Elene F. Ohata

According to our database, Elene F. Ohata authored at least 11 papers between 2020 and 2022.

Collaborative distances:

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

2022

Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches.

Pedro Henrique Feijo de Sousa, Jefferson Silva Almeida, Elene Firmeza Ohata, Fabricio Gonzalez Nogueira, Bismark Claure Torrico, Victor Hugo C. de Albuquerque, Mohammad Mehedi Hassan, Neeraj Kumar, Md. Rafiul Hassan, Pedro Pedrosa Rebouças Filho

IEEE Trans. Intell. Transp. Syst., 2022

A Text Classification Methodology to Assist a Large Technical Support System.

Elene Firmeza Ohata, César Lincoln Cavalcante Mattos, Samuel Luz Gomes, Elizângela de S. Rebouças, Paulo Antonio Leal Rego

IEEE Access, 2022

Estimating Bone Mineral Density Based on Age, Sex, and Anthropometric Measurements.

Gabriel Maia Bezerra, Elene Firmeza Ohata, Pedro Yuri Rodrigues Nunes, Levy dos Santos Silveira, Luiz Lannes Loureiro, Victor Zaban Bittencourt, Valden Luis Matos Capistrano, Pedro Pedrosa Rebouças Filho

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

A novel transfer learning approach for the classification of histological images of colorectal cancer.

Elene Firmeza Ohata, João Victor Souza das Chagas, Gabriel Maia Bezerra, Mohammad Mehedi Hassan, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho

J. Supercomput., 2021

Automatic detection of COVID-19 infection using chest X-ray images through transfer learning.

Elene Firmeza Ohata, Gabriel Maia Bezerra, João Victor Souza das Chagas, Aloisio Vieira Lira Neto, Adriano Bessa Albuquerque, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho

IEEE CAA J. Autom. Sinica, 2021

Gender-based approach to estimate the human body fat percentage using Machine Learning.

Shara S. A. Alves, Elene F. Ohata, Navar Medeiros M. e Nascimento, João W. M. de Souza, Gabriel Bandeira Holanda, Luiz Lannes Loureiro, Pedro Pedrosa Rebouças Filho

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Intelligent Industrial IoT system for detection of short-circuit failure in windings of wind turbines.

Marcos A. Araujo Ferreira, Luís Fabrício de F. Souza, Francisco Hércules dos S. Silva, Elene Firmeza Ohata, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

An Innovative Approach of Textile Fabrics Identification from Mobile Images using Computer Vision based on Deep Transfer Learning.

Antônio Carlos da Silva Barros, Elene F. Ohata, Suane Pires P. da Silva, Jefferson Silva Almeida, Pedro Pedrosa Rebouças Filho

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Classification of Electroencephalogram Signals for Detecting Predisposition to Alcoholism using Computer Vision and Transfer Learning.

Francisco H. S. Silva, Aldísio Gonçalves Medeiros, Elene F. Ohata, Pedro Pedrosa Rebouças Filho

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

An Approach to BI-RADS Uncertainty Levels Classification Via Deep Learning with Transfer Learning Technique.

Aldísio Gonçalves Medeiros, Elene F. Ohata, Francisco H. S. Silva, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

A Robust Automatic License Plate Recognition System for Embedded Devices.

Lucas S. Fernandes, Francisco H. S. Silva, Elene F. Ohata, Aldísio Gonçalves Medeiros, Aloisio Vieira Lira Neto, Yuri Lenon Barbosa Nogueira, Paulo A. L. Rego, Pedro Pedrosa Rebouças Filho

Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020