[HTML][HTML] Deep learning-driven dyslexia detection model using multi-modality data
Y Alkhurayyif, ARW Sait - PeerJ Computer Science, 2024 - peerj.com
Background Dyslexia is a neurological disorder that affects an individual's language
processing abilities. Early care and intervention can help dyslexic individuals succeed …
processing abilities. Early care and intervention can help dyslexic individuals succeed …
[HTML][HTML] Developing an Image-Based Dyslexia Detection Model Using the Deep Learning Technique
Y Alkhurayyif, ARW Sait - Journal of Disability Research, 2023 - scienceopen.com
Dyslexia is a neurological disorder. Across the globe, children are primarily affected by
dyslexia. Deep learning (DL) approaches have been applied in dyslexia detection (DD) …
dyslexia. Deep learning (DL) approaches have been applied in dyslexia detection (DD) …
Predicting Pellet Quality at the Mill Level Using Machine Learning and Statistical Models
J You - 2024 - atrium.lib.uoguelph.ca
Feed mills face an ongoing challenge of controlling pellet quality of manufactured feeds, as
many factors during formulation and manufacturing influence the physical properties and …
many factors during formulation and manufacturing influence the physical properties and …
Classification of Acid-Base Disorders Through Machine Learning
AG Pando, NGS Lira - … : Proceedings of CNIB 2023, November 2 …, 2023 - books.google.com
The present research aims to develop a tool in the form of an algorithm that can provide an
accurate diagnosis of a patient's acid-base balance without the need for manual calculations …
accurate diagnosis of a patient's acid-base balance without the need for manual calculations …
Classification of Acid-Base Disorders Through Machine Learning
RR de la Peña Martinez, EA Del Val Saucedo… - Congreso Nacional de …, 2023 - Springer
The present research aims to develop a tool in the form of an algorithm that can provide an
accurate diagnosis of a patient's acid-base balance without the need for manual calculations …
accurate diagnosis of a patient's acid-base balance without the need for manual calculations …