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Evaluating the impact of innovative cyber technologies on the delivery process of South African sustainable affordable housing
Published 2025“…The study explored the use of various innovative technologies such as Unmanned Aerial Vehicles (UAVs), Building Information Modelling (BIM), Geographic Information Systems (GIS), 3D Printing, Virtual Reality (VR), Augmented Reality (AR), Artificial Intelligence (AI), Smart Sensors, Modular and Prefabrication, Object-Oriented Programming (OOP), and Project Portfolio Management (PPM) as potential solutions. …”
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CIVIL SOCIETY ORGANISATIONS AND THE CONSOLIDATION OF PEACE IN THE REPUBLIC OF GUINEA
Published 2017-02ThesisFull Text AvailableAccess Repository -
Nudge for good : bridging choice architecture and co-creation for inclusive design
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Fast converging robust beamforming for downlink massive MIMO systems in heterogenous networks
Published 2018Get full text
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Phytophthora diversity in the Cape Floristic Region
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Discovering intent : the celebration of historical intent through the re-ordening of the landscape
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Taxpayers' perceptions towards SARS : 2009-2017 ERA
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The Body Speaks: Reading Literary Stagings of Embodied Expressions of Trauma and Its Violent Return
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Emosionele ondersteuning van moeders met kinders met kogleere implantings
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Feasibility study for wind power at SAB Newlands
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System level simulation of digital designs : a case study
Published 2020“…Secondary goals were to document the design methodology as well as state-of-the-art of the tools required for FPGA design and simulation. …”
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Cooperative target following and collision avoidance for multiple unmanned aerial vehicles
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Poging om die Aegilops sharonensis-verhaalde Lr56/Yr38 koringtranslokasie te verkort
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The Conradie Codec : the recoding of meaning in four of my stage adaptations
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Ontwikkeling van instrumentasie vir omvattende tweedimensionele gaschromatografie
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Machine Learning Based Critical Resource Allocation in Mixed-Traffic Cellular Networks
Published 2021“…We introduce a novel mixed scheduler that combines the advantages of two well-known schedulers in the literature. We then introduce novel machine-learning based scheduling algorithms and evaluate them in comparison to some well-known algorithms in the literature in addition to the optimal bound that we also derive in this study. …”
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