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The linear-nonlinear data preprocessing based hybrid (LNDH) models for wind power forecasting
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Analysis of effective factors on gas leakage of polyethylene pipes for the intelligent forecasting of leakage degree
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A novel reliability based regression model to analyze and forecast the severity of COVID?19 patients
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A novel reliability-based regression model to analyze and forecast the severity of COVID-19 patients
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Hybridization of hybrid structures for time series forecasting: a review
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Determination of the Safety Stock for Intermittent Demand: the Grey and Hybrid Theories
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A binary integer programming (BIP) model for optimal financial turning points detection
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Series Hybridization of Parallel (SHOP) models for time series forecasting
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A novel class of reliability-based parallel hybridization (RPH) models for time series forecasting
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A fuzzy series-parallel preprocessing (FSPP) based hybrid model for wind forecasting
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A Novel Parallel Hybrid Model Based on Series Hybrid Models of ARIMA and ANN Models
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A novel reliability-based regression model for medical modeling and forecasting
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Etemadi Fuzzy Auto-Regressive Integrated Moving Average models for uncertain modeling and forecasting
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Generalized support vector machines (GSVMs) model for real-world time series forecasting
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Etemadi multiple linear regression
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A Kalman filter-based hybridization model of statistical and intelligent approaches for exchange rate forecasting
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Improving the Performance of Forecasting Models with Classical Statistical and Intelligent Models in Industrial Productions
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A parallel-series hybridization of seasonal intelligent based statistical model for demand forecasting
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A comprehensive low-risk and cost parallel hybrid method for electricity load forecasting
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Improving intermittent demand forecasting based on data structure
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