In silico screening, analysis, and modelling for a novel anticancer peptide by Abdou, Youssef

“…In this study, we have developed a support vector machine (SVM) model in order to detect peptide sequences with potential anticancer activity through scanning the Red Sea Metagenomic library. …”
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Roll service-life optimisation using paper quality measurements for condition indication

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Pattern recognition to detect fetal alchohol syndrome using stereo facial images by Veeraragoo, Mahalingam

“…Faces were classified using knearest neighbor (kNN), linear discriminant analysis (LDA) and support vector machine (SVM) classifiers. Principal component analysis was used for dimensionality reduction while classification accuracy was assessed using leave-one-out cross-validation. …”
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Learning to clean heritage point clouds by Hayward, Luc

“…This translates to a reduction in manual labelling e↵ort of up to 90%. Among the models tested, KPConv reliably produces good results with minimal need for human labelling. …”
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Species distribution modelling of Aloidendron dichotomum (quiver tree) by Dube, Qobo

“…Using five candidate machine learning methods and an ensemble model, we compared a number of approaches, including the role of balanced class (presence/absence) datasets in species distribution modelling. …”
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Synchronous generator and excitation system response to GIC by Jankee, Pitambar

“…Excitation system control appears to play a significant role in voltage drop reduction. As such, contingencies such as Geomagnetic Disturbances (GMDs) can be used to determine and tune optimal parameters of the excitation system control.…”
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Investigation of lubrication strategies in Ti6Al4V milling operations by Joubert, H. J.

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Cost model for bipolar plate manufacture by Atkinson, Juan Pablo

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Development of a human digital twin for human-centric dispatching for an assembly process by Kneissl, Anja

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Development of high efficiency high speed permanent magnet generator by Richmond, Colin

“…However, at high speeds these machines produce a substantial amount of heat. This makes the thermal management of these machines difficult and complicated, which leads to demagnetization and the reduction of the output power and shortens the lifetime of the critical components such as the bearings. …”
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The variable selection problem and the application of the roc curve for binary outcome variables

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Investigation and management of residual stresses in selective laser melting of maraging steel by Mugwagwa, Lameck

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Development of a methodology for artificial intelligence-based clustering of stow and pick operations in order to improve logistics performance in small and medium-sized enterprise... by Schroth, Timo Friedrich

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Assessing the extent of and changes in the wildlife sector in Limpopo province, South Africa

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The tensile material properties of plastic concrete and the influence on plastic cracking by Khan, Mohammed Yaseen

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Multivariate nonlinear time series analysis of dynamic process systems by Jemwa, Gorden Takawadiyi

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A BIM-Based Flexible Flow Shop Framework for Scheduling Linear Infrastructure Projects by ElBassuony, Mahmoud Mohamed

“…Specifically, the FFS model can achieve a reduction of up to 14.5% in the total makespan, reductions in idle time ranging from 10% to 18%, and cost savings of up to 8%. …”
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Check weighing in table grape punnet packing: Opportunities in the development of operational effectiveness by Smit, Rudi

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A process performance monitoring methodology for mineral processing plants by Groenewald, Jacobus Willem De Villiers

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Optimising vehicle velocity profiles in real-time

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