| Underground sewer pipe condition assessment based on convolutional neural networks SI Hassan, LM Dang, I Mehmood, S Im, C Choi, J Kang, YS Park, H Moon Automation in Construction 106, 102849, 2019 | 133 | 2019 |
| Deep convolutional neural network for classifying Fusarium wilt of radish from unmanned aerial vehicles JG Ha, H Moon, JT Kwak, SI Hassan, M Dang, ON Lee, HY Park Journal of Applied Remote Sensing 11 (4), 042621-042621, 2017 | 117 | 2017 |
| Face image manipulation detection based on a convolutional neural network LM Dang, SI Hassan, S Im, H Moon Expert Systems with Applications 129, 156-168, 2019 | 103 | 2019 |
| UAV based wilt detection system via convolutional neural networks LM Dang, SI Hassan, I Suhyeon, A kumar Sangaiah, I Mehmood, S Rho, ... Sustainable Computing: Informatics and Systems 28, 100250, 2020 | 66 | 2020 |
| Deep learning based computer generated face identification using convolutional neural network LM Dang, SI Hassan, S Im, J Lee, S Lee, H Moon Applied Sciences 8 (12), 2610, 2018 | 61 | 2018 |
| Utilizing text recognition for the defects extraction in sewers CCTV inspection videos LM Dang, SI Hassan, S Im, I Mehmood, H Moon Computers in Industry 99, 96-109, 2018 | 49 | 2018 |
| Damage detection and classification system for sewer inspection using convolutional neural networks based on deep learning SI Hassan, LM Dang, S Im, K Min, J Nam, H Moon Journal of the Korea Institute of Information and Communication Engineering …, 2018 | 16 | 2018 |
| Pothole detection under diverse conditions using object detection models IH Syed, D O'Sullivan, S Mckeever Technological University Dublin, 2021 | 10 | 2021 |
| Detecting patches on road pavement images acquired with 3D laser sensors using object detection and deep learning SI Hassan, D O'Sullivan, S McKeever, K Feighan, D Power, R McGowan Technological University Dublin, 2022 | 8 | 2022 |
| Suhyeon Im, Jaecheol Lee, Sujin Lee, and Hyeonjoon Moon. Deep learning based computer generated face identification using convolutional neural network LM Dang, SI Hassan Applied Sciences 8 (12), 2610, 2018 | 8 | 2018 |
| An exploration of recent intelligent image analysis techniques for visual pavement surface condition assessment WS Qureshi, SI Hassan, S McKeever, D Power, B Mulry, K Feighan, ... Sensors 22 (22), 9019, 2022 | 7 | 2022 |
| Analysis of fusarium wilt based on normalized difference vegetation index for radish field images from unmanned aerial vehicle SH Im, SI Hassan, DL Minh, KB Min, H Moon The Transactions of the Korean Institute of Electrical Engineers 67 (10 …, 2018 | 6 | 2018 |
| Suhyeon Im, Changho Choi, Jaemo Kang, Young-Soo Park, and Hyeonjoon Moon. Underground sewer pipe condition assessment based on convolutional neural networks SI Hassan, LM Dang, I Mehmood Automation in Construction 106 (102849), 3-4, 2019 | 5 | 2019 |
| Let the deaf understand: Mainstreaming the marginalized in context with personalized digital media services and social needs I Mehmood, T Hussain, I Hassan, S Rho, M Sajjad 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2017 | 5 | 2017 |
| Semantic segmentation of sheep organs by convolutional neural networks SI Hassan, M Stommel, A Lowe, Q Zhang, W Xu 2019 International Conference on Image and Vision Computing New Zealand …, 2019 | 3 | 2019 |
L. Minh DangSejong UniversityVerified email at sejong.ac.kr
L. Minh DangSejong UniversityVerified email at sejong.ac.kr