[HTML][HTML] Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review
Abstract Background Human Emotion Recognition (HER) has been a popular field of study
in the past years. Despite the great progresses made so far, relatively little attention has …
in the past years. Despite the great progresses made so far, relatively little attention has …
A study of coding learning amongst children: Motivation and learning performance
HF Hanafi, WA Mustafa, MN Idris… - … Technology and its …, 2023 - ieeexplore.ieee.org
Computer programming and coding now face several obstacles in aiding students to
improve their grasp of programming and coding. Furthermore, current programming …
improve their grasp of programming and coding. Furthermore, current programming …
[PDF][PDF] Refurbished and improvised model using convolution network for autism disorder detection in facial images
The main quality of deep learning over conventional machine learning (ML) techniques
empowers firsthand uses in processing of images, speech recognition, medical imaging …
empowers firsthand uses in processing of images, speech recognition, medical imaging …
Comparison of the keras-lstm algorithms for classifying autism spectrum disorder using facial images
WY Kurniawan, PH Gunawan… - … Conference on Data …, 2023 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a neurodevel-opmental condition that affects early
childhood communication abilities, leading to depression and suicidal ideation. The CDC …
childhood communication abilities, leading to depression and suicidal ideation. The CDC …
Deep learning approach to predict autism spectrum disorder: a systematic review and meta-analysis
Y Ding, H Zhang, T Qiu - BMC psychiatry, 2024 - Springer
Background The use of the deep learning (DL) approach has been suggested or applied to
identify childhood autism spectrum disorder (ASD). The capacity to predict ASD, however …
identify childhood autism spectrum disorder (ASD). The capacity to predict ASD, however …
Effect of different modalities of facial images for diagnosis of ASD by deep neural network
This research aims to explore the potential of various facial image types in diagnosing
Autism Spectrum Disorder (ASD) through the application of deep learning neural networks. It …
Autism Spectrum Disorder (ASD) through the application of deep learning neural networks. It …
Facial Feature Analysis for Autism Detection Using Deep Learning
A Singh, M Laroia, A Rawat, KR Seeja - International Conference On …, 2023 - Springer
One in hundred children worldwide, in the age range of three months to three years are
living with autism spectrum disorder (ASD), leading to a significant difference in their fine …
living with autism spectrum disorder (ASD), leading to a significant difference in their fine …
[HTML][HTML] Autism Identification Based on the Intelligent Analysis of Facial Behaviors: An Approach Combining Coarse-and Fine-Grained Analysis
Background: Facial behavior has emerged as a crucial biomarker for autism identification.
However, heterogeneity among individuals with autism poses a significant obstacle to …
However, heterogeneity among individuals with autism poses a significant obstacle to …
Addressing the challenge of dataset acquisition for ASD diagnosis with deep learning-based neural networks
The abstract examines the need for prompt and accurate diagnosis of Autism Spectrum
Disorder (ASD), a neurodevelopmental disorder characterized by difficulties in social …
Disorder (ASD), a neurodevelopmental disorder characterized by difficulties in social …
Transfer Learning Approach for Detection of Autism Spectrum Disorder using Facial Images
K Patel, A Ramanuj, S Sakhiya… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is characterized by deficits in social interaction,
communication issues, and repetitive behavioral patterns. Effective ASD intervention and …
communication issues, and repetitive behavioral patterns. Effective ASD intervention and …