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Performance evaluation of real-time multiprocessor scheduling algorithms
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System identification using Extended Kalman Filter
Published 2017“…Many algorithm have been proposed to do an estimation process such as Lavemberg-Marquardt (LM), Orthogonal Least Square (OLS), Recursive Prediction Error (RPE) and Modified Recursive Prediction Error (MRPE). …”
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Machine learning as new approach for predicting of maxillary sinus volume, a sexual dimorphic study
Published 2023“…Because it is an irregularly shaped cavity that may be difficult to measure manually, robust imaging techniques such as cone-beam computed tomography (CBCT) used in conjunction with machine learning (ML) algorithms may offer quick and vigorous ways to make accurate predictions using sinus data. …”
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Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
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A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee
Published 2023“…The results show that the RF algorithm exhibits better prediction performance, with R2 of 0.798. …”
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Thesis -
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Neural Network – A Black Box Model
Published 2024“…The basic unit of ANN is the artificial neurons. A group of neurons forms a layer. …”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. This application can be installing into the mobile phone.…”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The support vector machines (SVM) algorithm obtained the overall best results of 94.5% accuracy, 91.8% precision, 91.7% recall, and 91.1% f-Measure while the naïve bayes (NB) algorithm obtained the best AUC score of 0.944 with the tweet data of Dato Seri Anwar. …”
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Text-based emotion prediction system using machine learning approach
Published 2020“…Therefore, four supervised machine learning classification algorithms such as Multinomial Naïve Bayes, Support Vector Machine, Decision Trees, and kNearest Neighbors were investigated. …”
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Conference or Workshop Item -
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Landslide susceptibility mapping at VAZ watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF)...
Published 2013“…The main objective of this study was to investigate and compare the results of two artificial neural network (ANN) algorithms, i.e., multilayer perceptron (MLP) and radial basic function (RBF) for spatial prediction of landslide susceptibility in Vaz Watershed, Iran. …”
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An Educational Tool Aimed at Learning Metaheuristics
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Enhancing predictive crime mapping model using association rule mining for geographical and demographic structure
Published 2014“…This research project is to enhanced predictive crime mapping model with data mining technique to predict the possible rate of crime occurrence. …”
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Mining association rules from structured XML data
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