A Robust Completed Local Binary Pattern (RCLBP) for Surface Defect Detection. - Nana Kankam Gyimah; Abenezer Girma; Mahmoud Nabil Mahmoud; Shamila Nateghi; Abdollah Homaifar; Daniel Opoku (SMC, 2021)

A Discriminative DeepLab Model (DDLM) for Surface Anomaly Detection and Localization. - Nana Kankam Gyimah; Kishor Datta Gupta; Mahmoud Nabil 001; Xuyang Yan; Abenezer Girma; Abdollah Homaifar; Daniel Opoku (CCWC, 2023)

NCAT12-DET: A New Benchmark Dataset for Surface Defect Detection and a Comparative Study. - Nana Kankam Gyimah; Robert Akinie; Xuyang Yan; Mahmoud Nabil 001; Kishor Datta Gupta; Abdollah Homaifar; Vahid Hemmati; Daniel Opoku (IEEE Access, 2024)

An AutoML-based approach for Network Intrusion Detection. - Nana Kankam Gyimah; Judith Mwakalonge; Gurcan Comert; Saidi Siuhi; Robert Akinie; Methusela Sulle; Denis Ruganuza; Benibo Izison; Arthur Mukwaya (CoRR, 2024)

Fine-Tuning Federated Learning-Based Intrusion Detection Systems for Transportation IoT. - Robert Akinie; Nana Kankam Gyimah; Mansi Bhavsar; John C. Kelly (CoRR, 2025)

Analyzing Factors Influencing Driver Willingness to Accept Advanced Driver Assistance Systems. - Hannah Musau; Nana Kankam Gyimah; Judith Mwakalonge; Gurcan Comert; Saidi Siuhi (CoRR, 2025)

Analysis of Distracted Pedestrians Crossing Behavior: An Immersive Virtual Reality Application. - Methusela Sulle; Judith Mwakalonge; Gurcan Comert; Saidi Siuhi; Nana Kankam Gyimah; Jaylen Roberts; Denis Ruganuza (CoRR, 2025)

Unraveling Pedestrian Fatality Patterns: A Comparative Study with Explainable AI. - Methusela Sulle; Judith Mwakalonge; Gurcan Comert; Saidi Siuhi; Nana Kankam Gyimah (CoRR, 2025)

Harnessing ADAS for Pedestrian Safety: A Data-Driven Exploration of Fatality Reduction. - Methusela Sulle; Judith Mwakalonge; Gurcan Comert; Saidi Siuhi; Nana Kankam Gyimah (CoRR, 2025)