Published in the journal Fire, the study titled “Artificial Intelligence for Geospatial Decision Support in Rural Wildfire Management: A Configurational Mapping Review” provides a systematic analysis ...

Abstract: The enterprise financial system, facing the growing amount of financial data, may have a significant impact on the long-term operation of the enterprise if it lacks effective management.

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...

Abstract: Computer network big data analysis systems often face the challenge of high-dimensional data processing, especially in network traffic classification and security incident detection, where ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models. A ...

This project explores two different investigation using methods of machine learning and hybrid approach to predict the peak energy consumption in Ireland and energy production in Portugal based on ...

The code uses the scikit-learn machine learning library to train a decision tree on a small dataset of body metrics (height, width, and shoe size) labeled male or female. Then we can predict the ...