| Automated road crack detection using deep convolutional neural networks V Mandal, L Uong, Y Adu-Gyamfi 2018 IEEE International Conference on Big Data (Big Data), 5212-5215, 2018 | 246 | 2018 |
| Deep machine learning approach to develop a new asphalt pavement condition index H Majidifard, Y Adu-Gyamfi, WG Buttlar Construction and building materials 247, 118513, 2020 | 209 | 2020 |
| Pavement image datasets: A new benchmark dataset to classify and densify pavement distresses H Majidifard, P Jin, Y Adu-Gyamfi, WG Buttlar Transportation Research Record 2674 (2), 328-339, 2020 | 154 | 2020 |
| Traffic congestion detection from camera images using deep convolution neural networks P Chakraborty, YO Adu-Gyamfi, S Poddar, V Ahsani, A Sharma, S Sarkar Transportation Research Record 2672 (45), 222-231, 2018 | 146 | 2018 |
| Real-time multi-class helmet violation detection using few-shot data sampling technique and yolov8 A Aboah, B Wang, U Bagci, Y Adu-Gyamfi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 142 | 2023 |
| A vision-based system for traffic anomaly detection using deep learning and decision trees A Aboah Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 104 | 2021 |
| Automated vehicle recognition with deep convolutional neural networks YO Adu-Gyamfi, SK Asare, A Sharma, T Titus Transportation Research Record 2645 (1), 113-122, 2017 | 80 | 2017 |
| Deep learning frameworks for pavement distress classification: A comparative analysis V Mandal, AR Mussah, Y Adu-Gyamfi 2020 IEEE International Conference on Big Data (Big Data), 5577-5583, 2020 | 74 | 2020 |
| Artificial intelligence-enabled traffic monitoring system V Mandal, AR Mussah, P Jin, Y Adu-Gyamfi Sustainability 12 (21), 9177, 2020 | 68 | 2020 |
| Object detection and tracking algorithms for vehicle counting: a comparative analysis V Mandal, Y Adu-Gyamfi Journal of big data analytics in transportation 2 (3), 251-261, 2020 | 66 | 2020 |
| Indigenous beliefs and practices in ecosystem conservation: Response of the church: Church and environment Y Adu-Gyamfi Scriptura: Journal for Contextual Hermeneutics in Southern Africa 107 (1 …, 2011 | 66 | 2011 |
| A survey on driver behavior analysis from in-vehicle cameras J Wang, W Chai, A Venkatachalapathy, KL Tan, A Haghighat, ... IEEE Transactions on Intelligent Transportation Systems 23 (8), 10186-10209, 2021 | 59 | 2021 |
| Synthesis of national and international methodologies used for bridge health indices SB Chase, Y Adu-Gyamfi, AE Aktan, E Minaie United States. Federal Highway Administration, 2016 | 54 | 2016 |
| Multiresolution information mining for pavement crack image analysis YO Adu-Gyamfi, NOA Okine, G Garateguy, R Carrillo, GR Arce Journal of Computing in Civil Engineering 26 (6), 741-749, 2012 | 42 | 2012 |
| Smartphone-based pavement roughness estimation using deep learning with entity embedding A Aboah, Y Adu-Gyamfi Advances in Data Science and Adaptive Analysis 12 (03n04), 2050007, 2020 | 29 | 2020 |
| A region-based deep learning approach to automated retail checkout M Shoman, A Aboah, A Morehead, Y Duan, A Daud, Y Adu-Gyamfi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 27 | 2022 |
| Deep learning framework for predicting bus delays on multiple routes using heterogenous datasets M Shoman, A Aboah, Y Adu-Gyamfi Journal of Big Data Analytics in Transportation 2, 275-290, 2020 | 26 | 2020 |
| Framework for evaluating the reliability of wide-area probe data YO Adu-Gyamfi, A Sharma, S Knickerbocker, N Hawkins, M Jackson Transportation Research Record 2643 (1), 93-104, 2017 | 25 | 2017 |
| Functional evaluation of pavement condition using a complete vision system YO Adu-Gyamfi, T Tienaah, NO Attoh-Okine, C Kambhamettu Journal of Transportation Engineering 140 (9), 04014040, 2014 | 20 | 2014 |
| Reliability of probe speed data for detecting congestion trends Y Adu-Gyamfi, A Sharma, S Knickerbocker, N Hawkins, M Jackson 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 19 | 2015 |
N Attoh-OkineProfessor, Civil and Environmental Eng., University of Delaware, Newark, DEVerified email at udel.edu
