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A review of machine learning and deep learning for object detection, semantic segmentation, and human action recognition in machine and robotic vision
Machine vision, an interdisciplinary field that aims to replicate human visual perception in
computers, has experienced rapid progress and significant contributions. This paper traces …
computers, has experienced rapid progress and significant contributions. This paper traces …
Eye tracking biomarkers for autism spectrum disorder detection using machine learning and deep learning techniques
Eye tracking is a promising tool for Autism Spectrum Disorder (ASD) detection in both
children and adults. An important aspect of social communication is kee** eye contact …
children and adults. An important aspect of social communication is kee** eye contact …
[HTML][HTML] Hybrid techniques of facial feature image analysis for early detection of autism spectrum disorder based on combined CNN features
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized
by difficulties in social communication and repetitive behaviors. The exact causes of ASD …
by difficulties in social communication and repetitive behaviors. The exact causes of ASD …
[HTML][HTML] A multi-classifier-based recommender system for early autism spectrum disorder detection using machine learning
Efficient and effective medical diagnostic systems are needed for Autism Spectrum Disorder
(ASD) detection and treatment. Healthcare specialists generates extensive remarks on …
(ASD) detection and treatment. Healthcare specialists generates extensive remarks on …
A novel analysis and detection of autism spectrum disorder in artificial intelligence using hybrid machine learning
Heart Disease or Cardiovascular Disease refers to the range of heart conditions like cardiac
arrest, coronary artery disease. Heart disease can be very well hindered through certain …
arrest, coronary artery disease. Heart disease can be very well hindered through certain …
Implementation of Robots in Autism Spectrum Disorder Research: Diagnosis and Emotion Recognition and Expression
Early Autism Spectrum Disorder (ASD) diagnosis and intervention with state-of-the-art
instruments, such as Artificial Intelligence and Robots is a rather challenging and promising …
instruments, such as Artificial Intelligence and Robots is a rather challenging and promising …
Machine learning methods for autism spectrum disorder classification
It is important to acquire an early Autism Spectrum Disorder (ASD) diagnosis which can lead
to early intervention. However, ASD assessment is based on behavioural measures which …
to early intervention. However, ASD assessment is based on behavioural measures which …
Leveraging Transfer Learning with Stacked Ensemble Learning for theDetection of Autism Spectrum Disorder using Eye-tracking
A neurological condition known as Autism Spectrum Disorder (ASD) has an impact on
various facets of children's behavior. Some Children show symptoms within 12 months …
various facets of children's behavior. Some Children show symptoms within 12 months …
[HTML][HTML] ASDvit: Enhancing Autism Spectrum Disorder Classification Using Vision Transformer Models Based on Static Facial Features Images
This study embarks on an exploratory journey into autism spectrum disorder (ASD), a
multifaceted neurological developmental disorder with a spectrum of manifestations …
multifaceted neurological developmental disorder with a spectrum of manifestations …
Detection of Autism Spectrum Disorder using Deep Learning Models
K Chakradhar, KT Tharun, PSK Reddy… - … and Informatics (ICICI …, 2024 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a serious developmental disorder that involves problems
with social interaction and communication, as well as repetitive behavior. Early diagnosis …
with social interaction and communication, as well as repetitive behavior. Early diagnosis …