendaouia, Charifa Dahhassi

Proceedings of the Model and Data Engineering - 12th International Conference, 2023

Generic and scalable multi-layered architecture for Digital Twin implementation in industrial processes: Mineral Processing case study.

Oussama Hasidi, El Hassan Abdelwahed, Aimad Qazdar, Moulay Abdellah El Alaoui-Chrifi, Intissar Benzakour, Rachida Chahid, Ahmed Bendaouia, François Bourzeix

Proceedings of the 2023 7th International Conference on Advances in Artificial Intelligence, 2023

2022

Digital Twins-Based Smart Monitoring and Optimisation of Mineral Processing Industry.

Oussama Hasidi, El Hassan Abdelwahed, Aimad Qazdar, Abdellah Boulaamail, Mohamed Krafi, Intissar Benzakour, François Bourzeix, Salah Baïna, Karim Baïna, Mohamed Cherkaoui, Ahmed Bendaouia

Proceedings of the Smart Applications and Data Analysis - 4th International Conference, 2022

2021

Towards a folksonomy graph-based context-aware recommender system of annotated books.

Sara Qassimi, El Hassan Abdelwahed, Meriem Hafidi, Aimad Qazdar

J. Big Data, 2021

A Recommender System for Predicting Students' Admission to a Graduate Program using Machine Learning Algorithms.

Inssaf El Guabassi, Zakaria Bousalem, Rim Marah, Aimad Qazdar

Int. J. Online Biomed. Eng., 2021

Comparative Analysis of Supervised Machine Learning Algorithms to Build a Predictive Model for Evaluating Students' Performance.

Inssaf El Guabassi, Zakaria Bousalem, Rim Marah, Aimad Qazdar

Int. J. Online Biomed. Eng., 2021

Semantic user profile enrichment in collective intelligence context: a Healthcare case study.

Meriem Hafidi, Sara Qassimi, El Hassan Abdelwahed, Aimad Qazdar

Proceedings of the 18th IEEE/ACS International Conference on Computer Systems and Applications, 2021

2019

A machine learning algorithm framework for predicting students performance: A case study of baccalaureate students in Morocco.

Aimad Qazdar, Brahim Er-Raha, Chihab Eddine Cherkaoui, Driss Mammass

Educ. Inf. Technol., 2019

2017

The Allocation of Submissions in Online Peer Assessment: What Can an Assessor Model Provide in This Context?

Mohamed-Amine Abrache, Aimad Qazdar, Abdelkrim Bendou, Chihab Cherkaoui

Proceedings of the Innovations in Smart Cities and Applications, 2017

2015

A model of adaptation in Online Learning Environments (LMSs and MOOCs).

Chihab Eddine Cherkaoui, Aimad Qazdar, Amal Battou, Ali El Mezouary, Aïcha Bakki, Driss Mammass, Brahim Er-Raha

Proceedings of the 10th International Conference on Intelligent Systems: Theories and Applications, 2015