[HTML][HTML] CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children

J Kunhoth, S Al Maadeed, M Saleh, Y Akbari - Expert Systems with …, 2023 - Elsevier
Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing
skills in children, resulting in poor writing abilities. Poor or underdeveloped writing skills in …

Automated systems for diagnosis of dysgraphia in children: A survey and novel framework

J Kunhoth, S Al-Maadeed, S Kunhoth, Y Akbari… - International Journal on …, 2024 - Springer
Learning disabilities, which primarily interfere with basic learning skills such as reading,
writing, and math, are known to affect around 10% of children in the world. The poor motor …

[HTML][HTML] Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning …

J Kunhoth, S Al Maadeed, M Saleh, Y Akbari - … Signal Processing and …, 2023 - Elsevier
Dysgraphia is a type of learning disorder that affects children's writing skills. Poor writing
skills can obstruct students' academic growth if it is undiagnosed and untreated properly in …

Early detection of ADHD and Dyslexia from EEG Signals

N Gupte, M Patel, T Pen… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
A learning impairment is a dysfunction in one or more fundamental psychological functions
that might show up as a lack of proficiency in some areas of learning, such reading, writing …

Effectiveness of using Decision trees to increase student's analytical skills and cognitive development in education

K Bogdanov, D Gura, D Khimmataliev… - Interactive Learning …, 2024 - Taylor & Francis
The research entails an evaluation of the efficacy of employing decision trees to augment
students' analytical capacities, encompassing the determination of self-efficacy levels and …

Advanced Library Management System using IoT

PD Devi, S Mirudhula, A Devi - … Conference on I-SMAC (IoT in …, 2021 - ieeexplore.ieee.org
Libraries provide education, information, clears doubts and used as reference all over the
world. Even though the internet provides tones of information and e-learning become …

IoT-based cardiovascular prediction framework using deep learning algorithms

Cardiovascular diseases (CVDs) are the biggest cause of mortality worldwide. The
prediction of cardiovascular problems is a significant problem in the field of clinical data …

CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children

K Jayakanth, S Al Maadeed, M Saleh, Y Akbari - 2023 - qspace.qu.edu.qa
Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing
skills in children, resulting in poor writing abilities. Poor or underdeveloped writing skills in …

A framework for dysgraphia detection in children using convolutional neural network

R Gupta, Gunjan, R Garg, S Karwal… - International …, 2023 - inderscienceonline.com
Dysgraphia, a writing disorder in which any human may have difficulty in his writing at any
level such as unrecognised letters/numbers or slow writing. This handwriting disorder is …

Machine Learning Algorithm for Learning Disability Detection and Classifier System

KV Patel, NK Nayak - Journal of Electrical Systems, 2024 - search.proquest.com
The increasing prevalence of learning disabilities among children and adolescents has
highlighted the need for early and accurate detection methods. This research presents a …