High performance non-symmetric multi-h CPFSK modulator and demodulator design by Cuthbert, James

“…Specifically, a genetic search algorithm known as the Population Based Incremental Learning algorithm was utilized. …”
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A hybrid scavenger grid approach to intranet search by Nakashole, Ndapandula

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Survivability and resilience mechanisms in modern optical fibre systems

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Multi-objective optimisation under deep uncertainty by Shavazipour, Babooshka

“…Nevertheless, analysis of the length of the planning horizon and its effects on the solutions to the proposed frameworks indicate that utilising the three-stage models is more efficient for longer periods because the differences between the solutions of the two proposed structures increase by any iteration of the algorithms in moving horizon models. Moreover, during the long-term calculations, we noticed that the two-stage algorithm failed to find the optimal solutions for some iterations while the three-stage algorithm found the optimal value in all cases. …”
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Study of the TR Synchronization and Video Conversion Unit by Abraham, Justin Kuruvilla

“…A new SVCU architecture, utilizing high speed ADCs and digital integrators, was then tested. …”
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Performance analysis of FBMC over OFDM in Cognitive Radio Network by Agoni, Amakan Elisha

“…A resource allocation algorithm was proposed where much attention was focused on interference and power constraint. …”
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Screening for Proteinopathic-related Dementias in Low-resource Clinical Contexts: A Machine Learning Approach by Lewis, Raphaella

“…Information from 20 clinical variables were used as features for the analysis. We used C5.0 algorithms to identify the most important features for PRD diagnosis and to derive an algorithm that could accurately diagnose these types of dementia. …”
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Genolve : a bioinformatics tool for the study of structure-driven genome evolution by Fouche, Helene

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Slotted time based protocol and polling strategies for low speed, narrow band applications by Ragadza, Ntakadzeni Ronald

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Automated brick sculpture construction by Smal, Eugene

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Modelling of the deaerator system in Flownex by Banda, Richard Bobby

“…The analytical model was developed by writing a Mathcad algorithm that solved the steady state one-dimensional mass and energy conservation equations around the deaerator boundary together with the oxygen component continuity equation. …”
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A graph-based framework towards trading financial markets by Pretorious, Joshua Chance

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Metaheuristics for the selection and scheduling of jobs with time-dependent durations by Le Roux, Gavin James

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Structural analysis in a distributed collaboratory by Van Rooyen, G. C. (Gert Cornelis)

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Automated Machine Learning for Predicting Trends in Time Series Data by Kouassi, Kouame

“…Recently, a hybrid Deep Neural Network (DNN) algorithm, TreNet was proposed for predicting trends in time series data. …”
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Improved decoder metrics for DS-CDMA in practical 3G systems by Elbassiouny, Shady Osama Mahmoud

“…MUDs, however, suffer from high complexity, including most of sub-optimal algorithms. Hence, most commercial implementations still use conventional single-user matched filter detectors. …”
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The application of machine learning for computational electromagnetic solver selection by De la Bat, Willem

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From high-speed superconducting devices to nanosensors by Perold, Willem

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Molecular genetic analyses of antipsychotic pharmacogenes in a South African first episode schizophrenia cohort by Higgins, Faatiemah

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