Publications

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Ameni Kallel Chaari, Molka Rekik, Mahdi Khemakhem (2025). A deep reinforcement learning-based optimization approach for containerized microservice scheduling in Hybrid Fog/Cloud environments.

Khalil Chebil, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2024). A framework for integrating biomedical knowledge in Wikidata with open biological and biomedical ontologies and MeSH keywords.

Tarek Frikha (2024). Enhancing Blockchain Consensus With FPGA: Accelerating Implementation for Efficiency.

Ameni Kallel Chaari, Molka Rekik, Mahdi Khemakhem (2024). DRL4HFC: Deep Reinforcement Learning for Container-Based Scheduling in Hybrid Fog/Cloud System.

Walid Karamti, Adel Mahfoudhi (2023). Scheduling analysis and correction for dependent real-time tasks upon heterogeneous multiprocessor architectures.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2023). Preregistration: Comparing the use of Wikidata and Wikipedia by open-source software programmers on GitHub repositories.

Mohamed Ali Hadj Taieb, Khalil Chebil, Mohamed Ben Aouicha (2023). Automating the use of Shape Expressions for the validation of semantic knowledge in Wikidata.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2023). Ten years of Wikidata: A bibliometric study.

Boulbaba Ben Ammar, Mohamed Ben Aouicha (2023). Vehicle Insurance Fraud Detection Based on Hybrid Approach for Data Augmentation.

Mohamed Ben Aouicha, Mohamed Ali Hadj Taieb (2023). Editorial: Linked Open Bibliographic Data for Real-time Research Assessment.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2023). Global visibility of publications through Digital Object Identifiers.

Tarek Frikha (2023). Integrating blockchain and deep learning for intelligent greenhouse control and traceability.

Walid Karamti (2023). Intelligent agents Model with JADE for scheduling analysis and correction of Real-Time Systems.

Khalil Chebil, Skander Htiouech, Mahdi Khemakhem (2023). Toward Optimal Periodic Crowd Tracking via Unmanned Aerial Vehicle.

Walid Karamti (2023). Use of QUIC for AMQP in IoT networks.

Walid Karamti, Adel Mahfoudhi (2023). A clustering allocation and scheduling analysis approach for multiprocessor dependent real-time tasks.

Walid Karamti (2023). Monitor the Strength Status of Buildings Using Hybrid Machine Learning Technique.

Skander Htiouech, Khalil Chebil, Mahdi Khemakhem (2023). An Extended Model for the UAVs-Assisted Multiperiodic Crowd Tracking Problem.

Mahdi Khemakhem (2023). Optimal network-aware virtual data center embedding.

Molka Rekik (2022). Systematic review of co-design in digital health for COVID-19 research.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2022). Recommender System for Scholarly Articles to Monitor COVID-19 Trends in Social Media Based on Low-Cost Topic Modeling.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2022). Letter to the Editor: FHIR RDF - Why the world needs structured electronic health records.

Boulbaba Ben Ammar, Mohamed Ben Aouicha (2022). Comparative Data Oversampling Techniques with Deep Learning Algorithms for Credit Card Fraud Detection.

Walid Karamti (2022). Detecting Anomalies in Network Communities Based on Structural and Attribute Deviation.

Boulbaba Ben Ammar, Mohamed Ben Aouicha (2022). Fraud Detection Using Large-scale Imbalance Dataset.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2022). Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2022). Awakening sleeping beauties during the COVID-19 pandemic influences the citation impact of their references.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2022). MeSH2Matrix: Machine learning-driven biomedical relation classification based on the MeSH keywords of PubMed scholarly publications.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2022). Data Models for Annotating Biomedical Scholarly Publications: the Case of CORD-19.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2022). How Knowledge-Driven Class Generalization Affects Classical Machine Learning Algorithms for Mono-label Supervised Classification.

Walid Karamti (2022). IoT Based Smart Monitoring of Patients with Acute Heart Failure.

Boukthir Haddar (2022). The evolution of rectangular bin packing problem—A review of research topics, applications, and cited papers.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2022). Representing COVID-19 information in collaborative knowledge graphs: the case of Wikidata.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2022). Cross-network representation learning for anchor users on multiplex heterogeneous social network.

Boulbaba Ben Ammar (2021). Prediction of COVID-19 Active Cases Using Polynomial Regression and ARIMA Models..

Ameni Kallel Chaari, Molka Rekik, Mahdi Khemakhem (2021). Hybrid-based framework for COVID-19 prediction via federated machine learning models.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2021). Knowledge-Based Construction of Confusion Matrices for Multi-Label Classification Algorithms using Semantic Similarity Measures.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2021). Enhancing knowledge graph extraction and validation from scholarly publications using bibliographic metadata.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2021). Coupling Wikipedia Categories with Wikidata Statements for Better Semantics.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2021). Developing intuitive and explainable algorithms through inspiration from human physiology and computational biology.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2021). Infectious epidemics and the research output of nations: A data-driven analysis.

Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha (2020). Enhancing filter-based parenthetic abbreviation extraction methods.

Ameni Kallel Chaari, Molka Rekik, Mahdi Khemakhem (2020). IoT‐fog‐cloud based architecture for smart systems: Prototypes of autism and COVID‐19 monitoring systems.