| Issue |
| Total 36 articles [ 키워드: Prediction ] |
| No. | Article |
| 1 |
Korean Journal of Chemical Engineering, 40 (9), pp.2334-2341 (2023) Automated paint coating using two consecutive images with CNN regression Byoung Chul Kim, Jin Whan Park, Young Han Kim |
| 2 |
Korean Journal of Chemical Engineering, 40 (8), pp.1850-1862 (2023) Feature construction for on-board early prediction of electric vehicle battery cycle life Junseop Shin, Yeonsoo Kim, Jong Min Lee |
| 3 |
Korean Journal of Chemical Engineering, 40 (6), pp.1284-1296 (2023) Multiple linear regression and GRU model for the online prediction of catalyst activity and lifetime in counter-current continuous catalytic reforming Yongbeom Shin, Myeongnam Park, Jaewook Lee, et al. |
| 4 |
Korean Journal of Chemical Engineering, 40 (1), pp.57-66 (2023) A deep learning approach using temporal-spatial data of computational fluid dynamics for fast property prediction of gas-solid fluidized bed Qin P, Xia Z, Guo L |
| 5 |
Korean Journal of Chemical Engineering, 39 (10), pp.2875-2882 (2022) Prediction of defluidization behavior using particle apparent viscosity An Z, Wang H, Zhang Y |
| 6 |
Korean Journal of Chemical Engineering, 39 (6), pp.1478-1486 (2022) Pyrolysis characteristics and quantitative kinetic model of microalgae Tetralselmis sp. Vo TK, Kim SS, Kim JS |
| 7 |
Korean Journal of Chemical Engineering, 38 (10), pp.1983-2002 (2021) Deep-learning modeling and control optimization framework for intelligent thermal power plants: A practice on superheated steam temperature Wang Q, Pan L, Lee KY, et al. |
| 8 |
Korean Journal of Chemical Engineering, 38 (10), pp.2122-2128 (2021) Real-time life and degradation prediction of ceramic filter tube based on state-space model Liu L |
| 9 |
Korean Journal of Chemical Engineering, 38 (9), pp.1781-1790 (2021) Prediction of gas holdup in various types of airlift reactors Choi KH |
| 10 |
Korean Journal of Chemical Engineering, 38 (2), pp.316-325 (2021) Removal efficiency optimization of Pb2+ in a nanofiltration process by MLP-ANN and RSM Emami MRS, Amiri MK, Zaferani SPG |
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