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Person of interest rapid identification and tracking (POIRIT) assistance system
Published 2024“…Additionally, the research considers environmental factors like fog and smog, incorporating the Retinex Algorithm with Wavelet transform for effective fog removal. …”
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Automated Machine Learning for Predicting Trends in Time Series Data
Published 2022“…Recently, a hybrid Deep Neural Network (DNN) algorithm, TreNet was proposed for predicting trends in time series data. …”
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Detecting informal settlements from high resolution imagery using an object-based image approach
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2D irregular strip packing at Kohler signs
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Mitigation of control errors in quantum annealing
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Phytoplankton community structure determined through remote sensing and in situ optical measurements
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Robust control of a triple-effect evaporator
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Optimising the Optimiser: Meta NeuroEvolution for Artificial Intelligence Problems
Published 2022“…Since reinforcement learning algorithms have to fully solve a task in order to evaluate a set of hyperparameter values, conventional hyperparameter tuning methods can be highly sample inefficient and computationally expensive. …”
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Simulation-based optimisation of public transport networks
Published 2020“…A multi-objective optimisation algorithm known as the Non-dominated Sorting Genetic Algorithm (NSGA-II) is integrated with Activity-based Travel Demand Model (ABTDM) known as the Multi-Agent Transport Simulation (MATSim). …”
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Reducing the Burden of Aerial Image Labelling Through Human-in-the-Loop Machine Learning Methods
Published 2021“…We first develop an interactive segmentation algorithm. Interactive segmentation aims to segment objects with a supervisory signal from a user to assist the model. …”
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Operational cost and emissions minimisation of a multi-microgrid system through energy management
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Optimising the passage through charted minefields by path planning and mine removal
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Access network selection schemes for multiple calls in next generation wireless networks
Published 2017“…The RAT selection method was modeled with constraints on terminal battery power, service cost and network congestion to select a specified number of RATs that optimizes the terminal interface utility. The results obtained show an optimum RAT selection strategy that maximizes the terminal utility and selects the best RAT combinations for user's parallel-streaming for voice, video and file-download.…”
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An investigation into the performance capabilities of multi-h CPFSK digital modulation
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Cubature methods and applications to option pricing
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Learning decentralized policies with incremental reinforcement learning, reward shaping and self-play learning.
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Rethinking electrical water heaters
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Architecture of a cognitive non-line-of-sight backhaul for 5G outdoor urban small cells
Published 2018“…Third, an algorithm to determine the optimal number of diffraction points that can cover an identified SCBS location is also developed. …”
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Metaheuristics for the selection and scheduling of jobs with time-dependent durations
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