4 papers
Harnessing ADAS for Pedestrian Safety: A Data-Driven Exploration of Fatality Reduction
Methusela Sulle, Judith Mwakalonge, Gurcan Comert +2
Pedestrian fatalities continue to rise in the United States, driven by factors such as human distraction, increased vehicle size, and complex traffic environments. Advanced Driver…
Unraveling Pedestrian Fatality Patterns: A Comparative Study with Explainable AI
Methusela Sulle, Judith Mwakalonge, Gurcan Comert +2
Road fatalities pose significant public safety and health challenges worldwide, with pedestrians being particularly vulnerable in vehicle-pedestrian crashes due to disparities in p…
Analysis of Distracted Pedestrians Crossing Behavior: An Immersive Virtual Reality Application
Methusela Sulle, Judith Mwakalonge, Gurcan Comert +4
Pedestrian safety is a critical public health priority, with pedestrian fatalities accounting for 18% of all U.S. traffic deaths in 2022. The rising prevalence of distracted walkin…
An AutoML-based approach for Network Intrusion Detection
Nana Kankam Gyimah, Judith Mwakalonge, Gurcan Comert +6
In this paper, we present an automated machine learning (AutoML) approach for network intrusion detection, leveraging a stacked ensemble model developed using the MLJAR AutoML fram…