Unbiased heterogeneous scene graph generation with relation-aware message passing neural network K Yoon, K Kim, J Moon, C Park Proceedings of the AAAI Conference on Artificial Intelligence 37 (3), 3285-3294, 2023 | 27 | 2023 |
Willingness to pay for improved water supply services based on asset management: A contingent valuation study in South Korea T Kim, J Shin, J Hyung, K Kim, J Koo, YK Cha Water 13 (15), 2040, 2021 | 24 | 2021 |
Economic-based approach for predicting optimal water pipe renewal period based on risk and failure rate K Kim, J Seo, J Hyung, T Kim, J Kim, J Koo Environmental Engineering Research 24 (1), 63-73, 2019 | 20 | 2019 |
Development of a short-term water quality prediction model for urban rivers using real-time water quality data JH Lee, JY Lee, MH Lee, MY Lee, YW Kim, JS Hyung, KB Kim, YK Cha, ... Water Supply 22 (4), 4082-4097, 2022 | 19 | 2022 |
A study on the probability of failure model based on the safety factor for risk assessment in a water supply network J Seo, M Koo, K Kim, J Koo Procedia Engineering 119, 206-215, 2015 | 17 | 2015 |
Yeonjun In, Jinyoung Moon, Donghyun Kim, and Chanyoung Park K Kim, K Yoon, J Jeon Llm4sgg: Large language model for weakly supervised scene graph generation …, 2023 | 7 | 2023 |
Weak guidance with “Look” functionality in handheld-based classroom activities K Kim, DG Tatar Computer Supported Collaborative Learning 2005, 296-300, 2017 | 7 | 2017 |
Self-Guided Robust Graph Structure Refinement Y In, K Yoon, K Kim, K Shin, C Park Proceedings of the ACM on Web Conference 2024, 697-708, 2024 | 6 | 2024 |
Influencing factors analysis for drinking water steel pipe pitting corrosion using artificial neural network K Kim, H Kang, T Kim, DT Iseley, J Choi, J Koo Urban Water Journal 20 (5), 550-563, 2023 | 6 | 2023 |
Adaptive Self-training Framework for Fine-grained Scene Graph Generation K Kim, K Yoon, Y In, J Moon, D Kim, C Park arXiv preprint arXiv:2401.09786, 2024 | 5 | 2024 |
LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation K Kim, K Yoon, J Jeon, Y In, J Moon, D Kim, C Park Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
Integrated water suspension risk assessment using fault tree analysis and genetic algorithm in water supply systems T Kim, K Kim, J Hyung, J Koo Desalin Water Treat 227, 104-115, 2021 | 5 | 2021 |
Optimization model for location and operation schedule of chlorine booster stations in water distribution networks J Seo, K Kim, J Hyung, T Kim, J Koo Desalination Water Treat 140, 91-102, 2019 | 5 | 2019 |
Optimal water intake and supply pump scheduling considering water quality safety in multiple water intake system J Hyung, J Seo, K Kim, T Kim, J Koo Desalination Water Treat 182, 49-60, 2020 | 4 | 2020 |
The leak signal characteristics and estimation of the leak location on water pipeline S Park, K Kim, J Seo, J Kim, J Koo Journal of Korean Society of Water and Wastewater 32 (5), 461-470, 2018 | 4 | 2018 |
The developing optimum maintenance cost model for water pipe network by waterworks business characteristics K Kim, C Kim, H Shin, J Seo, J Hyung, J Koo Journal of Korean Society of Water and Wastewater 31 (1), 51-62, 2017 | 4 | 2017 |
Development of an optimal operation model of residual chlorine concentration in water supply system K Kim, J Hyung, J Seo, H Shin, J Koo Journal of Korean Society of Water and Wastewater 31 (6), 587-597, 2017 | 4 | 2017 |
Decision-making for the hazard ranking of water distribution networks using the TOPSIS method HK Park, KB Kim, JS Hyung, TH Kim, JY Koo Water Supply 23 (2), 715-726, 2023 | 3 | 2023 |
Optimal local water resource diversification model for drought vulnerability reduction in water supply system T Kim, J Seo, K Kim, J Hyung, J Koo Desalination and Water Treatment 181, 38-48, 2020 | 3 | 2020 |
Removal characteristics of geosmin by advanced water treatment processes: A case study around the Han River, Republic of Korea JW Seo, YS Kim, KB Kim, MC Kim, SH Park, JY Koo Desalination Water Treat 157, 177-194, 2019 | 3 | 2019 |