Reputation-Aware Multi-Agent DRL for Secure Hierarchical Federated Learning in IoT by Noora Mohammed Al-Maslamani (17541798)

“…Each FL edge server is equipped with a Deep Reinforcement Learning (DRL)-based reputation model to optimally measure the reliability and trustworthiness of FL workers within its cluster. …”

Hierarchical Fuzzy Framework for EV Supported Islanded Microgrid Frequency Stabilization by Abdul Latif (8829644)

“…Validation of the effectiveness and practicality of the proposed control framework is undertaken utilizing the real-time OPAL-RT 5700 testbed platform.…”

A review on recent developments in control and optimization of micro grids by Saima Ishaq (21347633)

“…<p dir="ltr">Modern utility grid is experiencing a transition from conservative centralized generation structure to a more distributed and decentralized structure. …”

Hierarchical Model-Predictive Droop Control for Voltage and Frequency Restoration in AC Microgrids by Iresha Poonahela (16876005)

“…<h3>Abstract</h3><p dir="ltr">The hierarchical control structure was introduced to allow the integration of power-electronics-based distributed generation into the microgrid in a smart and flexible manner. …”

Learning-Based Automatic Modulation Classification by Abdelmutalab, Ameen Elsiddig

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A Survey of Data Clustering Techniques by Sobeh, Salma

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An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network by Sorkhoh, Ibrahim

“…This article revolves around a scenario where a roadside unit located at the edge of a hierarchical multitier edge computing subnetwork resorts to the utilization of idle vehicles computational resources through a fog-enabled substructure yielding a cost-effective computational task offloading solution. …”
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User-centric strategies for resource management in heterogeneous wireless networks with QoS considerations by Abbas, Nadine Fawaz

“…Due to the complexity of the problem, we design sub-optimal hierarchical tree-based algorithms for real-time operation taking into account realistic constraints. …”
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Blend Scheduling Solutions in Petroleum Refineries towards Automated Decision-Making in Industrial-like Blend-Shops by Mahmoud Ahmednooh (19237120)

“…In the latter, ordinary least squares regression (OLSR) using supervised machine learning can be utilized to pre-model blending of streams as linear and nonlinear constraints used in hierarchically decomposed blend scheduling solutions. …”

Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security by Muhammad Khubaib (22927822)

“…Unlike conventional CNN-based methods, which often face limitations in feature extraction, the Swin Transformer utilizes hierarchical attention mechanisms to improve disease detection accuracy. …”