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Physical Sciences and Mathematics Commons™
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Articles 1 - 8 of 8
Full-Text Articles in Physical Sciences and Mathematics
Journal Acknowledgments And Editorial Board, Academy Editors
Journal Acknowledgments And Editorial Board, Academy Editors
Journal of the Arkansas Academy of Science
No abstract provided.
Journal Of The Arkansas Academy Of Science- Volume 72 2018, Academy Editors
Journal Of The Arkansas Academy Of Science- Volume 72 2018, Academy Editors
Journal of the Arkansas Academy of Science
No abstract provided.
Business Meeting Report (Secretary's And Treasurer's Report), Academy Editors
Business Meeting Report (Secretary's And Treasurer's Report), Academy Editors
Journal of the Arkansas Academy of Science
No abstract provided.
Keynote Address And Meeting Program Report, Academy Editors
Keynote Address And Meeting Program Report, Academy Editors
Journal of the Arkansas Academy of Science
No abstract provided.
Instructions To Authors For The Journal Of The Arkansas Academy Of Science, Academy Editors
Instructions To Authors For The Journal Of The Arkansas Academy Of Science, Academy Editors
Journal of the Arkansas Academy of Science
No abstract provided.
Academy Presidents And Institutional Members, Academy Editors
Academy Presidents And Institutional Members, Academy Editors
Journal of the Arkansas Academy of Science
No abstract provided.
Table Of Contents, Academy Editors
Table Of Contents, Academy Editors
Journal of the Arkansas Academy of Science
No abstract provided.
Deep Learning-Based Framework For Autism Functional Mri Image Classification, Xin Yang, Saman Sarraf, Ning Zhang
Deep Learning-Based Framework For Autism Functional Mri Image Classification, Xin Yang, Saman Sarraf, Ning Zhang
Journal of the Arkansas Academy of Science
The purpose of this paper is to introduce deep learning-based framework LeNet-5 architecture and implement the experiments for functional MRI image classification of Autism spectrum disorder. We implement our experiments under the NVIDIA deep learning GPU Training Systems (DIGITS). By using the Convolutional Neural Network (CNN) LeNet-5 architecture, we successfully classified functional MRI image of Autism spectrum disorder from normal controls. The results show that we obtained satisfactory results for both sensitivity and specificity.