Publication2025
Early Intervention in Autism Spectrum Disorder: Hybridizing Convolutional Neural Networks with Ensemble Methods for Enhanced Detection Using Facial Imagery
- Good Health and Well-being
- Industry, Innovation and Infrastructure
- Empowered Indians
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- Proceedings of 2025 3rd International Conference on Intelligent Systems Advanced Computing and Communication Isacc 2025
- Pages
- 781-786
- Published
- 1 January 2025
- DOI
- 10.1109/isacc65211.2025.10969308
- Scopus ID
- 105005183715
- Authors
- 3
- Open access
- No
- Citations
- 6
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3 Ensure healthy lives and promote well-being for all at all ages
Research develops convolutional neural network and ensemble machine learning system for objective Autism Spectrum Disorder detection from facial imagery with 97.35% accuracy, enabling early clinical intervention.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Study advances deep learning architectures integrating EfficientNet, MobileNet, Random Forest, and XGBoost for medical image classification and disease detection.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1 Empowered Indians
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. Research develops convolutional neural network and ensemble machine learning system for objective Autism Spectrum Disorder detection from facial imagery with 97.35% accuracy, enabling early clinical intervention.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Early Intervention in Autism Spectrum Disorder: Hybridizing Convolutional Neural Networks with Ensemble Methods for Enhanced Detection Using Facial Imagery”. Kortex.