An integrated statistical and clinically applicable machine learning framework for the detection of autism spectrum disorder
Autism Spectrum Disorder (ASD) is a neurological impairment condition that severely
impairs cognitive, linguistic, object recognition, interpersonal, and communication skills. Its …
impairs cognitive, linguistic, object recognition, interpersonal, and communication skills. Its …
Novel framework for autism spectrum disorder identification and tailored education with effective data mining and ensemble learning techniques
Autism Spectrum Disorder (ASD) is a neurological condition that significantly affects
cognitive abilities, language comprehension, object recognition, interpersonal skills, and …
cognitive abilities, language comprehension, object recognition, interpersonal skills, and …
Privacy-preserving federated learning with domain adaptation for multi-disease ocular disease recognition
Z Tang, HS Wong, Z Yu - IEEE Journal of Biomedical and …, 2023 - ieeexplore.ieee.org
As one of the effective ways of ocular disease recognition, early fundus screening can help
patients avoid unrecoverable blindness. Although deep learning is powerful for image …
patients avoid unrecoverable blindness. Although deep learning is powerful for image …
Interpretable Machine Learning Framework to Predict the Glass Transition Temperature of Polymers
MJ Uddin, J Fan - Polymers, 2024 - mdpi.com
The glass transition temperature of polymers is a key parameter in meeting the application
requirements for energy absorption. Previous studies have provided some data from slow …
requirements for energy absorption. Previous studies have provided some data from slow …
Modified meta heuristic BAT with ML classifiers for detection of autism spectrum disorder
ASD (autism spectrum disorder) is a complex developmental and neurological disorder that
impacts the social life of the affected person by disturbing their capability for interaction and …
impacts the social life of the affected person by disturbing their capability for interaction and …
An explainable machine learning framework for multiple medical datasets classification
Machine learning (ML) has emerged as a ground-breaking approach for disease
prognostication, garnering considerable attention from researchers in recent times. Although …
prognostication, garnering considerable attention from researchers in recent times. Although …
Advancing ASD detection: novel approach integrating attention graph neural networks and crossover boosted meerkat optimization
Autism spectrum disorder (ASD) is a neurodevelopmental condition that significantly impacts
the lives of many children due to its hidden symptoms. Early detection of ASD is challenging …
the lives of many children due to its hidden symptoms. Early detection of ASD is challenging …
A Wearable Eye-Tracking Approach for Early Autism Detection with Machine Learning: Unravelling Challenges and Opportunities
J Lopez-Martinez, P Checa… - … Joint Conference on …, 2024 - ieeexplore.ieee.org
Early detection of Autism Spectrum Disorder (ASD) is crucial to facilitate timely interventions,
improve outcomes, and enhance the quality of life for individuals on the spectrum. Artificial …
improve outcomes, and enhance the quality of life for individuals on the spectrum. Artificial …
Blasthole Detection on the Tunnel Face under Low-Light Environments
S Pan, Z Yue, T Yu, S Wang… - Transportation Research …, 2024 - journals.sagepub.com
Because of factors such as the complex surrounding rock backgrounds and the inability of
underground artificial light sources to produce even illumination, blasthole detection on …
underground artificial light sources to produce even illumination, blasthole detection on …
[HTML][HTML] A Survey on Genetic Disease− Autism Spectrum Disorder Prediction and Classification in Machine Learning
A Kanchana, R Khilar - International Journal of Nutrition …, 2024 - journals.lww.com
Autism spectrum disorder (ASD) is a hereditary, neurological condition with many
aetiologies that manifest in early childhood. Mental illnesses, including anxiety, poor …
aetiologies that manifest in early childhood. Mental illnesses, including anxiety, poor …