Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to ...

Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

Energy investment is undergoing a profound transformation as the global transition from fossil fuels to renewable energy accelerates .

This project applies the Random Forest algorithm to classify individuals' income levels based on demographic and employment-related attributes. Using the Adult dataset, the project involves data ...

Abstract: Random forest ... classification and regression problems, which constitute the majority of machine learning applications or systems nowadays. However, as the data are being generated ...

Handled missing data with mean imputation. Encoded categorical variables using LabelEncoder. Checked the model’s performance using accuracy and classification report. Visualized the results using a ...

To minimize the risk of serious damage and reduce high maintenance costs, this study proposed an anomaly detection technique using the Isolation Forest algorithm and the application of Shapley ...