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Sixth-generation (6G) mobile networks are expected to be AI-native by design, with intelligence embedded directly into the Radio Access Network (RAN) control loop through architectures such as O-RAN, near-real-time RAN I...

In marine science and engineering, growing volumes of imaging data are used in exploration and monitoring. The process of manual annotation of this data (i.e. marking and describing objects of interest with labels), to e...

Currently, numerous vocational colleges have incorporated practical training courses focused on automated production lines. However, due to spatial constraints and insufficient availability of physical equipment, the imp...

Manual cocoa bean inspection is subjective and prone to error, significantly impacting chocolate production. This study presents an automated, high-throughput cocoa bean grading system leveraging YOLOv10, YOLOv11, and Vi...

Integration of Photovoltaic (PV) generation into oil and gas power networks has transformed fault behaviour by creating highly complex sensitivity challenges for conventional Overcurrent Relay (OCR) coordination and trip...

Digital Twin Networks (DTNs) are emerging as a key enabler for the robust optimization and lifecycle management of next-generation networks. However, current DTN approaches still rely heavily on manual design, implementa...

This work presents the workflow and supporting tools used to realize a 500 kW, ±10 kVdc MMC-based laboratory supply. Control Real-Time Hardware-in-the-Loop (RT-CHIL) simulations have played a key role in its devel...

Power electronic systems in autonomous vehicles and mission-critical applications are highly susceptible to overheating due to operational inefficiencies. These systems often rely on liquid cooling loops to maintain safe...

This paper presents a cross-coupled, closed-loop digital phase control strategy for two-phase interleaved boost power factor correction (PFC) converters operating in boundary conduction mode (BCM) and discontinuous condu...

In recent years, Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) have gained significant momentum in the automation of software development. Although, previous research studies have also explo...