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Chapter and Conference Paper
Gross Motor Skills Development in Children with and Without Disabilities: A Therapist’s Support System Based on Deep Learning and Adaboost Classifiers
Fundamental or Gross Motor Skills (GMS) are a set of essential skills both for basic movement activities and physical activities. Properly develo** them is vital for children to develop a healthy lifestyle a...
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Chapter and Conference Paper
A New Architecture for Diabetes Prediction Using Data Mining, Deep Learning, and Ensemble Algorithms
It is a big challenge to diagnose diabetes in an early stage. This causes a health problem because it is a severe cause of death if it is not treated early or it can trigger many secondary diseases that impact...
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Article
Lung Cancer Detection: A Classification Approach Utilizing Oversampling and Support Vector Machines
Lung cancer is the type of cancer that causes the most deaths each year. It is also cancer with the lowest survival rate. This represents a health problem worldwide. Lung cancer has two subtypes: Non-Small Cel...
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Chapter and Conference Paper
Rating Pre-writing Skills in Ecuadorian Children: A Preliminary Study Based on Transfer Learning, Hyperparameter Tuning, and Deep Learning
Pre-writing skills are a set of skills that have a great impact on children’s self-esteem and academic achievement. This is a big problem in the development of children. Educators and therapists don’t have muc...
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Chapter and Conference Paper
Rating the Acquisition of Pre-writing Skills in Children: An Analysis Based on Computer Vision and Data Mining Techniques in the Ecuadorian Context
Pre-writing skills are a set of essential skills to learn to write. Commonly, in South America’s public schools, a teacher has a class with approximately 30 or more students. As a result, the teacher has the c...