Classification of Rice Grain Varieties Using Ensemble Learning and Image Analysis Techniques
R Setiawan, H Oumarou - Indonesian Journal of Data and …, 2024 - jurnal.yoctobrain.org
This research explored the efficacy of machine learning techniques, specifically the Bagging
meta-estimator, in the classification of rice grain images. Utilizing a dataset composed of …
meta-estimator, in the classification of rice grain images. Utilizing a dataset composed of …
Classification of Pseudopapilledema and Papilledema Using Decision Tree and Hu Moments
H Oumarou - International Journal of Artificial Intelligence in …, 2024 - jurnal.yoctobrain.org
Pseudopapilledema, characterized by an anomalous elevation of the optic disc without
retinal nerve fiber layer edema, often mimics the presentation of true papilledema caused by …
retinal nerve fiber layer edema, often mimics the presentation of true papilledema caused by …
Predictive Modelling of Liver Disease Using Biochemical Markers and K-Nearest Neighbors Algorithm
A Hidayat - International Journal of Artificial Intelligence in …, 2024 - jurnal.yoctobrain.org
The incidence of liver cirrhosis-related deaths is on the rise due to increased alcohol
consumption, chronic hepatitis infections, and obesity-related liver conditions. Early …
consumption, chronic hepatitis infections, and obesity-related liver conditions. Early …
Automated Classification of COVID-19 Chest X-ray Images Using Ensemble Machine Learning Methods
A Sinra, H Angriani - Indonesian Journal of Data and Science, 2024 - jurnal.yoctobrain.org
This study delves into the efficacy of ensemble machine learning techniques for classifying
chest X-ray images into three distinct categories: Normal, COVID-19, and Lung Opacity …
chest X-ray images into three distinct categories: Normal, COVID-19, and Lung Opacity …
Optimizing Disease Identification in Mango Leaves: A Channel Attention Approach with Enhanced EfficientNet
In the GDP of Bangladesh, the contribution of agriculture is significant. To the mass
population, mango is the most preferred fruit because of its variety, nutritional value, and …
population, mango is the most preferred fruit because of its variety, nutritional value, and …
Assessing the Performance of Logistic Regression in Heart Disease Detection through 5-Fold Cross-Validation
H Azis - International Journal of Artificial Intelligence in …, 2024 - jurnal.yoctobrain.org
This study explores the effectiveness of Logistic Regression in predicting heart disease
using a dataset derived from multiple international databases. Employing a 5-fold cross …
using a dataset derived from multiple international databases. Employing a 5-fold cross …
Assessing the Predictive Power of Logistic Regression on Liver Disease Prevalence in the Indian Context
I Alwiah, U Zaky, AW Murdiyanto - Indonesian Journal of Data …, 2024 - jurnal.yoctobrain.org
This study delves into the application of Logistic Regression through a Voting Classifier to
predict liver disease prevalence within the Indian demographic, specifically analyzing data …
predict liver disease prevalence within the Indian demographic, specifically analyzing data …