Deep learning applications for dyslexia prediction
ND Alqahtani, B Alzahrani, MS Ramzan - Applied Sciences, 2023 - mdpi.com
Dyslexia is a neurological problem that leads to obstacles and difficulties in the learning
process, especially in reading. Generally, people with dyslexia suffer from weak reading …
process, especially in reading. Generally, people with dyslexia suffer from weak reading …
CNN comparisons models on dyslexia handwriting classification
Dyslexia is developed by neurobiological in origin which is categorized as learning disorder
that affect the ability to read, spell, write and speak. The most common dyslexia symptom …
that affect the ability to read, spell, write and speak. The most common dyslexia symptom …
Prediction of dyslexia using machine learning—a research travelogue
A Jothi Prabha, R Bhargavi - … of the Third International Conference on …, 2019 - Springer
Dyslexia is regarded as a common learning disorder characterized by a persistent deficit in
rapid word recognition and by spelling. It affects the individual's ability to decode letters and …
rapid word recognition and by spelling. It affects the individual's ability to decode letters and …
Prediction of dyslexia from eye movements using machine learning
A Jothi Prabha, R Bhargavi - IETE Journal of Research, 2022 - Taylor & Francis
Dyslexia is a reading disability and a language disorder where the individual exhibits
difficulty in reading, writing, speaking, and trouble in spelling words. Early prediction of …
difficulty in reading, writing, speaking, and trouble in spelling words. Early prediction of …
Advance machine learning methods for dyslexia biomarker detection: A review of implementation details and challenges
Dyslexia is a neurological disorder that is characterized by imprecise comprehension of
words and generally poor reading performance. It affects a significant population of school …
words and generally poor reading performance. It affects a significant population of school …
[PDF][PDF] Application of machine learning techniques for improving learning disabilities
TS Poornappriya, R Gopinath - International Journal of Electrical …, 2020 - researchgate.net
Learning disorders such as dysgraphia, dyslexia, dyspraxia, and others obstruct academic
progress while also having long-term implications that extend beyond academic time. It is …
progress while also having long-term implications that extend beyond academic time. It is …
[HTML][HTML] Dyslexia detection using 3D convolutional neural networks and functional magnetic resonance imaging
S Zahia, B Garcia-Zapirain, I Saralegui… - Computer methods and …, 2020 - Elsevier
Abstract Background and Objectives: Dyslexia is a disorder of neurological origin which
affects the learning of those who suffer from it, mainly children, and causes difficulty in …
affects the learning of those who suffer from it, mainly children, and causes difficulty in …
Dyslexia and Dysgraphia prediction: A new machine learning approach
G Richard, M Serrurier - arXiv preprint arXiv:2005.06401, 2020 - arxiv.org
Learning disabilities like dysgraphia, dyslexia, dyspraxia, etc. interfere with academic
achievements but have also long terms consequences beyond the academic time. It is …
achievements but have also long terms consequences beyond the academic time. It is …
Novel ensemble model recommendation approach for the detection of dyslexia
AS AlGhamdi - Children, 2022 - mdpi.com
There are a large number of neurological disorders being explored regarding possible
management and treatment, with dyslexia being one of the disorders that affect children at …
management and treatment, with dyslexia being one of the disorders that affect children at …
[HTML][HTML] Detection of developmental dyslexia with machine learning using eye movement data
Dyslexia is a common neurocognitive learning disorder that can seriously hinder individuals'
aspirations if not detected and treated early. Instead of costly diagnostic assessment made …
aspirations if not detected and treated early. Instead of costly diagnostic assessment made …