3 papers
cs.RO2025
Systematic Evaluation of Initial States and Exploration-Exploitation Strategies in PID Auto-Tuning: A Framework-Driven Approach Applied on Mobile Robots
Zaid Ghazal, Ali Al-Bustami, Khouloud Gaaloul +1
PID controllers are widely used in control systems because of their simplicity and effectiveness. Although advanced optimization techniques such as Bayesian Optimization and Differ…
cs.LG2025
From Players to Champions: A Generalizable Machine Learning Approach for Match Outcome Prediction with Insights from the FIFA World Cup
Ali Al-Bustami, Zaid Ghazal
Accurate prediction of FIFA World Cup match outcomes holds significant value for analysts, coaches, bettors, and fans. This paper presents a machine learning framework specifically…
cs.RO2025
DriveNetBench: An Affordable and Configurable Single-Camera Benchmarking System for Autonomous Driving Networks
Ali Al-Bustami, Humberto Ruiz-Ochoa, Jaerock Kwon
Validating autonomous driving neural networks often demands expensive equipment and complex setups, limiting accessibility for researchers and educators. We introduce DriveNetBench…