Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Hossein Javedani Sadaei"'
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
After reviewing the vast body of literature on using FTS in stock market forecasting, certain deficiencies are distinguished in the hybridization of findings. In addition, the lack of constructive systematic framework, which can be helpful to indicat
Externí odkaz:
https://doaj.org/article/a8876b39ccc644b1b9bd2c2f3ae8273f
Autor:
Petronio Candido de Lima e Silva, Rosangela Ballini, Frederico Gadelha Guimarães, Hossein Javedani Sadaei
Publikováno v:
IEEE Transactions on Fuzzy Systems. 28:1771-1784
In recent years, the demand for developing low computational cost methods to deal with uncertainties in forecasting has been increased. Probabilistic forecasting is a class of forecasting in which the method provides intervals or probability distribu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f221e8dbc0778d0f96a89890a383346
https://doi.org/10.1109/tfuzz.2019.2922152
https://doi.org/10.1109/tfuzz.2019.2922152
Autor:
Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães, Hossein Javedani Sadaei, Muhammad Hisyam Lee
Publikováno v:
Energy. 175:365-377
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). Accordingly, in the proposed method, multivariate time series data which include hourly load dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14eeb7a6a0b9c7c2a6d1af9b0ca9fe52
https://doi.org/10.1016/j.energy.2019.03.081
https://doi.org/10.1016/j.energy.2019.03.081
Autor:
Petronio Candido de Lima e Silva, Breno Costa Dolabela Dias, Frederico Gadelha Guimarães, Hossein Javedani Sadaei
Publikováno v:
2021 IEEE World AI IoT Congress (AIIoT).
Sentiment analysis is an automatic technique to extract subjective information from texts, such as opinions and sentiments. For providing a time series forecasting using sentiment analysis, sentiment classifications of news and social media posts hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b985f981f7cb37b45d05080dc15e5f4
https://doi.org/10.1109/aiiot52608.2021.9454179
https://doi.org/10.1109/aiiot52608.2021.9454179
Autor:
Muhammad Hisyam Lee, Cidiney J. Silva, Hossein Javedani Sadaei, Tayyebeh Eslami, Frederico Gadelha Guimares
Publikováno v:
International Journal of Approximate Reasoning. 83:196-217
Seasonal Auto Regressive Fractionally Integrated Moving Average (SARFIMA) is a well-known model for forecasting of seasonal time series that follow a long memory process. However, to better boost the accuracy of forecasts inside such data for nonline
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6726a128a18f4cd3c54c5a7e63c3fc19
https://doi.org/10.1016/j.ijar.2017.01.006
https://doi.org/10.1016/j.ijar.2017.01.006
Autor:
Frederico Gadelha Guimarães, Hossein Javedani Sadaei, Jean-Yves Potvin, Rasul Enayatifar, Fernando Bernardes de Oliveira
Publikováno v:
Expert Systems with Applications. 54:398-402
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39f8e141de8f2e34f00281c974a3087d
https://doi.org/10.1016/j.eswa.2016.02.037
https://doi.org/10.1016/j.eswa.2016.02.037
Publikováno v:
Applied Soft Computing. 40:132-149
Graphical abstractDisplay Omitted HighlightsA differential fuzzy time series model is defined for forecast inside trend data.The differential fuzzy logical relationships and groups are established.The actual value at former state is added to the aver
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1809e440e124675aa840f366e5fd7cfa
https://doi.org/10.1016/j.asoc.2015.11.026
https://doi.org/10.1016/j.asoc.2015.11.026
Autor:
Frederico Gadelha Guimarães, Fatemeh Mirzaei Talarposhti, Hossein Javedani Sadaei, Rasul Enayatifar, Tayyebeh Eslami, Maqsood Mahmud
Publikováno v:
International Journal of Approximate Reasoning. 70:79-98
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 forecasting. For doing so, a two-phase approach is introduced. In the first phase, the optima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31a9bcbb963628f6f6e5729985a7eb75
https://doi.org/10.1016/j.ijar.2015.12.011
https://doi.org/10.1016/j.ijar.2015.12.011
Autor:
Rasul Enayatifar, Maqsood Mahmud, Hossein Javedani Sadaei, Zakarya A. Alzamil, Frederico Gadelha Guimarães
Publikováno v:
Neurocomputing. 175:782-796
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 of the series. Therefore, in this class of series, there is a slow decay of the autocorrela
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b331892d6c3761ae5c291a32bbbf3326
https://doi.org/10.1016/j.neucom.2015.10.079
https://doi.org/10.1016/j.neucom.2015.10.079
Autor:
Rasul Enayatifar, Abdul Hanan Abdullah, Hossein Javedani Sadaei, Ismail Fauzi Isnin, Malrey Lee
Publikováno v:
Optics and Lasers in Engineering. 71:33-41
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 internet. This work aims to propose a new approach based on a hybrid model of the Tinkerbell chao
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49ab111b98b0041c9d6a6a65f29cc485
https://doi.org/10.1016/j.optlaseng.2015.03.007
https://doi.org/10.1016/j.optlaseng.2015.03.007