Omid Orang

According to our database, Omid Orang authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Leveraging Large Language Models for time series forecasting: A systematic literature review.

Gabriel I. F. Paiva, Arthur Caio Vargas Pinto, Marcos Antonio Alves, Omid Orang, Lucas Malacarne Astore, Marcus Vinicius Moraes Oliveira, Frederico Gadelha Guimarães

Knowl. Based Syst., 2026

2025

Automated forecasting model leveraging large reservoirs of randomized fuzzy cognitive maps.

Omid Orang, Fabricio Javier Erazo-Costa, Petrônio C. L. Silva, Guilherme de Alencar Barreto, Frederico Gadelha Guimarães

Evol. Syst., December, 2025

Causal Graph Fuzzy LLMs: A First Introduction and Applications in Time Series Forecasting.

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

CoRR, July, 2025

A Multistep Multivariate Fuzzy-Based Time-Series Forecasting on Internet of Things Data.

Hugo Vinicius Bitencourt, Patrícia de Oliveira e Lucas, Omid Orang, Petrônio C. L. Silva, Frederico Gadelha Guimarães

IEEE Internet Things J., June, 2025

Time Series Classification Using Federated Convolutional Neural Networks and Image-Based Representations.

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

IEEE Access, 2025

Driver Maneuver Classification Based on Multivariate Fuzzy Time Series.

Petrônio C. L. Silva, Omid Orang, Felipe Augusto Rocha da Silva, Pedro H. S. S. Barros, Heitor S. Ramos, Frederico Gadelha Guimarães

Proceedings of the IEEE International Conference on Fuzzy Systems, 2025

A New Data-Driven Interval Type-2 Fuzzy Forecasting Approach for Load Forecasting.

Arthur Caio Vargas Pinto, Omid Orang, Frederico Gadelha Guimarães, Eduardo Pestana de Aguiar

Proceedings of the IEEE International Conference on Fuzzy Systems, 2025

Enhanced Forecasting Model Using Transformers, Extended Long-Short-Term Memory, and Randomized Fuzzy Cognitive Maps.

Omid Orang, Petrônio C. L. Silva, Frederico G. Guimarães

Proceedings of the Intelligent Systems - 35th Brazilian Conference, 2025

2024

Multiple-Input-Multiple-Output Randomized Fuzzy Cognitive Map Method for High-Dimensional Time Series Forecasting.

Omid Orang, Hugo Vinicius Bitencourt, Luiz Augusto Facury de Souza, Patrícia de Oliveira e Lucas, Petrônio C. L. Silva, Frederico Gadelha Guimarães

IEEE Trans. Fuzzy Syst., June, 2024

A weighted multivariate fuzzy time series method for multiple output high-dimensional time series forecasting in IoT applications.

Hugo Vinicius Bitencourt, Patrícia de Oliveira e Lucas, Omid Orang, Petrônio C. L. Silva, Frederico Gadelha Guimarães

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2024

A Large Reservoir Computing Forecasting Method Based on Randomized Fuzzy Cognitive Maps.

Omid Orang, Fabricio Javier Erazo-Costa, Petrônio C. L. Silva, Guilherme de Alencar Barreto, Frederico Gadelha Guimarães

Proceedings of the IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2024

Traffic Forecasting Using Federated Randomized High-Order Fuzzy Cognitive Maps.

Omid Orang, Felipe A. R. da Silva, Petrônio C. L. Silva, Pedro H. S. S. Barros, Heitor S. Ramos, Frederico G. Guimarães

Proceedings of the Intelligent Systems - 34th Brazilian Conference, 2024

2023

An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications.

Hugo Vinicius Bitencourt, Omid Orang, Luiz Augusto Facury de Souza, Petrônio C. L. Silva, Frederico Gadelha Guimarães

Neural Comput. Appl., May, 2023

Time series forecasting using fuzzy cognitive maps: a survey.

Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães

Artif. Intell. Rev., 2023

2022

Randomized high order fuzzy cognitive maps as reservoir computing models: A first introduction and applications.

Omid Orang, Petrônio Cândido de Lima e Silva, Rodrigo Silva, Frederico Gadelha Guimarães

Neurocomputing, 2022

Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting.

Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães

CoRR, 2022

2020

Solar Energy Forecasting With Fuzzy Time Series Using High-Order Fuzzy Cognitive Maps.

Omid Orang, Rodrigo Silva, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020