Search Results - "Sadaei, Hossein Javedani"

Multilayer Stock Forecasting Model Using Fuzzy Time Series by Javedani Sadaei, Hossein, Lee, Muhammad Hisyam

“…After reviewing the vast body of literature on using FTS in stock market forecasting, certain deficiencies are distinguished in the hybridization of findings…”
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Short-term load forecasting using a hybrid model with a refined exponentially weighted fuzzy time series and an improved harmony search by Sadaei, Hossein Javedani, Enayatifar, Rasul, Abdullah, Abdul Hanan, Gani, Abdullah

“…•A three Phases hybrid method was introduced for Short Term Load Forecasting.•The first Phase discusses the primitives for initialization and inputting.•The…”
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Combining ARFIMA models and fuzzy time series for the forecast of long memory time series by Javedani Sadaei, Hossein, Enayatifar, Rasul, Guimarães, Frederico Gadelha, Mahmud, Maqsood, Alzamil, Zakarya A.

“…Long memory time series are stationary processes in which there is a statistical long range dependency between the current value and values in different times…”
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Stock market forecasting by using a hybrid model of exponential fuzzy time series by Mirzaei Talarposhti, Fatemeh, Javedani Sadaei, Hossein, Enayatifar, Rasul, Gadelha Guimarães, Frederico, Mahmud, Maqsood, Eslami, Tayyebeh

“…The initial aim of this study is to propose a hybrid method based on exponential fuzzy time series and learning automata based optimization for stock market…”
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Imperialist competitive algorithm combined with refined high-order weighted fuzzy time series (RHWFTS–ICA) for short term load forecasting by Enayatifar, Rasul, Sadaei, Hossein Javedani, Abdullah, Abdul Hanan, Gani, Abdullah

“…•Proposed a hybrid algorithm based on a RHWFTS and an ICA.•RHWFTS–ICA is proposed to perform efficiently under short-term load forecasting.•Finding the best…”
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A hybrid SARFIMA-FTS model for time series prediction in smart grids by Silva, Cidiney, Gadelha Guimaraes, Frederico, Javedani Sadaei, Hossein, Coelho, Vitor Nazario

“…The intensive use of electricity in life and modern society implies increasing demand and the need for increasingly high reliability. Smart Grids (SG) are the…”
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Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series by Sadaei, Hossein Javedani, de Lima e Silva, Petrônio Cândido, Guimarães, Frederico Gadelha, Lee, Muhammad Hisyam

“…We propose a combined method that is based on the fuzzy time series (FTS) and convolutional neural networks (CNN) for short-term load forecasting (STLF)…”
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Probabilistic Forecasting With Fuzzy Time Series by de Lima Silva, Petronio Candido, Sadaei, Hossein Javedani, Ballini, Rosangela, Guimaraes, Frederico Gadelha

“…In recent years, the demand for developing low computational cost methods to deal with uncertainties in forecasting has been increased. Probabilistic…”
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A novel chaotic based image encryption using a hybrid model of deoxyribonucleic acid and cellular automata by Enayatifar, Rasul, Sadaei, Hossein Javedani, Abdullah, Abdul Hanan, Lee, Malrey, Isnin, Ismail Fauzi

“…Currently, there are many studies have conducted on developing security of the digital image in order to protect such data while they are sending on the…”
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Short-term load forecasting method based on fuzzy time series, seasonality and long memory process by Sadaei, Hossein Javedani, Guimarães, Frederico Gadelha, José da Silva, Cidiney, Lee, Muhammad Hisyam, Eslami, Tayyebeh

“…Seasonal Auto Regressive Fractionally Integrated Moving Average (SARFIMA) is a well-known model for forecasting of seasonal time series that follow a long…”
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A cooperative coevolutionary algorithm for the Multi-Depot Vehicle Routing Problem by de Oliveira, Fernando Bernardes, Enayatifar, Rasul, Sadaei, Hossein Javedani, Guimarães, Frederico Gadelha, Potvin, Jean-Yves

“…•We introduce a cooperative coevolutionary algorithm for the Multi-Depot VRP.•We propose an ES with variable length genotype coupled with local search…”
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A hybrid model based on differential fuzzy logic relationships and imperialist competitive algorithm for stock market forecasting by Sadaei, Hossein Javedani, Enayatifar, Rasul, Lee, Muhammad Hisyam, Mahmud, Maqsood

“…[Display omitted] •A differential fuzzy time series model is defined for forecast inside trend data.•The differential fuzzy logical relationships and groups…”
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Erratum to “A cooperative coevolutionary algorithm for the Multi-Depot Vehicle Routing Problem [Expert Systems with Applications 43 (2015) 117–130]” by Bernardes de Oliveira, Fernando, Enayatifar, Rasul, Sadaei, Hossein Javedani, Guimarães, Frederico Gadelha, Potvin, Jean-Yves

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Distributed Evolutionary Hyperparameter Optimization for Fuzzy Time Series by Silva, Petronio C. L., de Oliveira e Lucas, Patricia, Sadaei, Hossein Javedani, Guimaraes, Frederico Gadelha

“…Time series forecasting is an essential task in the management of Smart Cities and Smart Grids, becoming even more challenging when it needs to deal with big…”
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Artificial Intelligence for Risk Assessment on Primary Prevention of Coronary Artery Disease by Chen, Shang-Fu, Loguercio, Salvatore, Chen, Kai-Yu, Lee, Sang Eun, Park, Jun-Bean, Liu, Shuchen, Sadaei, Hossein Javedani, Torkamani, Ali

“…Purpose of Review Coronary artery disease (CAD) is a common and etiologically complex disease worldwide. Current guidelines for primary prevention, or the…”
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Very short-term solar forecasting using fuzzy time series by Severiano, Carlos A., Silva, Petronio C. L., Sadaei, Hossein Javedani, Guimaraes, Frederico Gadelha

“…Solar Photovoltaics is a source of energy very sensitive to climate variations. Therefore, it is very important to apply a forecasting method to a PV system…”
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Aggregation of Sentiment Analysis Index with Hesitant Fuzzy Sets for Financial Time Series Forecasting by Dolabela Dias, Breno Costa, Sadaei, Hossein Javedani, De Lima e Silva, Petronio Candido, Guimaraes, Frederico Gadelha

“…Sentiment analysis is an automatic technique to extract subjective information from texts, such as opinions and sentiments. For providing a time series…”
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Interval forecasting with Fuzzy Time Series by Silva, Petronio C. L., Sadaei, Hossein Javedani, Guimaraes, Frederico Gadelha

“…In recent years, the demand for developing low computational cost methods to deal with uncertainty in forecasting has been increased. Interval forecasting is a…”
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