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An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
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Predicting attackers of online shaming using ant colony optimization / Noor Shafiqa Fazlien Mohamad Fauzi
Published 2020“…This study implemented Ant Colony Optimization Algorithm to develop classification rules for predicting the attackers of online shaming. …”
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Application of artificial neural network in share price forecasting / Zakiah Mustafa
Published 1998“…Abstract This thesis present the applications of artificial neural network (ANN) to predict the share price of Telekom Malaysia Bhd. The back-propagation algorithm used to train the ANN. …”
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Optimalisation of a job scheduler in the grid environment by using fuzzy C-mean
Published 2007“…This paper presents the need for such a prediction and optimization engine that discusses the approach for history-based prediction and optimization. …”
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Ride with me - Ride-sharing application with opportunistic AI
Published 2023“…It applies opportunistic AI to optimise the scheduling of riders to passenger efficiently. The app is developed by using Flutter and the opportunistic AI algorithm that developed will assist in predicting the user’s daily schedule of location visit based on the user’s Google Maps’ data and thus, matching the driver and passengers intelligently. …”
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A static jobs scheduling for independent jobs in Grid Environment by using Fuzzy C-Mean and Genetic algorithms
Published 2006“…Our model presents the strategies of allocating jobs to different nodes, which we have developed the model by using Fuzzy C-Mean algorithm for prediction the characteristics of jobs that run in Grid environment and Genetic algorithm for jobs allocated to large scale sharing of resources. …”
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User to user topic recommendation model for student social interaction
Published 2025“…Then, a newly developed algorithm called the Social Recommendation (SAR) algorithm ranked and recommended the best topic for social interaction. …”
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Design, Develop And Perform Robustness Test Of Analyzer2 ver2
Published 2010“…The idea is to design and develop a new version of Analyze? software and test it so that it can be shared among other PETRONAS Operating Unit. …”
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Prediction of employee promotion using hybrid sampling method with machine learning architecture / Shahidan Shafie, Soek Peng Ooi and Khai Wah Khaw
Published 2023“…The purpose of using eight machine learning algorithms is to find out the most suitable model to predict employee promotion. …”
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Sentiment analysis of hotel reviews using Convolutional Neural Network / Sofea Aini Mohd Sufian
Published 2021“…So, the aim of this paper is to develop a prototype for hotel reviews using CNN Algorithm, to identify the requirements of CNN technique for text classification and also to evaluate the accuracy of CNN algorithm. …”
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A study on component-based technology for development of complex bioinformatics software
Published 2004“…Othman develop a predictive algorithm named R-HCSVM to predict protein local structure that works with following steps. …”
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Monograph -
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Predictive Analytics for Crude Oil Price Using RNN-LSTM Neural Network
Published 2020“…The result obtained from the model shows a promising prediction capability of the RNN-LSTM algorithm for predicting crude oil price movement. …”
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Nonparametric predictive inference forest fire dashboard
Published 2024“…The results of a novel method, nonparametric predictive inference (NPI) with copula were displayed in the NPIFF dashboard using the new R algorithm. …”
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A development of IoT based basal body temperature (BBT) device with ovulation and pregnancy prediction system using fuzzy logic method
Published 2019“…Therefore, this research has developed a prototype named TempIoT1.0 which is a BBT device that's equipped with a smart fertility prediction using fuzzy logic intelligence computational method that can predict ovulation and pregnancy. …”
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Text-based emotion prediction system using machine learning approach
Published 2020“…The main aim of this study is to develop text-based emotion recognition and prediction system. …”
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Indonesian Stock Price Prediction Using Neural Basis Expansion Analysis for Interpretable Time Series Method
Published 2024“…In conclusion, this research shows the use of a new method of deep learning algorithms to predict stock prices, which contributes to facilitating stock buying and selling decisions by investors…”
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