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CHARAF Moulay el hassan

Email : my.charaf@uit.ac.ma

Établissement : Faculté des sciences

Laboratoire : Recherche en Informatique

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📚 Publications Scopus — Total : 67
Titre Année 🔗 Voir
An Intelligent Based Approach for Conformance Testing of IoT Implementations Within a Distributed Cloud Environment 2026 🔗 Voir
A Sequential GAN–CNN–FUZZY Framework for Robust Face Recognition and Attentiveness Analysis in E-Learning 2026 🔗 Voir
A Robust Stacking-Based Ensemble Model for Predicting Cardiovascular Diseases 2025 🔗 Voir
A Multi-Modal Approach for Cardiovascular Disease Prediction by Combining Both Images and Non-Image Data 2025 🔗 Voir
A collaborative approach for testing MapReduce access control issues using agent-based architecture 2025 🔗 Voir
A Federated Learning Framework for Testing in Distributed Cloud Environments 2025 🔗 Voir
Real-Time Cardiovascular Health Monitoring Through a Multimodal Data Integration Framework 2025 🔗 Voir
Towards an Optimized Adaptive Learning Model: A Comparative Study of ACO and PSO for Generating Optimal Learning Paths in MOOCs 2025 🔗 Voir
Deep Learning Optimizers for Histological Image Classification: A Comparative Study 2024 🔗 Voir
MOOC Drop-Out Prediction Based on Learners Sentiment Analysis 2024 🔗 Voir
Consensus approach based on negotiation and 2-opt optimization for MRTA problems in a decentralized setting 2024 🔗 Voir
A Comparative Analysis of Random Forest and Decision Tree Classifiers for Predicting Type 2 Diabetes using K-Fold Cross-Validation 2024 🔗 Voir
Advancing Models Portability of Students’ Failure Prediction Using Ontology Modeling Approach 2024 🔗 Voir
An adaptive distributed access control model for IoT and fog computing environments 2024 🔗 Voir
An EFSM-based model for testing security issues in the Hadoop ecosystem 2024 🔗 Voir
An Ontology-based Recommender System for Identifying Learners' Confusion in MOOCs 2023 🔗 Voir
Towards Secure Transactions with IoT: An Advanced Smart Payment Solution 2023 🔗 Voir
An Optimal Method for Testing Jobs' Execution in MapReduce Based Systems 2023 🔗 Voir
An Enhanced Approach Based on PCA and ACO Methods for Facial Features Optimization 2023 🔗 Voir
An Optimal Scheduling Process for Electric Vehicle Charging using a PSO based Approach 2023 🔗 Voir
Towards an Adaptive Learning Model using Optimal Learning Paths to Prevent MOOC Dropout 2023 🔗 Voir
A Decentralized Based Approach Using Hybrid Filtered Beam Search Algorithm for Monitoring Patrols 2023 🔗 Voir
A Reconfiguration Method for Muti-Robot Monitoring Patrols 2023 🔗 Voir
An OCPP-Based Approach for Electric Vehicle Charging Management 2022 🔗 Voir
An Innovative Approach to Prevent Learners’ Dropout from MOOCs using Optimal Personalized Learning Paths: An Online Learning Case Study 2022 🔗 Voir
An Adaptive Approach to Optimize Probabilistic Distributed Testing 2022 🔗 Voir
A TCPN-based model for testing distributed systems with timing constraints 2022 🔗 Voir
An Optimized Adaptive Learning Approach Based on Cuckoo Search Algorithm 2022 🔗 Voir
Customer Service Enhancement in Banking Field using IoT Technologies 2022 🔗 Voir
A fog-based approach for distributed cloud testing: a VR-assist rental testing case study 2022 🔗 Voir
An Optimal Approach for Testing Control in The Distributed Cloud 2022 🔗 Voir
An Artificial Neural Network-Based System to Predict Cardiovascular Disease 2022 🔗 Voir
A Sentiment Analysis Based Approach to Fight MOOCs’ Drop Out 2022 🔗 Voir
A Neural Network-Based System to Predict Early MOOC Dropout 2022 🔗 Voir
Towards Optimising Fog Caching Using Deep Reinforcement Learning 2022 🔗 Voir
A Methodology for Monitoring IOV Interoperability Testing 2022 🔗 Voir
Missing Data Analysis in the Healthcare Field: COVID-19 Case Study 2022 🔗 Voir
An AI Based Approach for Personalized Nutrition and Food Menu Planning 2022 🔗 Voir
A Synchronized Test Control Execution Model of Distributed Systems 2021 🔗 Voir
A temporal based approach for MapReduce distributed testing 2021 🔗 Voir
Towards sustainable e-learning systems using an adaptive learning approach 2021 🔗 Voir
MOOCs performance analysis based on quality and machine learning approaches 2020 🔗 Voir
An optimized method for adaptive learning based on PSO Algorithm 2020 🔗 Voir
Contact-tracing approaches to fight Covid-19 pandemic: Limits and ethical challenges 2020 🔗 Voir
Quality Approach to Analyze the Causes of Failures in MOOC 2020 🔗 Voir
Towards Overcoming Issues of Testing Probabilistic Distributed systems 2020 🔗 Voir
Testing Access Control List Policies in a Hadoop Environment 2020 🔗 Voir
An Adaptive Learning Approach for Better Retention of Learners in MOOCs 2020 🔗 Voir
A synchronized test control execution model of distributed systems 2020 🔗 Voir
Testing Distributed Cloud: A Case Study 2019 🔗 Voir
FSM modeling of testing security policies for mapreduce frameworks 2019 🔗 Voir
A temporal approach for testing distributed systems-a mapreduce case study 2019 🔗 Voir
Security testing approach for IaaS infrastructure 2019 🔗 Voir
Testing Rules for Mapreduce Fameworks 2018 🔗 Voir
Hybrid Feature Vector for the Recognition of Arabic Handwritten Characters Using Feed-Forward Neural Network 2018 🔗 Voir
An ontology-based approach for modeling the distributed test issues 2018 🔗 Voir
A secure testing based approach for mapreduce frameworks 2018 🔗 Voir
Preface 2018 🔗 Voir
A multi agents based approach for testing MapReduce systems 2018 🔗 Voir
A colored petri-net model for control execution of distributed systems 2017 🔗 Voir
Timed distributed testing rules for the distributed test architecture 2016 🔗 Voir
A temporal agent based approach for testing open distributed systems 2015 🔗 Voir
A JESS AGENT based architecture for testing distributed systems 2014 🔗 Voir
An expert system based architecture for testing distributed systems 2013 🔗 Voir
A based rules approach for distributed test 2013 🔗 Voir
A rule-based multi-agent system for testing distributed applications 2012 🔗 Voir
Test execution control with timing constraints for testing distributed systems 2012 🔗 Voir