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RETRACTION: Dynamic Monitoring of Football Training Based on Optimization of Computer Intelligent Algorithm
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A reinforcement learning approach to quadruped locomotion: framework, training, and evaluation
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Localization and tracking of high-speed trains using compressed sensing based 5G localization algorithms
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Entropy generation minimisation of shell-and-tube heat exchanger in crude oil preheat train using firefly algorithm
Published 2018Subjects: “…Preheat train…”
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A hyperheuristic approach towards the training of artificial neural networks
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The development of pre-service teachers mathematical knowledge for teaching flexible mental computation
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Prediction of construction material prices using macroeconomic indicators: A neural networks model
Published 2019“…The three models are developed using Microsoft Excel spreadsheet that also utilizes Genetic Algorithm (GA) to minimize the error between the actual and predicted prices, Excel Add-in called Neural Tools, and Python programing language in Spyder software. …”
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Evolutionary algorithms for optimising reinforcement learning policy approximation
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GAdaboost: Accelerating adaboost feature selection with genetic algorithms
Published 2016“…In this thesis we propose GAdaboost: A Genetic Algorithm to accelerate the training procedure of the Viola-Jones Rapid Object Detector through Feature Selection. …”
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Classification of customer complaints using machine learning algorithms
Published 2025“…These algorithms are trained on three different word vectorisation techniques namely: CV, TFIDF, and Word2Vec word-embedding. …”
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Eco-driving applications to freight trains
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ADR-Miner: An Ant-based data reduction algorithm for classification
Published 2015“…Data preparation is crucial to the data mining process, and its focus is to improve the tness of the training data for the learning algorithms to produce more e ective classi ers. …”
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The Effect of Dataset Size on the Performance of Classification Algorithms for Credit Scoring
Published 2023“…This dissertation extends the research into the benchmarking of different classification algorithms by looking to establish the effect that the size of a training dataset has on the relative performance of different algorithms. …”
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Performance analysis of text classification algorithms for PubMed articles
Published 2022“…Of all of the classifier models trained, logistic regression on Tf-idf vectorised entities achieved highest accuracy. …”
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Reinforcement learning for algorithmic day trading on the Johannesburg Stock Exchange
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Application of Chebyshev approximation techniques applied to banking risk calculations
Published 2025Subjects: “…Tensors-train format and completion algorithm…”
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