Face autistic classification based on thermal using image ensemble learning of VGG-19, ResNet50v2, and EfficientNet
The subject of this paper is the detection of Autism Spectrum Disorder (ASD) traits using facial recognition based on thermal images. The goal of this study was to evaluate and compare the performance of various Convolutional Neural Network (CNN) architectures in classifying thermal facial images of...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
National Aerospace University «Kharkiv Aviation Institute»
2025-02-01
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| Серии: | Радіоелектронні і комп'ютерні системи |
| Предметы: | |
| Online-ссылка: | http://nti.khai.edu/ojs/index.php/reks/article/view/2782 |
| Метки: |
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