Browsing by Subject "DEEP REINFORCEMENT LEARNING"
Now showing items 1-2 of 2
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Master Thesis Open Access
DepGraphRL: A Deep Reinforcement Learning-Driven, Energy-Aware, Dependency Graph-Based Pruning Framework for Edge-IoT Devices
(Πανεπιστήμιο Κύπρου, Πολυτεχνική Σχολή / University of Cyprus, Faculty of Engineering, 2024-01-08)Recent technological advancements have revolutionized the role of the Internet of Things (IoT) in various commercial and industrial sectors, including applications in smart city, agriculture, healthcare, e-commerce, and ...
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Doctoral Thesis
A Framework for Blockchain-Based Data-Driven Fault Tolerant Control in Industrial Internet of Things Enabled Smart Factories
(Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2024)This thesis presents two novel frameworks, the Blockchain-Based Data-Driven Fault-Tolerant Control (BB-DD-FTC) and Blockchain-Driven Deep Reinforcement Learning (BlockDRL), designed to enhance cybersecurity and optimize ...