| Automated detection of faults in sewers using CCTV image sequences J Myrans, R Everson, Z Kapelan Automation in Construction 95, 64-71, 2018 | 51 | 2018 |
| Automated detection of faults in wastewater pipes from CCTV footage by using random forests J Myrans, Z Kapelan, R Everson Procedia engineering 154, 36-41, 2016 | 42 | 2016 |
| Automated detection of fault types in CCTV sewer surveys J Myrans, R Everson, Z Kapelan Journal of Hydroinformatics 21 (1), 153-163, 2019 | 37 | 2019 |
| Using Automatic Anomaly Detection to Identify Faults in Sewers:(027) J Myrans, Z Kapelan, R Everson WDSA/CCWI Joint Conference Proceedings 1, 2018 | 8 | 2018 |
| Combining classifiers to detect faults in wastewater networks J Myrans, Z Kapelan, R Everson Water Science and Technology 77 (9), 2184-2189, 2018 | 6 | 2018 |
| Automatic identification of sewer fault types using CCTV footage J Myrans, Z Kapelan, R Everson EPiC Ser. Eng 3, 1478-1485, 2018 | 5 | 2018 |
| Using Support Vector Machines to identify faults in sewer pipes from CCTV surveys J Myrans, Z Kapelan, R Everson, J Britton CCWI 2016, electronic proceedings, 2016 | 5 | 2016 |
| Automatic detection of sewer faults using continuous CCTV footage J Myrans, Z Kapelan, R Everson Computing & Control for the Water Industry, 2017 | 4 | 2017 |
| Automated analysis of sewer CCTV surveys J Myrans PQDT-UK & Ireland, 2018 | 2 | 2018 |
| MACHINE LEARNING APPLICATIONS IN SEWER SYSTEMS J MYRANS, F ZHEN, Z KAPELAN | | |
Zoran KapelanChair and Professor of Urban Water InfrastructureVerified email at tudelft.nl
