Development of machine learning based framework for classification and prediction of students in virtual classroom environment
B Loganathan, I Patra, V Garchar… - 2022 International …, 2022 - ieeexplore.ieee.org
MOOCs provide a new way to train students, reshape the way students learn, and attract
students from all over the world to participate in their courses. Machine learning is a key …
students from all over the world to participate in their courses. Machine learning is a key …
[PDF][PDF] Web based expert system for diagnosing disease pest on banana plant
Abstract Development of computer technology inspires the creation of a computer
application Expert System in Diagnosing Web-Based Banana Plant Disease. The purpose of …
application Expert System in Diagnosing Web-Based Banana Plant Disease. The purpose of …
The health of things for classification of protein structure using improved grey wolf optimization
In the field of computational biology, prediction of high-resolution protein structure is
regarded as a major challenge. Physical and chemical properties of the protein structure …
regarded as a major challenge. Physical and chemical properties of the protein structure …
Expert system in determining baby disease using web mobile-based weighted product method
M Muslihudin, G Devika, P Manickam… - International Journal of …, 2019 - elibrary.ru
Based on the health minister of the republic of Indonesia the number of infant deaths have
been decreased from 33,278 in 2015 to 32,007 in 2016 and in 2017 as many as 10,294 …
been decreased from 33,278 in 2015 to 32,007 in 2016 and in 2017 as many as 10,294 …
Deep multilayer neural network with weights optimization-based genetic algorithm for predicting hypothyroid disease
FZ El-Hassani, F Fatih, NE Joudar… - Arabian Journal for …, 2023 - Springer
Accurate diagnosis and effective treatment of thyroid conditions, such as hypothyroidism and
hyperthyroidism, are crucial due to their wide-ranging symptoms and consequences …
hyperthyroidism, are crucial due to their wide-ranging symptoms and consequences …
Predicting the severity of Parkinson's disease dementia by assessing the neuropsychiatric symptoms with an SVM regression model
H Byeon - International Journal of Environmental Research and …, 2021 - mdpi.com
In this study, we measured the convergence rate using the mean-squared error (MSE) of the
standardized neuropsychological test to determine the severity of Parkinson's disease …
standardized neuropsychological test to determine the severity of Parkinson's disease …
Predicting Thyroid Dysfunction Using Machine Learning Techniques
The history of the thyroid gland dates back to ancient times when it was recognized as a
structure in the neck that was important for maintaining good health. Early detection of …
structure in the neck that was important for maintaining good health. Early detection of …
Parkinson's diagnosis using ant-lion optimisation algorithm
Parkinson's disease (PD) is a long term progressive disorder of the central nervous system
that mainly affects the movement of the body. But there are several limitations in detecting …
that mainly affects the movement of the body. But there are several limitations in detecting …
[HTML][HTML] Diagnosis of hypothyroidism using a fuzzy rule-based expert system
NA Sajadi, S Borzouei, H Mahjub… - Clinical Epidemiology and …, 2019 - Elsevier
Background Early and accurate diagnosis of many diseases is critical to their treatment.
Today, the classification models based on fuzzy intelligent systems help the uncertainty …
Today, the classification models based on fuzzy intelligent systems help the uncertainty …
Face recognition on a smart image sensor using local gradients
In this paper, we present the architecture of a smart imaging sensor (SIS) for face
recognition, based on a custom-design smart pixel capable of computing local spatial …
recognition, based on a custom-design smart pixel capable of computing local spatial …