[HTML][HTML] CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
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 …
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
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 …
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 …
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 …
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 …
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 …
students' analytical capacities, encompassing the determination of self-efficacy levels and …
Advanced Library Management System using IoT
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 …
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 …
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
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 …
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 …
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 …
highlighted the need for early and accurate detection methods. This research presents a …