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Omid Orang
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2020 – today
- 2024
- [j4]Omid Orang, Hugo Vinicius Bitencourt, Luiz Augusto Facury de Souza, Patrícia de Oliveira e Lucas, Petrônio C. L. Silva, Frederico Gadelha Guimarães:
Multiple-Input-Multiple-Output Randomized Fuzzy Cognitive Map Method for High-Dimensional Time Series Forecasting. IEEE Trans. Fuzzy Syst. 32(6): 3703-3715 (2024) - [c2]Omid Orang, Fabricio Javier Erazo-Costa, Petrônio C. L. Silva, Guilherme de Alencar Barreto, Frederico Gadelha Guimarães:
A Large Reservoir Computing Forecasting Method Based on Randomized Fuzzy Cognitive Maps. EAIS 2024: 1-8 - 2023
- [j3]Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães:
Time series forecasting using fuzzy cognitive maps: a survey. Artif. Intell. Rev. 56(8): 7733-7794 (2023) - [j2]Hugo Vinicius Bitencourt, Omid Orang, Luiz Augusto Facury de Souza, Petrônio C. L. Silva, Frederico Gadelha Guimarães:
An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications. Neural Comput. Appl. 35(13): 9407-9420 (2023) - 2022
- [j1]Omid Orang, Petrônio Cândido de Lima e Silva, Rodrigo César Pedrosa Silva, Frederico Gadelha Guimarães:
Randomized high order fuzzy cognitive maps as reservoir computing models: A first introduction and applications. Neurocomputing 512: 153-177 (2022) - [i2]Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães:
Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting. CoRR abs/2201.02158 (2022) - [i1]Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães:
Time Series Forecasting Using Fuzzy Cognitive Maps: A Survey. CoRR abs/2201.02297 (2022) - 2020
- [c1]Omid Orang, Rodrigo César Pedrosa Silva, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães:
Solar Energy Forecasting With Fuzzy Time Series Using High-Order Fuzzy Cognitive Maps. FUZZ-IEEE 2020: 1-8
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