Artificial intelligence of things for smarter healthcare: A survey of advancements, challenges, and opportunities
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …
ageing global population to the current COVID-19 pandemic. In a world where we have …
CNN based on transfer learning models using data augmentation and transformation for detection of concrete crack
Cracks in concrete cause initial structural damage to civil infrastructures such as buildings,
bridges, and highways, which in turn causes further damage and is thus regarded as a …
bridges, and highways, which in turn causes further damage and is thus regarded as a …
HARDC: A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN
Deep learning-based models have achieved significant success in detecting cardiac
arrhythmia by analyzing ECG signals to categorize patient heartbeats. To improve the …
arrhythmia by analyzing ECG signals to categorize patient heartbeats. To improve the …
A machine learning framework for early-stage detection of autism spectrum disorders
Autism Spectrum Disorder (ASD) is a type of neurodevelopmental disorder that affects the
everyday life of affected patients. Though it is considered hard to completely eradicate this …
everyday life of affected patients. Though it is considered hard to completely eradicate this …
The emergence of artificial intelligence in autism spectrum disorder research: A review of neuro imaging and behavioral applications
ID KB, DRV PM - Computer Science Review, 2025 - Elsevier
The quest to find reliable biomarkers in autism spectrum disorders (ASD) is an ongoing
endeavour to identify both underlying causes and measurable indicators of this …
endeavour to identify both underlying causes and measurable indicators of this …
[HTML][HTML] An evaluation of machine learning approaches for early diagnosis of autism spectrum disorder
Abstract Autistic Spectrum Disorder (ASD) is a neurological disease characterized by
difficulties with social interaction, communication, and repetitive activities. While its primary …
difficulties with social interaction, communication, and repetitive activities. While its primary …
Autism screening in toddlers and adults using deep learning and fair AI techniques
I Priyadarshini - Future Internet, 2023 - mdpi.com
Autism spectrum disorder (ASD) has been associated with conditions like depression,
anxiety, epilepsy, etc., due to its impact on an individual's educational, social, and …
anxiety, epilepsy, etc., due to its impact on an individual's educational, social, and …
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 …
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 …
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 …