Assegie et al. (2022) explored a dataset of heart disease images using machine learning models to predict heart disease. They used recursive feature elimination with cross-validation (RFECV) to analyze the significance of heart disease features on the output generated by the model. The dataset for this experiment was obtained from the University of California Irvine...Read More

Greetings, fellow Nawala! May you always be in good health. This is the IAES Nawala of the Institute of Advanced Engineering and Science. Today we will share some news about smart farming. Smart farming is a technology that uses data to improve agricultural efficiency and productivity. It involves data collection and analysis, precision farming, automation,...Read More

Greetings, fellow Nawala! May you always be in good health. This is the IAES Nawala of the Institute of Advanced Engineering and Science. Today we will share some news about sentiment analysis. Sentiment analysis is a natural language processing (NLP) technique used to identify sentiments or feelings reflected in text. The goal is to categorize...Read More

Greetings, fellow Nawala! May you always be in good health. This is the IAES Nawala of the Institute of Advanced Engineering and Science. Today we will share some news about image restoration. Image restoration refers to the process of improving the quality and appearance of digital images that have been degraded or damaged by noise,...Read More