An integrated statistical and clinically applicable machine learning framework for the detection of autism spectrum disorder

MJ Uddin, MM Ahamad, PK Sarker, S Aktar, N Alotaibi… - Computers, 2023 - mdpi.com
Autism Spectrum Disorder (ASD) is a neurological impairment condition that severely
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

F Hajjej, S Ayouni, MA Alohali, M Maddeh - IEEE Access, 2024 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a neurological condition that significantly affects
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 …

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 …

Modified meta heuristic BAT with ML classifiers for detection of autism spectrum disorder

M Sha, A Alqahtani, S Alsubai, AK Dutta - Biomolecules, 2023 - mdpi.com
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 …

An explainable machine learning framework for multiple medical datasets classification

M Mitu, SMM Hasan, AH Efat… - … Conference on Next …, 2023 - ieeexplore.ieee.org
Machine learning (ML) has emerged as a ground-breaking approach for disease
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

L Goel, S Gupta, A Gupta, SN Rajan, VK Gupta… - International Journal of …, 2024 - Springer
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 …

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 …

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 …

[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 …