| Ubiquitous learning environment: An adaptive teaching system using ubiquitous technology V Jones, JH Jo Beyond the comfort zone: Proceedings of the 21st ASCILITE Conference 468, 474, 2004 | 524 | 2004 |
| Comparative study on the educational use of home robots for children JH Han, MH Jo, V Jones, JH Jo Journal of Information Processing Systems 4 (4), 159-168, 2008 | 271 | 2008 |
| Space layout planning using an evolutionary approach JH Jo, JS Gero Artificial intelligence in Engineering 12 (3), 149-162, 1998 | 249 | 1998 |
| Towards UAV-based bridge inspection systems: A review and an application perspective B Chan, H Guan, J Jo, M Blumenstein Structural Monitoring and Maintenance 2 (3), 283-300, 2015 | 143 | 2015 |
| Future Schools and How Technology can be used to support Millennial and Generation-Z Students V Jones, J Jo, P Martin ICUT 2007 (Proc. B), 1st Int. Conf. Ubiquitous Information Technology 12, 14, 2007 | 138 | 2007 |
| Ubiquitous robot: A new paradigm for integrated services JH Kim, KH Lee, YD Kim, NS Kuppuswamy, J Jo Proceedings 2007 IEEE international conference on robotics and automation …, 2007 | 108 | 2007 |
| Monitoring agriculture areas with satellite images and deep learning TT Nguyen, TD Hoang, MT Pham, TT Vu, TH Nguyen, QT Huynh, J Jo Applied Soft Computing 95, 106565, 2020 | 101 | 2020 |
| Crack detection using a texture analysis-based technique for visual bridge inspection GP Bu, S Chanda, H Guan, J Jo, M Blumenstein, YC Loo Electronic Journal of Structural Engineering 14 (1), 41-48, 2015 | 64 | 2015 |
| A comprehensive review of deep learning-based crack detection approaches Y Hamishebahar, H Guan, S So, J Jo Applied Sciences 12 (3), 1374, 2022 | 60 | 2022 |
| Defining a conceptual framework for the integration of modelling and advanced imaging for improving the reliability and efficiency of bridge assessments B Chan, H Guan, L Hou, J Jo, M Blumenstein, J Wang Journal of civil structural health monitoring 6, 703-714, 2016 | 58 | 2016 |
| Heart rate prediction based on physical activity using feedforwad neural network M Yuchi, J Jo 2008 International Conference on Convergence and Hybrid Information …, 2008 | 49 | 2008 |
| Automatic bridge crack detection–a texture analysis-based approach S Chanda, G Bu, H Guan, J Jo, U Pal, YC Loo, M Blumenstein Artificial Neural Networks in Pattern Recognition: 6th IAPR TC 3 …, 2014 | 48 | 2014 |
| Heart rate prediction model based on physical activities using evolutionary neural network F Xiao, Y Chen, M Yuchi, M Ding, J Jo 2010 Fourth International Conference on Genetic and Evolutionary Computing …, 2010 | 48 | 2010 |
| Academic directions of multimedia education R Gonzalez, G Cranitch, J Jo Communications of the ACM 43 (1), 89-95, 2000 | 47 | 2000 |
| A deep learning approach for early wildfire detection from hyperspectral satellite images NT Toan, PT Cong, NQV Hung, J Jo 2019 7th International Conference on Robot Intelligence Technology and …, 2019 | 46 | 2019 |
| Detectivity analysis for organic photodetectors IK Kim, JH Jo, JB Lee, YJ Choi Organic Electronics 57, 89-92, 2018 | 40 | 2018 |
| Judo: Just-in-time rumour detection in streaming social platforms TT Nguyen, TT Nguyen, TT Nguyen, B Vo, J Jo, QVH Nguyen Information Sciences 570, 70-93, 2021 | 39 | 2021 |
| Adaptive regions of interest based on HSV histograms for lane marks detection VS Bottazzi, PVK Borges, B Stantic, J Jo Robot Intelligence Technology and Applications 2: Results from the 2nd …, 2014 | 39 | 2014 |
| A high precision crack classification system using multi-layered image processing and deep belief learning J Jo, Z Jadidi Structure and infrastructure engineering 16 (2), 297-305, 2020 | 28 | 2020 |
| A genetic search approach to space layout planning JH Jo, JS Gero Architectural Science Review 38 (1), 37-46, 1995 | 26 | 1995 |
