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Unsupervised anomaly detection for the ATLAS Level-1 Trigger
Published 2026“…These methods rely on the availability of clean training data to teach the model what “normal” samples are. …”
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Flight control system for an autonomous parafoil
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Mechanical interlocking of 3D printed concrete layers
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A machine learning framework for security forecasting and trading
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Strengthening child and adolescent mental health systems in South Africa: A multi-stakeholder implementation science initiative
Published 2026“…Methods: A targeted literature review identified CAMHSS strengthening innovations in LMICs from the preceding 18 months. …”
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Developing an implementation plan for research data management (RDM) at the University of Ghana
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Synthesis and applications of aminated biopolymers
Published 2025“…A simple, green and sustainable synthetic method was sought as an improvement to prior methods using hazardous reagents and producing immense amounts of waste. …”
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Multi-h synchronisation for codes with long constraints-length
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DFT insight into the oxygen reduction reaction (ORR) on the Pt₃Co(111) surface
Published 2016“…The calculations have been performed using the plane wave based code, the Vienna ab-initio Simulation Package (VASP). DFT spin-polarized calculations, utilizing the GGA-PW91 functional, have been used to study the adsorption of the ORR intermediates, viz. …”
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Navigating the Rules: Integrating TD3 and Sensor Fusion for Traffic-Aware Autonomous Vehicle Path Planning
Published 2024“…This combined approach aims to overcome limitations associated with individual techniques, such as long training time for DRL and lack of generalizability of supervised learning methods. Results from the CARLA simulations demonstrated the effectiveness of the proposed method and sensor fusion in obstacle detection and navigation precision. …”
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The experiences of emergency medical care practitioners (EMCP) after exposure to fatal motor vehicle accident scenes
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Water use of deciduous and evergreen tree nut crops : a case study using pecans and macadamias
Published 2018“…Adequate water supply is crucial for optimal fruit production, with the consequence that the vast majority of orchards are dependent on irrigation, particularly in arid and semi-arid climates where rainfall is low and erratic. …”
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Essays on determinants spillovers and predictability of the South African stock returns
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Automated machine learning driven quality of service management in resource-constrained software defined networks
Published 2024“…The deep learning models utilised by the framework are trained on data gathered from a community network and extensively tested in online network simulations. …”
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Machine Learning for Radio Frequency Interference Flagging
Published 2021“…This work explores the application of supervised machine learning algorithms for RFI flagging, trained on real measurement data and simulated data with simulated RFI. The goal of this work is to investigate the prediction of RFI using specific machine learning algorithms; Naive Bayes Classifier, K-Nearest Neighbours Classifier, Random Forest Classifier, the U-Net convolution neural network and the Multilayer Perceptron. …”
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Leveraging genotypes imputation and polygenic risk scores in malaria susceptibility
Published 2020“…Methodology We evaluated the performance of five popular genotypes imputation methods (IMPUTE4, minimac 4, IMPUTE2, minimac3 and BEAGLE4) using case control datasets that mimics African populations, European populations and the admixed populations simulated with FractalSIM. …”
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Valuing risky income streams in incomplete markets
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Development and control of a 3-axis stabilised platform
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Modification, elaboration and empirical evaluation of the Burger learning potential structural model
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