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Nashrīyah-i mudīrīyat-i fannāvarī-i iṭṭilāʻāt, 2022-02, Vol.14 (5th International Conference of Reliable Information and Communication Technology (IRICT 2020)), p.184-202

2022

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Forecasting Crude Oil Prices using Discrete Wavelet Transform with Autoregressive Integrated Moving Average and Least Square Support Vector Machine Combination Approach

International journal on advanced science, engineering and information technology, 2017-09, Vol.7 (4-2), p.1553

2017

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Drought Forecasting Using Gaussian Process Regression (GPR) and Empirical Wavelet Transform (EWT)-GPR in Gua Musang

Emerging Trends in Intelligent Computing and Informatics, p.152-161

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COMPARISON BETWEEN MEMD-LSSVM AND MEMDARIMA IN FORECASTING EXCHANGE RATE

Journal of Theoretical and Applied Information Technology, 2017-01, Vol.95 (2), p.328-328

2017

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Streamflow estimation at ungauged site using wavelet group method of data handling in peninsular Malaysia

International journal of mathematical analysis, 2014, Vol.8, p.513-524

2014

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AI for Heart Rate Measurements for Sport Performance: A review

IOP conference series. Materials Science and Engineering, 2019-08, Vol.551 (1), p.12041

2019

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Intelligent Learning Model Based On Significant Weight Of Domain Knowledge Concept For Adaptive E-Learning

International journal on advanced science, engineering and information technology, 2017-09, Vol.7 (4-2), p.1486

2017

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Application of Improved GM(1,1) Models in Seasonal Monthly Tourism Demand Forecast

2019 1st International Conference on Artificial Intelligence and Data Sciences (AiDAS), 2019, p.186-190

2019

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A HYBRID GMDH AND LEAST SQUARES SUPPORT VECTOR MACHINES IN TIME SERIES FORECASTING

Neural Network World, 2011-01, Vol.21 (3), p.251-268

2011

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The Influence of Sentiments in Digital Currency Prediction Using Hybrid Sentiment-based Support Vector Machine with Whale Optimization Algorithm (SVMWOA)

2021 International Congress of Advanced Technology and Engineering (ICOTEN), 2021, p.1-7

2021

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A new approach for water demand forecasting based on empirical mode decomposition

2014 8th. Malaysian Software Engineering Conference (MySEC), 2014, p.284-288

2014

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A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting

Graph-based extractive text summarization method for Hausa text

Crude Oil Price Forecasting Based on Hybridizing Wavelet Multiple Linear Regression Model, Particle Swarm Optimization Techniques, and Principal Component Analysis

Daily Crude Oil Price Forecasting Using Hybridizing Wavelet and Artificial Neural Network Model

Combining Deep Neural Network and Fourier Series for Tourist Arrivals Forecasting

The Group Method of Data Handling （GMDH） and Artificial Neural Networks （ANN）in Time-Series Forecasting of Rice Yield

Fishery Landing Forecasting Using Wavelet-Based Autoregressive Integrated Moving Average Models

Pre-processing Streamflow Data through Singular Spectrum Analysis with Fuzzy C-Means Clustering

Monthly streamflow forecasting with auto-regressive integrated moving average

A hybrid GMDH and Box-Jenkins models in time series forecasting

Combined group method of data handling models using artificial bee colony algorithm in time series forecasting

Handling non-stationary flood frequency analysis using TL-moments approach for estimation parameter

A Genetic Algorithm-Based Grey Model Combined with Fourier Series for Forecasting Tourism Arrivals in Langkawi Island Malaysia

Use of Empirical Mode Decomposition in Improving Neural Network Forecasting of Paddy Price

Graph-Based Extractive Text Summarization Models: A Systematic Review

Forecasting Crude Oil Prices using Discrete Wavelet Transform with Autoregressive Integrated Moving Average and Least Square Support Vector Machine Combination Approach

Drought Forecasting Using Gaussian Process Regression (GPR) and Empirical Wavelet Transform (EWT)-GPR in Gua Musang

COMPARISON BETWEEN MEMD-LSSVM AND MEMDARIMA IN FORECASTING EXCHANGE RATE

Streamflow estimation at ungauged site using wavelet group method of data handling in peninsular Malaysia

AI for Heart Rate Measurements for Sport Performance: A review

Intelligent Learning Model Based On Significant Weight Of Domain Knowledge Concept For Adaptive E-Learning

Application of Improved GM(1,1) Models in Seasonal Monthly Tourism Demand Forecast

A HYBRID GMDH AND LEAST SQUARES SUPPORT VECTOR MACHINES IN TIME SERIES FORECASTING

The Influence of Sentiments in Digital Currency Prediction Using Hybrid Sentiment-based Support Vector Machine with Whale Optimization Algorithm (SVMWOA)

A new approach for water demand forecasting based on empirical mode decomposition

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