| Comparison of imputation methods for end-user demands in water distribution systems S Jun, D Jung, KE Lansey Journal of Water Resources Planning and Management 147 (12), 04021080, 2021 | 22 | 2021 |
| Convolutional neural network for burst detection in smart water distribution systems S Jun, KE Lansey Water Resources Management 37 (9), 3729-3743, 2023 | 12 | 2023 |
| Water Research X S Jun, D Jung, K Lansey | 12 | 2003 |
| Ensemble CNN model for effective pipe burst detection in water distribution systems S Kim, S Jun, D Jung Water Resources Management 36 (13), 5049-5061, 2022 | 10 | 2022 |
| Comparison of AMI and SCADA systems for leak detection and localization in water distribution networks S Jun, KE Lansey Journal of Water Resources Planning and Management 149 (11), 04023061, 2023 | 9 | 2023 |
| Response surfaces for water distribution system pipe roughness calibration S Jun, G Arbesser-Rastburg, D Fuchs-Hanusch, K Lansey Journal of Water Resources Planning and Management 148 (3), 04021105, 2022 | 8 | 2022 |
| Linear programming models for leak detection and localization in water distribution networks S Jun, KE Lansey Journal of Water Resources Planning and Management 149 (5), 04023017, 2023 | 6 | 2023 |
| Comparison of ANN model's prediction performance according to the level of data uncertainty in water distribution network H Jang, D Jung, S Jun Journal of Korea Water Resources Association 55 (spc1), 1295-1303, 2022 | 4 | 2022 |
| A review of ground camera-based computer vision techniques for flood management S Jun, H Jang, S Kim, J Lee, D Jung Computers and Concrete 33 (4), 425-443, 2024 | 3 | 2024 |
| Data generation approaches to detect abnormal conditions in water distribution systems 상훈전， 영환최 Journal of The Korean Society of Hazard Mitigation 22 (2), 69-79, 2022 | 3 | 2022 |
| Copycat harmony search: considering poor music player’s followship toward good player SH Jun, YH Choi, D Jung, JH Kim Harmony Search and Nature Inspired Optimization Algorithms: Theory and …, 2018 | 3 | 2018 |
| Water distribution burst detection and localization using advanced metering infrastructure data collection systems S Jun The University of Arizona, 2022 | 2 | 2022 |
| Three-dimensional convolutional neural network for leak detection and localization in smart water distribution systems S Jun, D Jung, K Lansey Water Research X 25, 100264, 2024 | 1 | 2024 |
| Development of a Water Quality Event Detection and Diagnosis Framework in Drinking Water Distribution Systems with Structured and Unstructured Data Integration T Kim, D Jung, DG Yoo, S Hong, S Jun, JH Kim Energies 15 (24), 9300, 2022 | 1 | 2022 |
| A study on the practical use of smart meter end-user demand data G Park, D Jung, S Jun Journal of Korea Water Resources Association 54 (10), 759-768, 2021 | 1 | 2021 |
| 최신 딥러닝 알고리즘: 토목공학 적용 사례를 중심으로 전상훈， 정동휘， 김중훈， 케빈， 랜지 대한토목학회지 67 (12), 90-94, 2019 | 1 | 2019 |
| The extraordinary particle swarm optimization and its application in constrained engineering problems TT Ngo, A Sadollah, DG Yoo, YM Choo, SH Jun, JH Kim Harmony Search Algorithm: Proceedings of the 3rd International Conference on …, 2017 | 1 | 2017 |
| Sensitivity Analysis of Image Augmentation Methods to Improve Flooded Area Detection Performance SW Kim, SH Kwon, S Jun, D Jung EGU General Assembly Conference Abstracts, 18287, 2024 | | 2024 |
| Multidimensional data generation of water distribution systems using adversarially trained autoencoder. S Kim, S Jun, D Jung | | 2023 |
| Development of Copycat Harmony Search: Adapting Copycat Scheme for the Improvement of Optimization Performance SH Jun, YH Choi, D Jung, JH Kim Journal of the Korea Academia-Industrial cooperation Society 19 (9), 304-315, 2018 | | 2018 |
Donghwi JungAssociate Prof., School of Civil, Environmental and Architectural Engineering, Korea UniversityBestätigte E-Mail-Adresse bei korea.ac.kr
