Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…Reinforcement learning (RL) is a model-free optimization approach that can learn solar PV behaviour and store and reuse optimization information for future optimization tasks. …”
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Enhanced bioethanol fermentation from mixed xylose and glucose using free and immobilized cultures: mathematical model and experimental observation by Ghods, Nosaibeh Nosrati

“…In this study, the dual micro-organism route is explored. There are numerous problems associated with co-culturing. Xylose, a non-preferred carbon source is only converted if the glucose concentration is adequately low due to catabolite repression. …”
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Resource allocation mechanism for multiuser multichannel cognitive radio networks

“…The advantages of the DPM mechanism in optimizing the performance of CRN is also revealed by the formulation and solution of the optimization problem. …”
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Numerical solution of advection-diffusion and convective Cahn-Hilliard equations

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Parametric Yield and Tolerance Optimisation of Electromagnetic Devices using Feature-based Non-Linear Partial Least Squares Polynomial Chaos Expansion Surrogates by Nfanyana, Ketshabile

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Efficient energy management in ultra-dense wireless networks by Wambi, Paul James

“…The proposed solution to the formulated optimization problem makes use of constraint relaxation to transform the NP-hard problem into a more solvable, convex and linear optimization one. …”
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Inter-cell interference coordination in 5G ultra-dense networks by Afolalu, Oladele Felix

“…Due to non-convex nature of the problem, the optimization is transformed into sub-optimal convex equivalence, while a low complexity Algorithm that yields optimal resource allocation is then designed to solve it. …”
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Distributed IP mobility management for hosts and networks by Ernest, Petro Pesha

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Design and optimisation of a low cost Cognitive Mesh Network by Nleya, Sindiso M

“…Recent developments in TV white space communications technology and the emergence of Cognitive radio devices that facilitate Dynamic Spectrum Access (DSA) have provided an opportunity to mitigate the spectrum scarcity problem. To solve the scarcity problem, this thesis reconsiders the classical Network Engineering (NE) and Traffic Engineering (TE) problems to objectively design a low cost Cognitive Mesh network that promotes efficient resources utilization and thereby achieve better Quality of Service (QoS) levels.…”
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Resource allocation optimisation in heterogeneous cognitive radio networks

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Mixed-Criticality Scheduling Using Reinforcement Learning by ElSeadawy, Omar

“…Researchers also simplify the modeling of the dynamic elements of the problem, e.g., varying-speed processors, by using simple assumptions that the processor's speed doesn’t recover from degradation, which simplifies the problem but is not very realistic. …”
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Queueing based resource allocation in cognitive radio networks

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Decision support for the production and distribution of electricity under load shedding by Rakotonirainy, Rosephine Georgina

“…In this research project we study two optimization problems related to load shedding. The first is how load shedding can be integrated into the unit commitment problem. …”
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Mitigation of control errors in quantum annealing by Dlamini, Thembelihle Rose

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Visualisation of ATM network connectivity and topology by Saal, Oliver

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Plastic bags waste management using the knapsack model case study: trashy bags, Accra by Gambrah, Patience Pokuaa

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Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station by Arwa, Erick Odhiambo

“…Further, an advantage actor-critic (A2C) algorithm was developed and was used to solve the power scheduling problem. The two algorithms were tested using a 24-hour load, generation and utility grid tariff profiles under static optimization conditions. …”
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Health of street children in Cape Town, May-November 1989 by Gebers, Paul Eric

“…On the basis of these results, the following are recommended: 1) Improving accessibility of health care resources. 2) Improving the availability of health care resources. 3)· Initiating contacts with street children by employing field health workers. 4) Drawing up a health care policy for street children institutions and field care workers. 5) Limit venereal disease management to single dose treatment where possible. 6) Further studies need to be undertaken in the following areas: - solvent abuse - utilisation of health care resources utilisation institutions of street children shelters and Further breakdown of habits, physical problems and results of examinations are presented.…”
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An optimum bank fund allocation plan from a loan portfolio: the case study of Atwima Kwanwoma Rural Bank by Sebil, Charles

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Optimum predictive modelling, holistic integration and analysis of energy sources mix for power generation and sustainability in developing economies : a case of the Nigerian power...

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