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Enhanced artificial bee colony-least squares support vector machines algorithm for time series prediction
Published 2014“…Upon the completion of data collection and data pre processing, the eABC-LSSVM algorithm is designed and developed. …”
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Development of a Prediction Algorithm using Boosted Decision Trees for Earlier Diagnoses on Obstructive Sleep Apnea
Published 2018“…OSA. The prediction algorithms developed are based on the OSA datasets collected mainly from the public hospitals in Selangor, Malaysia. …”
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Improved Boosting Algorithms by Pre-Pruning and Associative Rule Mining on Decision Trees for predicting Obstructive Sleep Apnea
Published 2017“…Better predictive accuracies were achieved in all the applied datasets/databases when comparing the classical algorithm, i.e. …”
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Comparison between multi-objective and single-objective optimization for the modeling of dynamic systems
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Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset
Published 2020“…This problem inspires the idea to develop a prediction algorithm to predict the missing values in the dataset, where Support vector regression (SVR) has been proposed as a prediction method to predict missing values in several academic types of researches. …”
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Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel
Published 2017“…Also, a sensitivityanalysis is presented to study the performance of each input combination in predictingincipient motion (15) Development of Group Method of Data Handling based on Genetic Algorithm to predict incipient motion in rigid rectangular storm water channel. …”
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A Study on Gradient Boosting Algorithms for Development of AI Monitoring and Prediction Systems
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Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel
Published 2017“…Using three di�erent sources of experimental data and GMDH-GA model, a new equation is proposed to predict incipient motion. The performance of development equation is compared using GMDH-GA and traditional equations . …”
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New Approach for E-Commerce Stock Prices Prediction : Combination of Machine Learning and Technical Analysis
Published 2022“…The investors are recommended to use machine learning algorithms to predict the price movements of e-commerce stocks. …”
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