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Organisational practices and individual innovation behaviour: a non-linear approach to modelling the emergence of corporate entrepreneurship
Published 2019“…Method of analysis: A two-phase sequential explanatory mixed method of analysis is employed. …”
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Degradation of mechanical properties of bovine cortical bone during long-term whole bone storage.
Published 2025“…A high degree of correlation between the methods demonstrates the accuracy and utility of this approach in small-specimen testing.…”
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Evaluation of capillary electrophoresis for the analysis of indigenous tea phenolics
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RF-EMF Radiation Exposure and Radio Resources Management in 5G Wireless Network
Published 2023“…It jointly incorporates admission control and a heuristic mechanism that takes the QoS constraints, the slice's and user's priorities into consideration to enhance resource utilisation efficiency, improve the throughput of users, and consequently, the QoE of users. …”
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Investigation of the effects of image compression on the geometric quality of digital protogrammetric imagery
Published 2023“…Image compression is a necessity for the utilisation of large digital images in softcopy photogrammetry, remote sensing, and multimedia GIS. …”
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Antimicrobial use practices and resistance in indicator bacteria in communal cattle in the Mnisi community Mpumalanga South Africa
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Optimised mix composition and structural behaviour of Ultra-High-Performance Fibre Reinforced Concrete
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Manufacturing and Performance of Fly Ash Based Synthetic Lightweight Aggregate
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Reducing the total cost of ownership of mining haul trucks
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The psychosocial stressors of women with HIV/AIDS involved in a support group (in Walvis Bay)
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'n Huweliksberaadmodel vir huwelike waarin buite-egtelike verhoudings voorkom
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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems
Published 2025“…In this study, a solar PV array's MPPT control problem under PSCs is investigated and addressed by applying three model-free and off-policy deep reinforcement learning (DRL) algorithms such as Deep Deterministic Policy Gradient (DDPG), Soft Actor-Critic (SAC), and Deep Q-Network (DQN) algorithm. They are utilized mainly due to their robustness and ability to handle continuous state spaces, unlike the traditional RL method, which operates with discrete action and state domains. …”
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Investigation of ship target recognition using neural networks in conjunction with the Fourier Mellin transform
Published 2016“…The FMDMT was thus examined extensively and utilised as it was developed and demonstrated in [20]. …”
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A CMIP5 Model Selection Specific to South Africa's Winter Rainfall Zone
Published 2023“…Here initially the extensive literature produced subsequent to the drought has been drawn on to identify and evaluate relevant regional process metrics, before utilising the anomalous conditions during the drought to validate various assessment methods. …”
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Exploring the role of context in emerging adults' experiences of occupational possibilities and occupational choice in a community in the Western Cape: a narrative inquiry
Published 2025“…Photovoice methods were used to generate visual data for interviews. …”
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An investigation into a generally applicable plant performance index
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Fundraising for Christian non-profit organizations
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Essential amino acid requirements for growth in woolled sheep
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