Elene F. Ohata
Orcid: 0000-0001-8386-2455
According to our database1,
Elene F. Ohata
authored at least 14 papers
between 2020 and 2024.
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Timeline
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2024
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Bibliography
2024
Estimating anthropometric measurements through 2D images using machine learning with gender-based analysis.
Proceedings of the International Joint Conference on Neural Networks, 2024
A New Approach for Eye Diagram Analysis Using Deep Transfer Learning for Identification and Intensity Classification of Rainfall Effect on Signals Transmitted via Free-Space Optical Communication.
Proceedings of the International Joint Conference on Neural Networks, 2024
Estimation of Bone Mineral Density using Machine Learning and SHapley Additive exPlanations.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024
2022
Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Access, 2022
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
A novel transfer learning approach for the classification of histological images of colorectal cancer.
J. Supercomput., 2021
Automatic detection of COVID-19 infection using chest X-ray images through transfer learning.
IEEE CAA J. Autom. Sinica, 2021
Gender-based approach to estimate the human body fat percentage using Machine Learning.
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.
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.
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.
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.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
Proceedings of the Intelligent Systems - 9th Brazilian Conference, 2020