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Search Results - aimed algorithms
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Enhanced Interest Aware PeopleRank for Opportunistic Mobile Social Networks
Published 2021“…We build upon an interest-aware social forwarding algorithm, namely Interest Aware PeopleRank (IPeR). …”
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Mixed-Criticality Scheduling Using Reinforcement Learning
Published 2023“…With plenty of researchers approaching the schedulability of such systems with various objectives, our aim in this study is to shed light on the promising nature of emergent machine learning technologies, specifically Reinforcement Learning. …”
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Leveraging big data resources and data integration in biology: applying computational systems analyses and machine learning to gain insights into the biology of cancers
Published 2021“…Then we confirm the biological relevance of the identified biomarkers by showing that these can be used together with pattern-recognition algorithms to infer the drug sensitivity of pancreatic cancer cell lines accurately. …”
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Fusion of sensor information to measure the total energy of an aircraft and provide information about flight performance and local microclimate
Published 2023“…The aim of this project was to develop a low cost system to be carried on a glider to detect thermals effectively. …”
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A multilevel inverter for DC reticulation
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Development of CubeStar : a CubeSat-compatible star tracker
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Resource-constrained scheduling in the engineering-planning phase of Civil Engineering Projects
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Design and Development of an Autoinjector Tracking Device to Integrate with Emergency Service
Published 2025“…A pilot case-based study aimed at validating the accuracy of the notification alert algorithm in threedimensional directions was conducted at the Impulse Biomedical offices in the Western Cape. …”
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Fault pattern recognition in simulated furnace data
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Multi-objective optimisation using the cross-entropy method in CO gas management at a South African ilmenite smelter
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3D approximation of scapula bone shape from 2D X-ray images using landmark-constrained statistical shape model fitting
Published 2017“…The Euclidean distances confirm that a posterior model moves closer to the CT image, hence it reduces the search space for a more exact patient-specific 3D reconstruction by other fitting algorithms.…”
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Investigation of polymer grade blending in Ziegler-Natta Catalysed ethylene polymerisation systems
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How Much Will They Buy? Optimal Forecast Selection for Predicting a Bakery’s Demand
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Spatiotemporal Performance Analysis to Identify Degradation Trends in a Utility-Scale PV Plant
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Integration of kinetic models with data from 13C-metabolic flux experiments
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The design and evaluation of a Java image analysis tool for componentizing lines from digitial architectural floor plans
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Application of machine learning with electroencephalography in seizure detection.
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Minimising the total travel distance to pick orders on a unidirectional picking line
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Sea state estimation from inertial platform data for real-time ocean wave prediction
Published 2019“…Hence the problem this dissertation aims to solve is the estimation and subsequent prediction of local wave behaviour. …”
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