1 citations · 1 across the 3 of their papers we have counts for
4 papers
NS3Learn: Transferring 5G NR Mode-2 Reception Realism from ns-3 to the Veins/SUMO Stack for Connected-Vehicle Safety Assessment
Rasheed Bello, Arthur Mukwaya, Gurcan Comert +5
Connected-vehicle safety evaluations rely on coupled traffic and network simulations, but standard channel models ignore radio resource competition in 5G NR sidelink Mode-2, report…
Mode Choice Heterogeneity Among Zero-Vehicle Households: A Latent Class Cluster Approach
Nancy Kasamala, Arthur Mukwaya, Nana Kankam Gyimah +4
In transportation planning, Zero-Vehicle Households (ZVHs) are often treated as a uniform group with limited mobility options and assumed to rely heavily on walking or public trans…
A Prescriptive Framework for Determining Optimal Days for Short-Term Traffic Counts
Arthur Mukwaya, Nancy Kasamala, Nana Kankam Gyimah +5
The Federal Highway Administration (FHWA) mandates that state Departments of Transportation (DOTs) collect reliable Annual Average Daily Traffic (AADT) data. However, many U.S. DOT…
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…