Service delivery at Itsoseng psychology clinic : a programme evaluation

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Sammy Marks Business Hotel

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Alice in a township : accessible learning through an interactive communal educational environment

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An Analysis of Overfitting in Particle Swarm Optimised Neural Networks

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Implementation of a low-cost bistatic radar

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Batch sizing and scheduling on a volatile production line through the usage of linear optimisation by Hugo, Jeanne-Marie

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Designing an investor focused communication strategy framework based on dialogic theory : an interpretive qualitative study of publicly listed companies in South Africa

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Circulating markers of endothelial activation in canine parvoviral 4 enteritis

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Bi-directional DC-DC converter with energy management and protection capabilities For LVDC grids

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The statistical modelling of growth

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Developing an alternative approach to mode choice modelling with the application of modelling Gautrain patronage by Marais, Andre Louis

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Aspects of purine and pyrimidine metabolism by Black, Duncan Arthur

“…This explains the lack of significant uptake of orotate by most differentiated tissues which lack the intact band 3 protein. …”
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'n Ondersoek na die seleksie en funksie van internasionale kinderboeke wat in Afrikaans vertaal is vir die tydperk 1990-2018 by Williams, Anzette

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Monitoring rehabilitation success on Namakwa Sands heavy minerals mining operations, Namaqualand, South Africa by Blood, Jeremy Russell

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Never simply nudity by Martin, Amy

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Beneath the raptor’s wings : the avian composition grasping the symbol for eternity in Egypt by Klop, Damian J. R.

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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…This primitive and model-free form of reinforcement learning utilizes the Markov Decision Process and the Bellman's equation to reiteratively update Q-values in Q-table for every transition in the network environment state, until Q-function has converged to the best Q-Values. The greedy strategy is employed to guide the reinforcement learning agent in selecting the most suitable Q-values from the Q-Table. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…This primitive and model-free form of reinforcement learning utilizes the Markov Decision Process and the Bellman's equation to reiteratively update Q-values in Q-table for every transition in the network environment state, until Q-function has converged to the best Q-Values. The greedy strategy is employed to guide the reinforcement learning agent in selecting the most suitable Q-values from the Q-Table. …”
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Metabolic effects of glycine supplementation in captive cheetahs (Acinonyx jubatus)

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Development of an evaluative framework promoting a paradigm shift towards resource recovery in wastewater treatment by Coothen, Yuva

“…The latter has been modified such that the weighting assigned to each pollutant is a function of the regionspecific or WWTP-specific pollutant concentration limits. …”
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