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Author

Evangelos Markakis

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#edge computing Open access Oct 2026

Interoperable Edge-to-Cloud IIoT Architecture for Digital Twin Mining Ecosystems

The mining industry is increasingly adopting Industrial Internet of Things (IIoT), edge computing, artificial intelligence (AI), and digital twin technologies in order to improve operational efficiency, sustainability, safety, and industrial automation. However, the integration of heterogeneous industrial systems, dist...

Athina Bourdena, Maria Chatzimina, Emmanouil Eleftherios Rompogiannakis et al. · 0 citations
#reinforcement learning Open access Oct 2026

AURA: Autonomous Urban Reconnaissance Array for Post-Earthquake Emergency Communication Networks

This paper presents AURA (Autonomous Urban Reconnaissance Array), a ROS 2-based drone swarm system designed to restore emergency WiFi communication in post-earthquake disaster zones. The system deploys five coordinated UAVs that autonomously establish a selfhealing mesh network. The architecture integrates PX4SITL with...

Hussein Khadra, Constandinos X. Mavromoustakis, George N. Mastorakis et al. · 0 citations
#edge computing Open access Oct 2026

Interoperable Edge-to-Cloud IIoT Architecture for Digital Twin Mining Ecosystems

The mining industry is increasingly adopting Industrial Internet of Things (IIoT), edge computing, artificial intelligence (AI), and digital twin technologies in order to improve operational efficiency, sustainability, safety, and industrial automation. However, the integration of heterogeneous industrial systems, dist...

Athina Bourdena, Μαρία Χατζημηνά, Emmanouil Rompogiannakis et al. · 0 citations
#reinforcement learning Open access Oct 2026

Comparison and Contrast of two Machine Learning Assisted In-Device Scheduling Applications

Managing offloaded tasks efficiently is vital for keeping devices fast and responsive. The main hurdle is finding a way to schedule and run these incoming workloads without starving local applications of critical CPU, RAM, and energy. This study evaluates how Federated Learning (FL) and Reinforcement Learning (RL) can...

Mikhail Tishin, Constandinos X. Mavromoustakis, Evangelos Markakis et al. · 0 citations

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