A Novel End-To-End Learning Framework Based on Optimised Residual Gated Units and Stacked Pre-Trained Layers for Detection of Autism Spectrum Disorders (ASD) - Figure 2. Spectrogram Images - (a) (b) Non-Autistic Subjects
Fuente:
Zenodo
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Recurso digital |
| Published: |
Zenodo
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866902316152520704 |
|---|---|
| author | Parameswaran Sarvalingam Ashok Vajravelu Janani Selvam Asmarashid Bin Ponniran Wan Suhaimizan Bin Wan Zaki Kathambari P |
| author_facet | Parameswaran Sarvalingam Ashok Vajravelu Janani Selvam Asmarashid Bin Ponniran Wan Suhaimizan Bin Wan Zaki Kathambari P |
| contents | <p>Algorithm 1 provides the proposed EEG pre-processing. Figure 2 shows the spectrogram images.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14958944 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A Novel End-To-End Learning Framework Based on Optimised Residual Gated Units and Stacked Pre-Trained Layers for Detection of Autism Spectrum Disorders (ASD) - Figure 2. Spectrogram Images - (a) (b) Non-Autistic Subjects Parameswaran Sarvalingam Ashok Vajravelu Janani Selvam Asmarashid Bin Ponniran Wan Suhaimizan Bin Wan Zaki Kathambari P autism spectrum disorder electroencephalogram residual gated units optimised classification networks chaotic cat swarm <p>Algorithm 1 provides the proposed EEG pre-processing. Figure 2 shows the spectrogram images.</p> |
| title | A Novel End-To-End Learning Framework Based on Optimised Residual Gated Units and Stacked Pre-Trained Layers for Detection of Autism Spectrum Disorders (ASD) - Figure 2. Spectrogram Images - (a) (b) Non-Autistic Subjects |
| topic | autism spectrum disorder electroencephalogram residual gated units optimised classification networks chaotic cat swarm |
| url | https://doi.org/10.5281/zenodo.14958944 |