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About the ProjectProject details: Next-generation networks are rapidly outscaling the capabilities of traditional management paradigms. While early AI/ML models offered a degree of automation, they are fundamentally limited by a "one model for one task" design philosophy. This approach incurs...
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About the Project Project details The forestry industry in New Zealand, with NZ$5.89 billion in annual export revenue, is under pressure due to cyclones and tropical storms. Sales are arranged ahead of harvest using estimates of wood production constrained by UAV and Airborne laser scanning...
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Project details: Global Navigation Satellite Systems (GNSS) support a wide range of applications, from smartphone navigation to autonomous vehicles. The global GNSS market is substantial, with billions of consumer devices relying on accurate positioning daily. Improving GNSS accuracy, especially...
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Project details: Background: Diabetic Retinopathy (DR) is the leading cause of blindness in working aged people. All people with diabetes aged over 12 need annual retina screening by attending ophthalmology clinic. This produces over a billion retina images every year. However, about 50% of...
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
About the Project Project details: Aerial platforms such as Unmanned Aerial Vehicles (UAVs), High-Altitude Platforms (HAPs), and Low Earth Orbit (LEO) satellites will play a vital role in the next generation of wireless communication (6G) to extend network coverage, supporting diverse...
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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
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behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental
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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
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Project details Objective: This project aims to develop a wireless, nanoengineered graphene-based biosensor for real-time dopamine (DA) detection. The wireless design of the sensor aims to enable chronic monitoring and facilitate seamless integration into dynamic neuromodulation systems for...
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About the Project Project details: The Southwest of the UK, particularly Cornwall, possesses some of the nation's strongest renewable energy resources, yet continues to face significant challenges in decarbonising heat especially in rural, off-gas communities reliant on oil, LPG, and inefficient...