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Market prices trend forecasting supported by Elliott Wave's theory
Published 2017“…The trend prediction is supported by application of recognized Elliot waves which was performed by custom developed algorithm based on available knowledge about the patterns. …”
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Article -
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Multi-horizon ternary time series forecasting
Published 2013“…This is mainly because state-of-the-art forecasting algorithms essentially perform single-horizon forecasts and produce continuous numbers as outputs. …”
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Proceeding Paper -
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The forecasting of poverty using the ensemble learning classification methods
Published 2023“…The results of the algorithms showed the poverty trend, which helped to determine the poverty classification. …”
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A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy
Published 2022“…This stochastic learning method is a useful addition to the existing methods for determining the center and smoothing factors of radial basis function neural networks, and it can also help the network more efficiently train. GDP forecasting is aided by the genetic algorithm radial basis neural network, which allows the government to make timely and effective macrocontrol plans based on the forecast trend of GDP in the region. …”
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Prediction of epidemic trends in COVID-19 with Mann-Kendall and recurrent forecasting-singular spectrum analysis
Published 2021“…A Singular Spectrum Analysis-based forecasting model that discriminates noise in a time series trend is introduced. …”
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Forecast of Muslimah fashion trends in Caca's company / Muhammad Saifullah Mohd Taip
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Student Project -
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Dynamic forecasting model for short series age-specific mortality / Wan Zakiyatussariroh Wan Husin
Published 2017“…The third objective is to develop the LC model within a state space framework (LC-SS model) as a common factor model with single and multiple common trends for forecasting Malaysia age-specific mortality. …”
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Thesis -
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Sales Prediction Using Artificial Neural Network
Published 2023“…In this research, an Artificial Neural Network (ANN) model was developed for the sales prediction. This research proposed the use of ANN for forecasting sales as an alternative to conventional forecasting techniques. …”
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Undergraduates Project Papers -
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Predicting sales trends for school cooperative using Market Basket Analysis
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Student Project -
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Optimal short term load forecasting using LSSVM and improved BFOA considering Malaysia pandemic disrupted situation
Published 2024“…Due to that reason, in this study, the hybrid forecasting model based on the Least Square Support Vector Machine (LSSVM) and Improved Bacterial Foraging Optimization Algorithm (IBFOA) is developed to perform an accurate STLF and applied to load in Peninsular Malaysia during the pandemic disrupted situation. …”
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Thesis -
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A review on deep learning approaches to forecasting the changes of sea level
Published 2021“…The present paper aims to review several Deep Learning (DL) algorithms that address critical issues of forecasting, specifically a time variable known as time series by managing complex patterns and inefficiently capturing long-term multivariate data dependency. …”
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Conference or Workshop Item -
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Short-term forecasting of daily confirmed COVID-19 cases in Malaysia using RF-SSA model
Published 2021“…The advantage of using this forecasting model is it would discriminate noise in a time series trend and produce significant forecasting results. …”
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Article -
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The Jordan Pi-Sigma neural network for temperature prediction
Published 2012“…The use of PSNN itself for temperature forecasting is preferably utilisable just yet. Notwithstanding, this study disposed towards an idea to develop a new network model called a Jordan Pi-Sigma Neural Network (JPSN) to overcome the drawbacks of ordinary NN, whilst taking the advantages of PSNN. …”
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Thesis -
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Forecasting inflation rate in Malaysia using Artificial Neural Network (ANN) Approach / Muhammad Athir Mohd Junaidi and Siti Aishah Mohd Shafie
Published 2023“…Hence, many forecasting methods have been developed to produce accurate predicted values. …”
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Book Section -
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Forecasting inflation rate in Malaysia using Artificial Neural Network (ANN) approach / Muhammad Athir Mohd Junaidi and Siti Aishah Mohd Shafie
Published 2023“…Hence, many forecasting methods have been developed to produce accurate predicted values. …”
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Book Section -
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Application of Univariate Model and Box- Jenkin Techniques in forecasting stock price of Dutch Lady Milk Industries / Alia Nurain Mohd Bahari, Atikah Nurfarahana Rusahizam and Fara...
“…Therefore, if an effective algorithm could be developed to predict the short-term price of a single stock, there would be more opportunities to invest and launch a business in the stock market. …”
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Student Project -
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Rabies Outbreak Prediction Using Deep Learning with Long Short-Term Memory
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Book Chapter -
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Load demand analysis for high rise residentals of Petaling Jaya
Published 2024text::Final Year Project
