Material, acoustic, and mechanical properties of mosquito and midge antennae
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Power Electronics, Machines and Applications EE966 exam papers
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5G Communication Networks EE991 exam papers
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Deep spiking neural networks with applications to human gesture recognition
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Topics in high dimensional energy forecasting
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Towards a quieter world : three-dimensional printed acoustic metamaterials for noise control
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Sensor-enabled robotics for ultrasonic NDE
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Design and implementation of components for renewably-powered base-stations with heterogeneous access channel
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Mitigating the erosion of transient stability margins in Great Britain through novel wind farm control techniques
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MEMS enabled miniaturisation of photoacoustic imaging and sensing systems
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Development of a 1D phased ultrasonic array for intravascular sonoporation
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Elasticity mapping for breast cancer diagnosis using tactile imaging and auxiliary sensor fusion
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Research mini-projects : 1. Machine learning dimensionality reduction for gearbox bearing failure prediction. 2. Hybrid sychronous compensator arrangement in providing ancillary services along with a windfarm
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Interconnection of solar home systems as a path to bottom-up electrification
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Fully high temperature superconducting (HTS) machine for future electric aircraft
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Applications of machine learning in diagnostics and prognostics of wind turbine high speed generator failure
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Hybrid AC/DC hubs for network connection and integration of renewables
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High-efficiency voltage source converters with silicon super-junction MOSFETs
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Cyclic blackout mitigation and prevention
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Dual operative radar for vehicle to vehicle and vehicle to infrastructure communication
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Nonlinear predictive restricted structure control
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Mobility of charge carriers, particle charging and electro-hydrodynamic processes in dielectric liquids and nanofluids
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Protection and fault location schemes suited to large-scale multi-vendor high voltage direct current grids
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Susceptibility of Clostridium difficile to 405 nm light and possible mechanisms to enhance sporicidal activity
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Modelling and analysis of rotary airborne wind energy systems : a tensile rotary power transmission design
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Low-rate non-intrusive load monitoring approaches via graph signal processing
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D-PorCCA, a new tool to study the acoustic life of harbour porpoises
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Protection strategy in active DC power distribution networks
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Towards development of flexible sensor systems based on organic thin-film transistors
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The use of direct current distribution systems in delivering scalable charging infrastructure for battery electric vehicles
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Review of applications of superconducting magnetic energy storage (SMES) to power systems
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Maximum power point tracking and control of grid interfacing PV systems
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Restricted structure non-linear generalized minimum variance control
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Aspects of laser absorption spectroscopy in the mid-infrared and visible
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Accommodating maintenance in prognostics
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Remote sensing and machine learning for prediction of wheat growth in precision agriculture applications
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Toward cascading failure mitigation in high voltage power system capacitors
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3D tumour-stroma microfluidic cultures for the assessment of anti-cancer therapies
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DSO-TSO coordination and distribution network congestion management
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Effective EEG analysis for advanced AI-driven motor imagery BCI systems
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Using hypergraph theory to model coexistence management and coordinated spectrum allocation for heterogeneous wireless networks operating in shared spectrum
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Adaptive spatial image steganography and steganalysis using perceptual modelling and machine learning
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Predictive analytics for wind power forecasting
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Methodologies for earth observation with hyperspectral analysis and multimodal image fusion
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A spatially explicit agent-based modelling approach for assessing residential heating technology uptake
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An active unit protection scheme for islanded microgrids with inverter-interfaced distributed generation
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The partial frequency energy converter: a novel device for low-frequency offshore wind electricity transmission
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Indoor navigation efficiency improvement in intelligent assistive systems (IAS) using neural networks
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Using multi-criteria decision analysis to assess the health of high volume, low cost power network assets
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Improving positioning capabilities for automated pipe inspection