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Investigating variables affecting heap (bio)leaching through determining access to sub-surface mineral grains by micro-scale X-ray tomography
Published 2020“…The Interactive Thresholding function in Avizo® 9 software was used for segmentation of ore particles from air and sulphide minerals from air and gangue minerals, to measure the target minerals' volume reduction during leaching. The Distance Map Algorithm was applied on a binary (segmented) image to calculate the distance of the sulphide mineral from the ore particle surface. …”
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Convolutional and fully convolutional neural networks for the detection of landmarks in tsetse fly wing images
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Load management of electric water heaters in a smart grid through forecasting and intelligent centralised control
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Using particle swarm optimization to evolve two-player game agents
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A software-defined radio implementation of maritime AIS
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Design and Implementation of an RFI Direction Finding System for SKA Applications
Published 2021“…The primary focus of the thesis is implementing the algorithms to direction find those signals, and to evaluate whether the algorithms perform as expected on real RFI sources in the field. …”
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Hardware-in-loop CubeStar emulator
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Predicting mergers and acquisitions using machine learning
Published 2024“…A secondary objective is the development of a robust ensemble model for potential use in an investment portfolio. The algorithms were trained on a comprehensive historical dataset with diverse financial indicators. …”
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Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification
Published 2021“…Implementing data mining algorithms in manipulation detection is a relatively recent technique but in the past few years there has been an increasing interest in it's applications in this domain. …”
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Nudging Users Towards Data Privacy
Published 2022“…Technology companies collect massive amounts of data from online users. They use algorithms that can track and analyze each activity by each user. …”
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State estimation of a cheetah spine and tail using an inertial sensor network
Published 2016“…A wireless sensor network was built and three different filters and state estimation algorithms were designed and validated with a mechanical rig and camera system. …”
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Automated analysis of digital medical images in cervical cancer screening: A systematic review
Published 2024“…Results This systematic review found 16 studies which reported application of algorithms paired with novel image acquisition devices, and 52 studies reporting on standalone image analysis algorithms. …”
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The discontent of social scoring through state surveillance using the Chinese social credit system as a case study
Published 2026“…Concerns about individual privacy and the abuse of power are valid; however, the unfair treatment of minorities and the oppression of political opponents are additional concerns under algorithmic rule. Current regulation is insufficient to protect citizens' privacy as surveillance scoring programs become more far-reaching and invasive over time.…”
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Prospecting for enigmatic radio sources with autoencoders : a novel approach
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Analysis of a deep neural network for missing transverse momentum reconstruction in ATLAS
Published 2020“…In this work, a deep neural network was trained using supervised learning to measure this imbalance. …”
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Modelling, estimation and control of a twin-helicopter slung load transportation system
Published 2019“…A high-fidelity mathematical model of a small-scale helicopter was developed. Estimation algorithms were then developed to optimally fuse the data from the instrumentation designed. …”
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Exploring the application of Natural Language Processing to scientific medical cannabis publications
Published 2023“…Analyzing the large quantities of available text data using natural language processing and machine learning algorithms could improve the speed and accuracy at which cannabis research is processed, as well as expose hitherto unknown connections between cannabis compounds and the treatment of healtth conditions. …”
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Rail surface anomaly detection : a deep learning . approach for computer vision
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