| Coagulant dosage determination using deep learning-based graph attention multivariate time series forecasting model S Lin, J Kim, C Hua, MH Park, S Kang Water Research 232, 119665, 2023 | 12 | 2023 |
| Comparing artificial and deep neural network models for prediction of coagulant amount and settled water turbidity: Lessons learned from big data in water treatment operations S Lin, J Kim, C Hua, S Kang, MH Park Journal of Water Process Engineering 54, 103949, 2023 | 10 | 2023 |
| How the death-themed game spiritfarer can help players cope with the loss of a loved one K Eum, V Erb, S Lin, S Wang, YY Doh Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing …, 2021 | 8 | 2021 |
| District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images S Lin, V Ramani, M Martin, P Arjunan, A Chong, F Biljecki, M Ignatius, ... Scientific Data 10 (1), 859, 2023 | 3 | 2023 |
| Optimizing coagulant dosage using deep learning models with large-scale data J Kim, C Hua, K Kim, S Lin, G Oh, MH Park, S Kang Chemosphere 350, 140989, 2024 | 1 | 2024 |
Chuanbo HuaPh.D. Candidate, Department of Industry and System Engineering, KAIST在 kaist.ac.kr 的电子邮件经过验证
