Machine learning methods for large deviations by Cloete, Daniël Willem Hendrik

Subjects: “…Random variables…”
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Quantum randomness by Strydom, Conrad

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Yield analysis optimization of microwave devices; antennas using non-linear partial-least-squares; polynomial chaos expansion by Klink, Dieter Gert

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Topical Lipolytic Enzymes Combined With a Multichannel Energy‑Based Device for Cellulite Treatment: A Randomized Exploratory Pilot Study

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Ultrasound-Guided Pectoral Nerve Block for Cardiac Implantable Electronic Device Implantation: A Prospective Randomized Controlled Trial of Postprocedural Analgesic Benefit in an Asian Population

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Assessing the Safety and Efficacy of a Noninvasive Device in the Management of Musculoskeletal Pain Using Low-Level Light Therapy: Double-Blinded, Randomized, Placebo-Controlled, Multicentric Study

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Parameter estimation of a high-voltage transformer using pseudo-random impulse sequence perturbation by Banks, Daniel

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Wideband modelling and parameter estimation of capacitor voltage transformers using a pseudo-random impulse sequence by Solomon, Anthea

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A mass memory system for satellites using field programmable gate arrays and synchronous DRAM by Vosloo, Jacobus Jurie

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Testing Numeric: Evidence from a randomized controlled trial of a computer based mathematics intervention in Cape Town high schools by Böhmer, Bianca

“…This thesis presents the results of randomized controlled trial conducted to evaluate a Grade 8 after-school mathematics intervention. …”
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Interference Management of Inband Underlay Device-toDevice Communication in 5G Cellular Networks by Boamah, Sharon Ampomaa

“…Device-to-Device (D2D) communication is one of the several emerging technologies that has been proposed to support NGN in meeting these aforementioned requirements. …”
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An Epileptic Seizure Detection Method from EEG Signals based on a Classifier-Driven Feature Reduction Technique by Kamel, Raymond N.

“…Based on this ensemble, a predictor importance analysis is conducted to reduce the features fed to the classifier to only those with the highest estimates of importance due to their significant contribution to the classification accuracy. A random forest ensemble is finally trained using the reduced features set to classify the involved signals. …”
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Using mobile devices in the Bachelor of Nursing Sciences blended program at University of Nairobi : student perceptions and experiences by Bosire, Kefa O

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Evaluation of positive expiratory pressure (PEP) devices as an adjunct to cardio-respiratory physiotherapy in patients following open abdominal surgery by Jacobs, Rene Catherine

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