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06/14/2022
A novel MDPSO-SVR hybrid model for feature selection in electricity consumption forecasting
Electricity consumption forecasting has vital importance for the energy ...
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10/28/2021
Multivariate Empirical Mode Decomposition based Hybrid Model for Day-ahead Peak Load Forecasting
Accurate day-ahead peak load forecasting is crucial not only for power d...
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10/27/2021
Comprehensive learning particle swarm optimization enabled modeling framework for multi-step-ahead influenza prediction
Epidemics of influenza are major public health concerns. Since influenza...
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02/03/2020
Error-feedback Stochastic Configuration Strategy on Convolutional Neural Networks for Time Series Forecasting
Despite the superiority of convolutional neural networks demonstrated in...
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03/21/2019
What obstruct customer acceptance of internet banking? Security and privacy, risk, trust and website usability and the role of moderators
Comparatively a little attention has been paid to the factors that obstr...
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03/21/2019
Mediating role of managing information technology and its impact on firm performance: insight from China
Purpose: Managing IT with firm performance has always been a debatable t...
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03/03/2019
Investigating factors affecting learners perception toward online learning evidence from ClassStart application in Thailand
Twenty-First Century Education is a design of instructional culture that...
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02/23/2019
Identifying Malicious Web Domains Using Machine Learning Techniques with Online Credibility and Performance Data
Malicious web domains represent a big threat to web users' privacy and s...
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10/19/2018
Malicious Web Domain Identification using Online Credibility and Performance Data by Considering the Class Imbalance Issue
Purpose: Malicious web domain identification is of significant importanc...
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01/11/2014
Multi-Step-Ahead Time Series Prediction using Multiple-Output Support Vector Regression
Accurate time series prediction over long future horizons is challenging...
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01/11/2014
Does Restraining End Effect Matter in EMD-Based Modeling Framework for Time Series Prediction? Some Experimental Evidences
Following the "decomposition-and-ensemble" principle, the empirical mode...
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01/09/2014
A PSO and Pattern Search based Memetic Algorithm for SVMs Parameters Optimization
Addressing the issue of SVMs parameters optimization, this study propose...
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01/08/2014
Beyond One-Step-Ahead Forecasting: Evaluation of Alternative Multi-Step-Ahead Forecasting Models for Crude Oil Prices
An accurate prediction of crude oil prices over long future horizons is ...
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12/31/2013