Smartphone-Based Pavement Roughness Estimation Using Deep Learning with Entity Embedding. - Armstrong Aboah; Yaw Adu-Gyamfi (Adv. Data Sci. Adapt. Anal., 2020)

A Vision-Based System for Traffic Anomaly Detection Using Deep Learning and Decision Trees. - Armstrong Aboah (CVPR Workshops, 2021)

A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees. - Armstrong Aboah; Maged Shoman; Vishal Mandal; Sayedomidreza Davami; Yaw Adu-Gyamfi; Anuj Sharma (CoRR, 2021)

Mobile Sensing for Multipurpose Applications in Transportation. - Armstrong Aboah; Michael Boeding; Yaw Adu-Gyamfi (CoRR, 2021)

Comparative Analysis of Machine Learning Models for Predicting Travel Time. - Armstrong Aboah; Elizabeth Arthur (CoRR, 2021)

Identifying the Factors that Influence Urban Public Transit Demand. - Armstrong Aboah; Lydia Johnson; Setul Shah (CoRR, 2021)

A Region-Based Deep Learning Approach to Automated Retail Checkout. - Maged Shoman; Armstrong Aboah; Alex Morehead; Ye Duan; Abdulateef Daud; Yaw Adu-Gyamfi (CVPR Workshops, 2022)

The 1st Data Science for Pavements Challenge. - Ashkan Behzadian; Tanner Wambui Muturi; Tianjie Zhang; Hongmin Kim; Amanda Mullins; Yang Lu; Neema Jakisa Owor; Yaw Adu-Gyamfi; William G. Buttlar; Hamed Majidifard; Armstrong Aboah; David Mensching; et al. (CoRR, 2022)

Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification. - Armstrong Aboah; Yaw Adu-Gyamfi; Senem Velipasalar Gursoy; Jennifer Merickel; Matthew Rizzo; Anuj Sharma (CoRR, 2022)

GC-GRU-N for Traffic Prediction using Loop Detector Data. - Maged Shoman; Armstrong Aboah; Abdulateef Daud; Yaw Adu-Gyamfi (CoRR, 2022)

Real-Time Helmet Violation Detection in AI City Challenge 2023 with Genetic Algorithm-Enhanced YOLOv5. - Elham Soltanikazemi; Ashwin Dhakal; Bijaya Kumar Hatuwal; Imad Eddine Toubal; Armstrong Aboah; Kannappan Palaniappan (AIPR, 2023)

DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos. - Armstrong Aboah; Ulas Bagci; Abdul Rashid Mussah; Neema Jakisa Owor; Yaw Adu-Gyamfi (CVPR Workshops, 2023)

Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8. - Armstrong Aboah; Bin Wang 068; Ulas Bagci; Yaw Adu-Gyamfi (CVPR Workshops, 2023)

GazeSAM: Interactive Image Segmentation with Eye Gaze and Segment Anything Model. - Bin Wang 068; Armstrong Aboah; Zheyuan Zhang; Hongyi Pan; Ulas Bagci (Gaze Meets ML, 2023)

AI-Based Framework for Understanding Car Following Behaviors of Drivers in A Naturalistic Driving Environment. - Armstrong Aboah; Abdul Rashid Mussah; Yaw Adu-Gyamfi (CoRR, 2023)

Real-Time Helmet Violation Detection Using YOLOv5 and Ensemble Learning. - Geoffery Agorku; Divine Agbobli; Vuban Chowdhury; Kwadwo Amankwah-Nkyi; Adedolapo Ogungbire; Portia Ankamah Lartey; Armstrong Aboah (CoRR, 2023)

SigSegment: A Signal-Based Segmentation Algorithm for Identifying Anomalous Driving Behaviours in Naturalistic Driving Videos. - Kelvin Kwakye; Younho Seong; Armstrong Aboah; Sun Yi (CoRR, 2023)

Fine-Tuning YOLOv5 with Genetic Algorithm For Helmet Violation Detection. - Elham Soltanikazemi; Armstrong Aboah; Elizabeth Arthur; Bijaya Kumar Hatuwal (CoRR, 2023)

GazeSAM: What You See is What You Segment. - Bin Wang 068; Armstrong Aboah; Zheyuan Zhang; Ulas Bagci (CoRR, 2023)

GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification. - Bin Wang 068; Hongyi Pan; Armstrong Aboah; Zheyuan Zhang; Ahmet Enis Çetin; Drew A. Torigian; Baris Turkbey; Elizabeth A. Krupinski; Jayaram K. Udupa; Ulas Bagci (CoRR, 2023)

Edge Computing-Enabled Road Condition Monitoring: System Development and Evaluation. - Abdulateef Daud; Mark Amo-Boateng; Neema Jakisa Owor; Armstrong Aboah; Yaw Adu-Gyamfi (CoRR, 2023)

Image2PCI - A Multitask Learning Framework for Estimating Pavement Condition Indices Directly from Images. - Neema Jakisa Owor; Hang Du; Abdulateef Daud; Armstrong Aboah; Yaw Adu-Gyamfi (CoRR, 2023)

Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis. - Maged Shoman; Dongdong Wang; Armstrong Aboah; Mohamed A. Abdel-Aty (CVPR Workshops, 2024)

Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets. - Dai Quoc Tran; Armstrong Aboah; Yuntae Jeon; Maged Shoman; Minsoo Park; Seunghee Park (CVPR Workshops, 2024)

GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification. - Bin Wang 068; Hongyi Pan; Armstrong Aboah; Zheyuan Zhang; Elif Keles; Drew A. Torigian; Baris Turkbey; Elizabeth A. Krupinski; Jayaram K. Udupa; Ulas Bagci (WACV, 2024)

Graph Convolutional Gated Recurrent Unit Network for Traffic Prediction Using Loop Detector Data. - Maged Shoman; Armstrong Aboah; Abdulateef Daud; Yaw Adu-Gyamfi (Adv. Data Sci. Adapt. Anal., 2024)

A Novel FHWA-Compliant Dataset for Granular Vehicle Detection and Classification. - Elizabeth Arthur; Armstrong Aboah; Ying Huang (IEEE Access, 2024)

DivNEDS: Diverse Naturalistic Edge Driving Scene Dataset for Autonomous Vehicle Scene Understanding. - John Owusu Duah; Armstrong Aboah; Stephen Osafo-Gyamfi (IEEE Access, 2024)

Weather-Adaptive Synthetic Data Generation for Enhanced Power Line Inspection Using StarGAN. - Blessing Agyei Kyem; Joshua Kofi Asamoah; Ying Huang; Armstrong Aboah (IEEE Access, 2024)

3D Object Detection and High-Resolution Traffic Parameters Extraction Using Low-Resolution LiDAR Data. - Linlin Zhang; Xiang Yu; Armstrong Aboah; Yaw Adu-Gyamfi (CoRR, 2024)

PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation. - Blessing Agyei Kyem; Eugene Kofi Okrah Denteh; Joshua Kofi Asamoah; Armstrong Aboah (CoRR, 2024)

Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets. - Blessing Agyei Kyem; Eugene Kofi Okrah Denteh; Joshua Kofi Asamoah; Kenneth Adomako Tutu; Armstrong Aboah (CoRR, 2024)

PaveSAM Segment Anything for Pavement Distress. - Neema Jakisa Owor; Yaw Adu-Gyamfi; Armstrong Aboah; Mark Amo-Boateng (CoRR, 2024)

Power-Synth: Synthetic Dataset for Power Line Inspection. - Blessing Agyei Kyem; Joshua Kofi Asamoah; Armstrong Aboah; Ying Huang (IEEE DataPort, 2024)

Enhancing Fisheye Object Detection Using Frequency-Domain Attention and Dual Aggregation Transformer. - Oreoluwa Alade; Noreen Fayyaz Khan; Armstrong Aboah (IEEE Access, 2025)

SAAM-ReflectNet: Sign-aware attention-based multitasking framework for integrated traffic sign detection and retroreflectivity estimation. - Joshua Kofi Asamoah; Blessing Agyei Kyem; Nathan David Obeng-Amoako; Armstrong Aboah (Expert Syst. Appl., 2025)

A Review Paper of the Effects of Distinct Modalities and ML Techniques to Distracted Driving Detection. - Anthony Dontoh; Stephanie Ivey; Logan Sirbaugh; Armstrong Aboah (CoRR, 2025)

Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images. - Blessing Agyei Kyem; Joshua Kofi Asamoah; Armstrong Aboah (CoRR, 2025)

Integrating Travel Behavior Forecasting and Generative Modeling for Predicting Future Urban Mobility and Spatial Transformations. - Eugene Kofi Okrah Denteh; Andrews Danyo; Joshua Kofi Asamoah; Blessing Agyei Kyem; Twitchell Addai; Armstrong Aboah (CoRR, 2025)

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images. - Andrews Danyo; Anthony Dontoh; Armstrong Aboah (CoRR, 2025)

Visual Dominance and Emerging Multimodal Approaches in Distracted Driving Detection: A Review of Machine Learning Techniques. - Anthony Dontoh; Stephanie Ivey; Logan Sirbaugh; Andrews Danyo; Armstrong Aboah (CoRR, 2025)

Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery. - Eugene Kofi Okrah Denteh; Andrews Danyo; Joshua Kofi Asamoah; Blessing Agyei Kyem; Armstrong Aboah (CoRR, 2025)