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Reducing the Burden of Aerial Image Labelling Through Human-in-the-Loop Machine Learning Methods
Published 2021“…This dissertation presents an introduction to human-in-the-loop deep learning methods for remote sensing applications. It is motivated by the need to decrease the time spent by volunteers on semantic segmentation of remote sensing imagery. …”
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Development of a generalised kinetic model for the combustion of hydrocarbon fuels
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The development of satellite derived nitrate and stratification indices for the southern Benguela ecosystem
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Enhanced point pattern analysis on nonconvex spatial domains
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Approaches to accommodate remeshing in shape optimization
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Low cost condition monitoring under time-varying operating conditions
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An investigation into the consistency and usability of selected minisatellite detecting software packages
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Process-based decomposition and multicore performance : case studies from Stringology
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Pricing Options under Levy models using Spectral methods
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Classification of ocean vessels from low resolution satellite SAR images
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Operational cost and emissions minimisation of a multi-microgrid system through energy management
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Cooperative Collision Avoidance for the Voyager Unmanned Ground Vehicle: Practical Implementation and Demonstration
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Relative Position Control for Satellite Formation Flying
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A three-phase AC/AC matrix converter system
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An LTL verification system based on automata theory
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Integrated species distribution modelling system : a user friendly front end to the GARP modelling toolkit
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The computation of electromagnetic fields at non-asymptotic distances from an antenna using cylindrical near-field measurements
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Resource-constrained scheduling in the engineering-planning phase of Civil Engineering Projects
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