Performance analysis of text classification algorithms for PubMed articles by Savvi, Suzana

“…This research provides a case study which compares the performance of several different machine learning algorithms (Topic Modelling, Random Forest, Logistic Regression, Support Vector Classifiers, Multinomial Naive Bayes, Convolutional Neural Network and Long Short-Term Memory (LSTM)) in reproducing manually assigned MeSH annotations. …”
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The Effect of Dataset Size on the Performance of Classification Algorithms for Credit Scoring by Gidlow, Liam

“…Secondly, a learning curve analysis established by researchers in a different field is utilised – this technique, which involves training algorithms on subsamples of different sizes of a large dataset, allows us to investigate the ability of different algorithms to leverage additional data to improve prediction performance. …”
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Spatiotemporal Performance Analysis to Identify Degradation Trends in a Utility-Scale PV Plant by Bekker, Neil Francois

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Performance comparison of two dynamic shared-path protection algorithms for WDM optical mesh networks

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An empirically derived system for high-speed shadow rendering

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Development of a screening algorithm for the cervical cancer prevention programme in Botswana

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Resource scheduling algorithm for maintenance planning by Young, Kirsten

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A qualitative model of evolutionary algorithms by Fagan, Francois

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Landscape analysis-based automated algorithm selection by Lang, Ryan Dieter

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Evolutionary algorithms for routing problems with drones with interceptions by Ernst, Rudolf Heinrich

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Time-cost-quality trade-off analysis for construction projects by ElBassuony, Mahmoud

“…For the aforementioned purpose, three various Microsoft Excel based TCQT models have been developed as follows: • First, a simplified model is developed with the objective of optimizing the total duration, cost, and quality of simple construction projects utilizing the GA-based Excel add in Evolver. • Second, a stochastic model is developed with the objective of optimizing the total duration, cost, and quality of construction projects applying the PERT approach in order to consider uncertainty associated with the performance of execution options and the whole project. • Third, an advanced multi objective optimization model is developed utilizing a self-developed optimization tool having the following capabilities: 1. …”
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Neurocontroller development for nonlinear processes utilising evolutionary reinforcement learning by Conradie, Alex van Eck

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Metrics to evaluate compressions algorithms for RAW SAR data

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Metrics to evaluate compressions algorithms for RAW SAR data

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Self-organising traffic control algorithms at signalised intersections by Einhorn, Mark David

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Channel estimation and tracking algorithms for vehicle to vehicle communications by Awad, Moustafa

“…The proposed algorithms utilize the finite alphabet property of the transmitted symbol, time domain truncation, decision-directed as well as pilot information. …”
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Diagnostic Algorithm for Accurate detection of breast carcinoma on ultrasound

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IGP traffic engineering : a comparison of computational optimization algorithms by Wang, Hong Feng

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Greedy Algorithm and Model for Analysis of a Bus Fleet's Operations by McGladdery, Duncan

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