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ORCIDYaw Adu-Gyamfi
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2020 – today
- 2024
[j8]Maged Shoman
, Armstrong Aboah, Abdulateef Daud, Yaw Adu-Gyamfi:
Graph Convolutional Gated Recurrent Unit Network for Traffic Prediction Using Loop Detector Data. Adv. Data Sci. Adapt. Anal. 16(1&2): 2450001:1-2450001:16 (2024)- [i21]Linlin Zhang, Xiang Yu, Armstrong Aboah, Yaw Adu-Gyamfi:
3D Object Detection and High-Resolution Traffic Parameters Extraction Using Low-Resolution LiDAR Data. CoRR abs/2401.06946 (2024) - [i20]Linlin Zhang, Xiang Yu, Abdulateef Daud, Abdul Rashid Mussah, Yaw Adu-Gyamfi:
Application of 2D Homography for High Resolution Traffic Data Collection using CCTV Cameras. CoRR abs/2401.07220 (2024) - [i19]Neema Jakisa Owor, Yaw Adu-Gyamfi, Armstrong Aboah, Mark Amo-Boateng:
PaveSAM Segment Anything for Pavement Distress. CoRR abs/2409.07295 (2024) - 2023
- [j7]Kojo Konadu Adu-Gyamfi, Karo Ahmadi-Dehrashid, Yaw Okyere Adu-Gyamfi, Pujitha Gunaratne, Anuj Sharma:
MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension. SoftwareX 24: 101588 (2023) - [j6]Weiheng Chai, Jiajing Chen, Jiyang Wang, Senem Velipasalar, Archana Venkatachalapathy, Yaw Adu-Gyamfi, Jennifer Merickel, Anuj Sharma:
Driver Head Pose Detection From Naturalistic Driving Data. IEEE Trans. Intell. Transp. Syst. 24(9): 9368-9377 (2023) - [c6]Armstrong Aboah, Bin Wang, Ulas Bagci, Yaw Adu-Gyamfi:
Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8. CVPR Workshops 2023: 5350-5358 - [c5]Armstrong Aboah, Ulas Bagci, Abdul Rashid Mussah, Neema Jakisa Owor, Yaw Adu-Gyamfi:
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos. CVPR Workshops 2023: 5359-5365 - [i18]Armstrong Aboah, Abdul Rashid Mussah, Yaw Adu-Gyamfi:
AI-Based Framework for Understanding Car Following Behaviors of Drivers in A Naturalistic Driving Environment. CoRR abs/2301.09315 (2023) - [i17]Armstrong Aboah, Bin Wang, Ulas Bagci, Yaw Adu-Gyamfi:
Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8. CoRR abs/2304.08256 (2023) - [i16]Armstrong Aboah, Ulas Bagci, Abdul Rashid Mussah, Neema Jakisa Owor, Yaw Adu-Gyamfi:
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos. CoRR abs/2304.08261 (2023) - [i15]Abdul Rashid Mussah, Maged Shoman, Mark Amo-Boateng, Yaw Adu-Gyamfi:
Accelerating Statewide Connected Vehicles Big (Sensor Fusion) Data ETL Pipelines on GPUs. CoRR abs/2305.07454 (2023) - [i14]Kojo Konadu Adu-Gyamfi, Karo Ahmadi-Dehrashid, Yaw Okyere Adu-Gyamfi, Pujitha Gunaratne, Anuj Sharma:
MobiScout: A Scalable Cloud-Based Driving and Activity Monitoring Platform Featuring an IOS App and a WatchOS Extension. CoRR abs/2308.05698 (2023) - [i13]Abdulateef Daud, Mark Amo-Boateng, Neema Jakisa Owor, Armstrong Aboah, Yaw Adu-Gyamfi:
Edge Computing-Enabled Road Condition Monitoring: System Development and Evaluation. CoRR abs/2310.05321 (2023) - [i12]Neema Jakisa Owor, Hang Du, Abdulateef Daud, Armstrong Aboah, Yaw Adu-Gyamfi:
Image2PCI - A Multitask Learning Framework for Estimating Pavement Condition Indices Directly from Images. CoRR abs/2310.08538 (2023) - 2022
- [j5]Maged Shoman, Mark Amo-Boateng, Yaw Adu-Gyamfi:
Multi-Purpose, Multi-Step Deep Learning Framework for Network-Level Traffic Flow Prediction. Adv. Data Sci. Adapt. Anal. 14(3&4): 2250010:1-2250010:28 (2022) - [j4]Jiyang Wang, Weiheng Chai, Archana Venkatachalapathy, Kai Liang Tan, Arya Haghighat, Senem Velipasalar, Yaw Adu-Gyamfi, Anuj Sharma:
A Survey on Driver Behavior Analysis From In-Vehicle Cameras. IEEE Trans. Intell. Transp. Syst. 23(8): 10186-10209 (2022) - [c4]Maged Shoman, Armstrong Aboah, Alex Morehead, Ye Duan, Abdulateef Daud, Yaw Adu-Gyamfi:
A Region-Based Deep Learning Approach to Automated Retail Checkout. CVPR Workshops 2022: 3209-3214 - [i11]Maged Shoman, Armstrong Aboah, Alex Morehead, Ye Duan, Abdulateef Daud, Yaw Adu-Gyamfi:
A Region-Based Deep Learning Approach to Automated Retail Checkout. CoRR abs/2204.08584 (2022) - [i10]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, Robert Spragg, Matthew Corrigan, Jack Youtchef, Dave Eshan:
The 1st Data Science for Pavements Challenge. CoRR abs/2206.04874 (2022) - [i9]Armstrong Aboah, Yaw Adu-Gyamfi, Senem Velipasalar Gursoy, Jennifer Merickel, Matthew Rizzo, Anuj Sharma:
Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification. CoRR abs/2211.06463 (2022) - [i8]Maged Shoman, Armstrong Aboah, Abdulateef Daud, Yaw Adu-Gyamfi:
GC-GRU-N for Traffic Prediction using Loop Detector Data. CoRR abs/2211.08541 (2022) - 2021
- [i7]Armstrong Aboah, Maged Shoman, Vishal Mandal, Sayedomidreza Davami, Yaw Adu-Gyamfi, Anuj Sharma:
A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees. CoRR abs/2104.06856 (2021) - [i6]Armstrong Aboah, Michael Boeding, Yaw Adu-Gyamfi:
Mobile Sensing for Multipurpose Applications in Transportation. CoRR abs/2106.10733 (2021) - 2020
- [j3]Armstrong Aboah, Yaw Adu-Gyamfi:
Smartphone-Based Pavement Roughness Estimation Using Deep Learning with Entity Embedding. Adv. Data Sci. Adapt. Anal. 12(3-4): 2050007:1-2050007:20 (2020) - [c3]Vishal Mandal, Abdul Rashid Mussah, Yaw Adu-Gyamfi:
Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis. IEEE BigData 2020: 5577-5583 - [i5]Hamed Majidifard, Yaw Adu-Gyamfi, William G. Buttlar:
Deep Machine Learning Approach to Develop a New Asphalt Pavement Condition Index. CoRR abs/2004.13314 (2020) - [i4]Vishal Mandal, Yaw Adu-Gyamfi:
Object Detection and Tracking Algorithms for Vehicle Counting: A Comparative Analysis. CoRR abs/2007.16198 (2020) - [i3]Vishal Mandal, Abdul Rashid Mussah, Peng Jin, Yaw Adu-Gyamfi:
Artificial Intelligence Enabled Traffic Monitoring System. CoRR abs/2010.01217 (2020) - [i2]Vishal Mandal, Abdul Rashid Mussah, Yaw Adu-Gyamfi:
Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis. CoRR abs/2010.10681 (2020)
2010 – 2019
- 2019
- [i1]Hamed Majidifard, Peng Jin, Yaw Adu-Gyamfi, William G. Buttlar:
PID: A New Benchmark Dataset to Classify and Densify Pavement Distresses. CoRR abs/1910.11123 (2019) - 2018
- [c2]Vishal Mandal, Lan Uong, Yaw Adu-Gyamfi:
Automated Road Crack Detection Using Deep Convolutional Neural Networks. IEEE BigData 2018: 5212-5215 - 2015
- [c1]Yaw Adu-Gyamfi, Anuj Sharma, Skylar Knickerbocker, Neal Hawkins, Michael Jackson:
Reliability of Probe Speed Data for Detecting Congestion Trends. ITSC 2015: 2243-2249 - 2012
- [j2]Yaw Adu-Gyamfi, Nii O. Attoh-Okine, Gonzalo J. Garateguy, Rafael E. Carrillo, Gonzalo R. Arce:
Multiresolution Information Mining for Pavement Crack Image Analysis. J. Comput. Civ. Eng. 26(6): 741-749 (2012) - 2010
- [j1]Yaw Adu-Gyamfi, Nii O. Attoh-Okine, Albert Y. Ayenu-Prah:
Critical Analysis of Different Hilbert-Huang Algorithms for Pavement Profile Evaluation. J. Comput. Civ. Eng. 24(6): 514-524 (2010)
Coauthor Index
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