In computer vision, traditional machine learning (TML) and deep learning (DL) methods
have significantly contributed to the advancements of medical image analysis (MIA) by …

Data classification using K-Nearest Neighbor in high dimensions will produce a decrease in
accuracy and takes time to compute. This research uses purity as a K-Nearest Neighbor …

Introduction Volatilomics is an omics science that is characterized as being a specific
subbranch of metabolomics, which studies the different types of volatile organic compounds …

In this age of digital microscopy, image processing, statistical analysis, categorization, and
systems for decision-making have become essential tools for medical diagnostics research …

The Hass avocado (Persea americana Mill.) stands out for its high nutritional value and the
presence of bioactive compounds. Its fat content includes omega-like compounds …

Classification algorithms mostly become problematic on data with high dimensions, resulting
in a decrease in classification accuracy. One method that allows classification algorithms to …

This research explores the integration of Principal Component Analysis (PCA) with Support
Vector Machine (SVM) classification to identify the key factors influencing customer …