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From the 1 of 17 linked papers with an AI index.

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20242026
most citedRobust hardware Trojan detection leveraging dual-domain features and stacked ensemble learning

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cs.LG2025

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…

cs.LG2025

Real-Time Conflict Prediction for Large Truck Merging in Mixed Traffic at Work Zone Lane Closures

Abyad Enan, Abdullah Al Mamun, Gurcan Comert +4

Large trucks substantially contribute to work zone-related crashes, primarily due to their large size and blind spots. When approaching a work zone, large trucks often need to merg…

cs.LG2025

Crash Severity Risk Modeling Strategies under Data Imbalance

Abdullah Al Mamun, Abyad Enan, Debbie A. Indah +3

This study investigates crash severity risk modeling strategies for work zones involving large vehicles (i.e., trucks, buses, and vans) under crash data imbalance between low-sever…

cs.LG2025

Quantum Computing Supported Adversarial Attack-Resilient Autonomous Vehicle Perception Module for Traffic Sign Classification

Reek Majumder, Mashrur Chowdhury, Sakib Mahmud Khan +6

Deep learning (DL)-based image classification models are essential for autonomous vehicle (AV) perception modules since incorrect categorization might have severe repercussions. Ad…

cs.LG2025

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…

cs.LG2025

Analyzing Factors Influencing Driver Willingness to Accept Advanced Driver Assistance Systems

Hannah Musau, Nana Kankam Gyimah, Judith Mwakalonge +2

Advanced Driver Assistance Systems (ADAS) enhance highway safety by improving environmental perception and reducing human errors. However, misconceptions, trust issues, and knowled…