Search Results - "Samsudin, Ruhaidah"

A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting by Ismail, Shuhaida, Shabri, Ani, Samsudin, Ruhaidah

“…► In this study, we proposed a new hybrid model of SOM-LSSVM for time series forecasting. ► To varify the results, two well-known datasets know as the sunspot…”
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Graph-based extractive text summarization method for Hausa text by Bichi, Abdulkadir Abubakar, Samsudin, Ruhaidah, Hassan, Rohayanti, Hasan, Layla Rasheed Abdallah, Ado Rogo, Abubakar

“…Automatic text summarization is one of the most promising solutions to the ever-growing challenges of textual data as it produces a shorter version of the…”
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Crude Oil Price Forecasting Based on Hybridizing Wavelet Multiple Linear Regression Model, Particle Swarm Optimization Techniques, and Principal Component Analysis by Shabri, Ani, Samsudin, Ruhaidah

“…Crude oil prices do play significant role in the global economy and are a key input into option pricing formulas, portfolio allocation, and risk measurement…”
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Graph-Based Extractive Text Summarization Models: A Systematic Review by Abdulkadir Bichi, Pantea Keikhosrokiani, Rohayanti Hassan, Khalil Almekhlafi

“…The volume of digital text data is continuously increasing both online and offline storage, which makes it difficult to read across documents on a particular…”
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Application of Improved GM(1,1) Models in Seasonal Monthly Tourism Demand Forecast by Shabri, Ani, Samsudin, Ruhaidah

“…The majority of tourism demand time series show patterns in terms of seasonal, cyclical and trend components, leading to low accuracy in medium and long-term…”
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The Influence of Sentiments in Digital Currency Prediction Using Hybrid Sentiment-based Support Vector Machine with Whale Optimization Algorithm (SVMWOA) by Hitam, Nor Azizah, Ismail, Amelia Ritahani, Samsudin, Ruhaidah, Ameerbakhsh, Omair

“…Getting an accurate prediction of a digital currency, also known as a cryptocurrency price index, becomes a significant factor in helping investors make the…”
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A new approach for water demand forecasting based on empirical mode decomposition by Shabri, Ani, Samsudin, Ruhaidah

“…Forecasting of water demand is becoming an essential tool for the design, management and modernization of water supply and distribution systems. In this paper,…”
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New hybridization of empirical mode decomposition and least squares support vector machine model in forecasting Malaysia exchange rates by Rashid, Nur Izzati Abdul, Shabri, Ani, Samsudin, Ruhaidah

“…This paper proposed a modification of the hybridization of empirical mode decomposition (EMD) and least squares support vector machine (LSSVM) model named as…”
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