kelvin leonardi Enhancing Early Heart Disease Detection Through Comparative Analysis of Random Forest, Decision Tree, and K-NN Models Heart disease is a leading cause of mortality worldwide and its rising prevalence challenges health sys... Machine learning Naive Bayes Support Vector Machine
kelvin leonardi Hybrid Deep Fixed K-Means (HDF-KMeans) K-Means is one of the most widely used clustering algorithms due to its simplicity, scalability, and computational efficiency. However, its practical application is often hindered by several well-known lim... Machine learning Naive Bayes Support Vector Machine
kelvin leonardi COMPARISON OF SVM, KNN, AND NAÏVE BAYES ALGORITHMS IN MONKEYPOX DISEASE CLASSIFICATION Advances in medical technology have enabled the application of machine learning for disease classification, includ... Machine learning Naive Bayes Support Vector Machine
kelvin leonardi Comparative Analysis of C4.5 And Naïve Bayes Algorithm in Predicting Cerebrovascular Disease Cerebrovascular accidents or strokes are one of the leading causes of death worldwide. Stroke is a disease caused by a malfunction of the blood vessels that supply the blood to the Bra... C4.5 Machine learning Naive Bayes
kelvin leonardi Comparative Analysis Of CNN Algorithm And MLP Neural Algorithm In Waste Image Classification According to the World Bank report, waste is one of the problems that the world is facing. Image classification is one of the fields of machine learning that is capable of classifying was... Convolutional Neural Network Machine learning Multi-Layer Perceptron
