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Feature detection in ultrasound images for computer aided diagnosis of Hodgkin's Lymphoma
Published 2022“…Thereafter, an automated algorithm was used to characterise and classify Hodgkin's lymphoma. …”
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A model-based deep learning approach to spectrum management in distributed cognitive radio networks
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Link prediction in knowledge graphs using latent feature modelling and neural tensor factorisation
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Mapping real-world objects into virtual reality to facilitate interaction using 6dof pose estimation
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The use of a neural network to recognize placental insufficiency from blood flow velocity waveforms in the umbilical cord
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Selection Hyper-heuristics for Population-based Meta-heuristics in Continuous Dynamic Environments
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Partial end-to-end reinforcement learning for robustness towards model-mismatch in autonomous racing’
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Adaptive control of alumina concentration in the hall-heroult cell using neural network
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Assessing classification performance for sampled remote sensing data
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Designing multimodal public transport networks using metaheuristics
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Synoptic weather systems over Antarctic sea ice: understanding the link between extratropical cyclones and extreme variability in Antarctic sea-ice concentration
Published 2026“…Atmospheric reanalysis and a cyclone-tracking algorithm were used to characterize sea-ice variability and cyclone activity in different Southern Ocean sectors: the King Haakon VII, East Antarctic, Ross/Amundsen, Bellingshausen, and Weddell sectors. …”
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Digital Image Correlation : applications in Vehicle Dynamics
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Modelling and control of doubly-fed induction generator systems in wind turbine applications
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Evaluation and optimisation of photovoltaic (PV) plant designs
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Space debris: pose estimation using stereo vision
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Automated design of multi-mode fuzzy controllers
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Nonlinear adaptation of established linear and predictive control laws through safe reinforcement learning
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Using machine learning techniques in developing an autonomous network orchestration scheme in 5g networks
Published 2021“…After that, application-based features were extracted by using heuristic logical filters to prepare a feature vector for the Machine Learning (ML) algorithm. A trained Multi-layer Perceptron (MLP) based Artificial Neural Network (ANN) was selected as the classifier after comparing results with Support Vector Machine (SVM), Recurrent Neural Network (RNN) and Convolutional Neural Network (CNN). …”
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