Mounira Tlili
Orcid: 0000-0001-7935-2866
According to our database1,
Mounira Tlili authored at least 15 papers
between 2008 and 2025.
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Bibliography
2025
A modified particle swarm optimization algorithm in a rolling horizon framework for the aggregate production planning problem: pharmaceutical industry case.
Ann. Oper. Res., December, 2025
A hybrid Genetic Algorithm and Simulated Annealing approach for multi-level 3D bin packing problem.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025
Short-term Forecasting of Ventilator and Oxygenation Device Demand During the COVID-19 Pandemic: A Comparison of Deep Learning and Statistical Models.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025
Deep Learning for Multivariate ICU Beds Forecasting During Global Healthcare Crisis: COVID-19 Case Study.
Proceedings of the 11th International Conference on Control, 2025
2024
Integrated approach of aggregate production planning and disaggregate production planning in pharmaceutical industry.
Proceedings of the 10th International Conference on Control, 2024
2023
Proceedings of the International Conference on Innovations in Intelligent Systems and Applications, 2023
Hierarchical production planning frameworks for multi product multi stage batch plants.
Proceedings of the International Conference on Innovations in Intelligent Systems and Applications, 2023
A management analysis tool to support healthcare resource planning in public hospitals during the covid-19 pandemic: A case study.
Proceedings of the International Conference on Innovations in Intelligent Systems and Applications, 2023
2022
2021
An Exact Algorithm for A Multi-Period Inventory Routing Problem with Lateral Transshipment.
Proceedings of the 18th IEEE/ACS International Conference on Computer Systems and Applications, 2021
2019
Edge Computing for Smart Health: Context-Aware Approaches, Opportunities, and Challenges.
IEEE Netw., 2019
2018
A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems.
IEEE Access, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017
2008
Application of a Cutting/Packing Method for Solving a Job Scheduling Problem in a Line of Machines.
J. Decis. Syst., 2008