A new connectivity strategy for wireless mesh networks using dynamic spectrum access by Maliwatu, Richard

“…For hybrid links comprising radios with significantly unequal data-rates, this study proposes an adaptive round-robin (ARR) based algorithm for efficient multilink utilisation. Numerical analysis indicate that ARR provides 75 % throughput improvement. …”
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RF-EMF Radiation Exposure and Radio Resources Management in 5G Wireless Network by Ajibare, Adedotun Temitope

“…The performance of the proposed schemes were evaluated and compared with standards and other algorithms in the literature. …”
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Relay assisted device-to-device communication with channel uncertainty by Uyoata, Uyoata Etuk

“…The formulated rate maximization problem is solved for deterministic and probabilistic constraint scenarios, and the problem extended to a multiple-input single-out scenario for which robust beamforming was designed. Finally, relay utility and social distance based selection algorithms are proposed for full duplex decode and forward device-to-device communication set up. …”
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An attitude control system for the deployment and stabilisation of a tethered dual CubeSat mission by Kearney, Mike-Alec

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

“…The two algorithms were tested using a 24-hour load, generation and utility grid tariff profiles under static optimization conditions. …”
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SdrLift: A Domain-Specific Intermediate Hardware Synthesis Framework for Prototyping Software-Defined Radios by Tsoeunyane, Lekhobola Joachim

“…In order to alleviate these problems, Domain-Specific Languages (DSL) have been introduced to capture algorithms at a high level of abstraction with more expressive power and providing domain-specific optimizations that factor in new transformations and the trade-off between resource utilization and system performance. …”
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BIM-Based model for the automatic generation and optimization of planning and 4-D scheduling for concrete skeleton: A graph theory approach by Essawy, Yasmeen

“…For this purpose, an intelligent framework with advanced computational tools and algorithms is designed and created to achieve a higher degree of design-construction integration and spatial integration of individual building elements in order to achieve an optimized sequencing of building elements (in terms of time and resource utilization). …”
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Efficient radio resource management in next generation wireless networks by Obayiuwana, Enoruwa

“…In this thesis, an Adaptive Thinning Mobility Aware (ATMA) Call Admission Control (CAC) algorithm for improving the QoS and radio resource utilization of the mobile hotspot networks, which are of critical importance for communicating nodes in moving wireless networks is proposed. …”
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Robust portfolio construction: using resampled efficiency in combination with covariance shrinkage by Combrink, James

“…The output is a set of 'optimal' investment weights, one per each share who's returns were fed into the algorithm. This thesis looks at identifying and removing avoidable risk through a statistical robustification of the algorithms and attempting to improve upon the 'optimal' weights provided by the algorithms. …”
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AN EFFICIENT INTERFERENCE AVOIDANCE SCHEME FOR DEVICE-TODEVICE ENABLED FIFTH GENERATION NARROWBAND INTERNET OF THINGS NETWOKS’ by unknown

“…The thesis also addressed the problem where the cell-edge NUE's QoS is critical to challenges such as long-distance transmission, delays, low bandwidth utilization, and high system overhead that affect 5G NB-IoT network performance. …”
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Multi-purpose applications of energy storage systems in a power system network by Okafor, Chukwuemeka Emmanuel

“…A novel methodology for the optimal sizing of a BESS for the multiple functions of providing support for the frequency nadir (during contingency events), reduction of real power losses, and mitigation of voltage deviations using the deep sleep optimizer (DSO) algorithm was developed. The proposed method establishes a relationship between frequency nadir, voltage variations, power losses, and the BESS multiplier by utilizing regression analysis techniques in multi-objective mathematical formulations. …”
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Kalman Filtering and its Application to On-Line State Estimation of a Once-Through Boiler by Patel, Zubeida

“…One such example is in utility boilers where reliable and real-time data characterising its behaviour is used to detect faults and optimise performance. …”
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Design and optimization of an embedded machine learning image processing system with a Linux SOC for large-scale livestock tallying by Le Roux, Morne

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The development of satellite derived nitrate and stratification indices for the southern Benguela ecosystem by Khumalo, Madoda Brian

“…There were however two concerns that needed further consideration in the approach: 1).The large warm bias discovered between the in situ and remotely sensed temperatures which had a direct influence on the validity of the algorithms in the ecosystem and 2.) The temporal and spatial disconnects between the physical forcing and biological response of the ecosystem and subsequent impact upon the utility of the remotely sensed proxies.…”
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Ant Colony Optimization approaches for the Sequential Ordering Problem by Ezzar, Ahmed Mohamed Alaa El-din

“…The second is also an extension of EACS, based on Jayadeva et al.'s (2013) EigenAnt algorithm. EigenAnt aims to avoid the problem of stagnation found in ACO algorithms by, among other unique properties, utilizing a selective rather than global pheromone evaporation model, and by discarding heuristics in the solution construction phase. …”
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Dataset selection for aggregate model implementation in predictive data mining

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

“…In this dissertation, MATLAB/Simulink software was used to develop the MPPT system, while the RL toolbox in MATLAB was used to train the DRL algorithms. Also, the P&O method was developed for comparison purposes and to validate the DRL algorithms' performance. …”
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Applying the cross-entropy method in multi-objective optimisation of dynamic stochastic systems by Bekker, James

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Optimal energy management for a grid-tied solar PV-battery microgrid: A reinforcement learning approach by Muriithi, Grace

“…The feasibility of two RL algorithms, namely, conventional Q-learning algorithm and deep Q network algorithm, are developed, and their efficacy in performing optimal energy management for the designed system is evaluated in this thesis. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…We are therefore of the opinion that the hybrid switching model proposed utilizing machine learning algorithms can address the scalability issues in the design of SDN controller networks, particularly in data centre environments where high switching speeds are of paramount importance.…”
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