Author

Syifa Anzella

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Open access Sep 2026

Improved Autism Spectrum Disorder Detection Using Euclidean-Distance Facial Landmark Features to Enhance Classification Accuracy and Stability with Cross-Validation

Findings indicate that geometric feature extraction based on facial landmark distances is effective for ASD detection and has strong potential to be developed as an objective, interpretable, and efficient early screening tool using children’s facial images.

Y. Nurdin, Syifa Anzella, Melinda Melinda et al. · Jurnal Teknokes · 0 citations