Bone health in post-menopausal patients with breast cancer treated with aromatase inhibitors: factors predicting the risk for osteoporosis. by Baatjes, Karin Jeanné

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Diagnostic accuracy of novel sputum and non-sputum-based tuberculosis diagnostics in HIV-positive patients initiating anti-retroviral therapy by Ndlangalavu, Gcobisa

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Smart dock for bicycle protection in theft-prone urban areas by Swanepoel, Mardu Christof

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Development of a robust myoelectric control architecture for lower limb robotic prostheses applications. by Garikayi, Talon

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Real-Time behaviour classification techniques in low-power animal borne sensor applications by Solomon Petrus, Le Roux

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Generator maintenance scheduling based on the expected capability of satisfying energy demand by Eygelaar, Jancke

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ADM1 Parameter Calibration Method based on partial least squares regression framework for industrial-scale anaerobic digestion modelling by Xu, Zhehua

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How to transform the workplace environment to prevent and control risk factors associated with non-communicable chronic diseases by Schouw, Darcelle

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The evaluation of novel biomarkers and antigens for the diagnosis of Mycobacterium bovis infection in African buffaloes (Syncerus caffer). by Goosen, Wynand Johan

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Postconditioning the isolated perfused rat heart : the role of kinases and phosphatases by Van Vuuren, Derick

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Self-adapting simulated artificial societies by Gower-Winter, Brandon

“…Agent-Based Models (ABM) are computational models that utilize autonomous agents to interact and adapt to the environments in which they occupy. …”
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Machine Learning for Radio Frequency Interference Flagging by Harrison, Kyle

“…Predictions for unseen test data are compared between algorithms, different implementations of those algorithms and each dataset. …”
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Adaptive radio resource management schemes for the downlink of the OFDMA-based wireless communication systems by Isaac, Bernard Nyakundi

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Detecting network attacks using high-resolution time series by Lorgat, Mohamed Wasim

“…The aim of this thesis is therefore to provide an underlying theory for understanding a single class of detection algorithms, in particular, anomaly-based network intrusion detection algorithms that utilise high-resolution time series data. …”
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Kalman Filtering and its Application to On-Line State Estimation of a Once-Through Boiler by Patel, Zubeida

“…The second part of this thesis uses these algorithms to demonstrate the feasibility of on-line state estimation on the main components of a once-through utility power boiler that require in excess of a hundred state variables to capture its behaviour with adequate fidelity. …”
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Automated analysis of digital medical images in cervical cancer screening: A systematic review by Ledwaba, Leshego

“…Furthermore, the systematic review summarized evidence of the algorithms which are being created utilizing portable devices, to circumvent constraints prohibiting wider implementation in LMICs (such as expensive diagnostic infrastructure). …”
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A framework for evaluating clinical data using graph-based link prediction by Parshotam, Himil

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Digital control of line-interactive UPS by Van Papendorp, J. F.

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