SMU Data Science Review
The SMU Data Science Review is a repository of SMU Masters student work in the field of data science as well as an electronic journal that promotes data-driven scientific discovery and welcomes experimental and theoretical research on advanced data science technologies and their real world applications.
See the Aims and Scope for a complete coverage of the journal.
Current Issue: Volume 8, Number 3 (2024) Winter 2024
Articles
Enhancing Network Security through Dual-Layer Log Analysis: Integrating Machine Learning Classifiers with Large Language Models for Intelligent Anomaly Detection
Anthony Burton-Cordova, O'Neil Gray, and Mohammad Al Rousan
Enhancing Animal Shelter Operations with Time Series and Machine Learning
Sakava L. Kiv, Donald L. Anderson, Shivam Negi, and Jacquelyn Cheun
Multi-Agent Translation Team (MATT): Enhancing Low-Resource Language Translation through Multi-Agent Workflow
Anishka Peter, Mai Dang, Michael Liu, Joaquin Dominguez, and Nibhrat Lohia
Application for Prediction of Heart Failure; the Next Step in Machine Learning for Healthcare
Amy Adyanthaya, Dawn Bowerman, Rachel Liercke, and Robert Slater
