Omid Orang

17 papers B 1Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Multistep Multivariate Fuzzy-Based Time-Series Forecasting on Internet of Things Data.
IEEE Internet Things J.
Hugo Vinicius Bitencourt, Patrícia de Oliveira e Lucas, Omid Orang, Petrônio C. L. Silva, Frederico Gadelha Guimarães
2025 — conf
A New Data-Driven Interval Type-2 Fuzzy Forecasting Approach for Load Forecasting.
FUZZ
Arthur Caio Vargas Pinto, Omid Orang, Frederico Gadelha Guimarães, Eduardo Pestana de Aguiar
2025 J jnl
Automated forecasting model leveraging large reservoirs of randomized fuzzy cognitive maps.
Evol. Syst.
Omid Orang, Fabricio Javier Erazo-Costa, Petrônio C. L. Silva, Guilherme de Alencar Barreto, Frederico Gadelha Guimarães
2025 J jnl
Causal Graph Fuzzy LLMs: A First Introduction and Applications in Time Series Forecasting.
CoRR
Omid Orang, Patrícia de Oliveira e Lucas, Gabriel I. F. Paiva, Petrônio C. L. Silva, Felipe Augusto Rocha da Silva, Adriano Alonso Veloso, Frederico Gadelha Guimarães
2025 — conf
Driver Maneuver Classification Based on Multivariate Fuzzy Time Series.
FUZZ
Petrônio C. L. Silva, Omid Orang, Felipe Augusto Rocha da Silva, Pedro H. S. S. Barros, Heitor S. Ramos, Frederico Gadelha Guimarães
2025 — conf
Enhanced Forecasting Model Using Transformers, Extended Long-Short-Term Memory, and Randomized Fuzzy Cognitive Maps.
BRACIS (1)
Omid Orang, Petrônio C. L. Silva, Frederico G. Guimarães
2025 J jnl
Time Series Classification Using Federated Convolutional Neural Networks and Image-Based Representations.
IEEE Access
Felipe A. R. da Silva, Omid Orang, Fabricio Javier Erazo-Costa, Petrônio C. L. Silva, Pedro H. S. S. Barros, Ricardo Poley Martins Ferreira, Frederico Gadelha Guimarães
2024 — conf
A Large Reservoir Computing Forecasting Method Based on Randomized Fuzzy Cognitive Maps.
EAIS
Omid Orang, Fabricio Javier Erazo-Costa, Petrônio C. L. Silva, Guilherme de Alencar Barreto, Frederico Gadelha Guimarães
2024 — conf
A weighted multivariate fuzzy time series method for multiple output high-dimensional time series forecasting in IoT applications.
LA-CCI
Hugo Vinicius Bitencourt, Patrícia de Oliveira e Lucas, Omid Orang, Petrônio C. L. Silva, Frederico Gadelha Guimarães
2024 J jnl
Multiple-Input-Multiple-Output Randomized Fuzzy Cognitive Map Method for High-Dimensional Time Series Forecasting.
IEEE Trans. Fuzzy Syst.
Omid Orang, Hugo Vinicius Bitencourt, Luiz Augusto Facury de Souza, Patrícia de Oliveira e Lucas, Petrônio C. L. Silva, Frederico Gadelha Guimarães
2024 — conf
Traffic Forecasting Using Federated Randomized High-Order Fuzzy Cognitive Maps.
BRACIS (2)
Omid Orang, Felipe A. R. da Silva, Petrônio C. L. Silva, Pedro H. S. S. Barros, Heitor S. Ramos, Frederico G. Guimarães
2023 J jnl
An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications.
Neural Comput. Appl.
Hugo Vinicius Bitencourt, Omid Orang, Luiz Augusto Facury de Souza, Petrônio C. L. Silva, Frederico Gadelha Guimarães
2023 J jnl
Time series forecasting using fuzzy cognitive maps: a survey.
Artif. Intell. Rev.
Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães
2022 J jnl
Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting.
CoRR
Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães
2022 J jnl
Randomized high order fuzzy cognitive maps as reservoir computing models: A first introduction and applications.
Neurocomputing
Omid Orang, Petrônio Cândido de Lima e Silva, Rodrigo Silva, Frederico Gadelha Guimarães
2022 J jnl
Time Series Forecasting Using Fuzzy Cognitive Maps: A Survey.
CoRR
Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães
2020 B conf
Solar Energy Forecasting With Fuzzy Time Series Using High-Order Fuzzy Cognitive Maps.
FUZZ-IEEE
Omid Orang, Rodrigo Silva, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães