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Author

Elinda Kajo Meçe

2 papers indexed here

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#reinforcement learning Open access Sep 2026

Predicting the Power Impact of Scheduling Decisions in Kubernetes Using Fine-Grained Monitoring and XGBoost

The rapid growth of cloud data centres has increased their energy consumption and environmental footprint, highlighting the need for more energy-efficient resource management. Kubernetes has become a widely adopted container orchestration platform for automating the deployment, scaling, and management of containerized...

Megi Tartari, Genti Daci, Elinda Kajo Meçe · 0 citations
#explainable ai Review Open access Sep 2026

Artificial Intelligence for Intracranial Aneurysm Detection, Rupture-Risk Prediction, and Prognosis Evaluation: Recent Advances and Clinical Integration

AI is showing strong potential in supporting the management of intracranial aneurysms, however, further research is needed, particularly through multicenter and external validation, improved model explainability and robustness, and better integration of these systems into clinical workflows.

Olti Qirici, E. Enesi, Kleona Binjaku et al. · 0 citations

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