Browse "Dept. of Chemical and Biomolecular Engineering(생명화학공학과)" by Subject Deep learning
Showing results 1 to 5 of 5
| Deep learning enables accurate analysis of images generated from droplet-based digital polymerase chain reaction (dPCR) Song, Younseong; Lim, Seongjin; Kim, Yong Tae; Park, Yoo Min; Jo, Da Ae; Bae, Nam Ho; Lee, Seok Jae; et al, SENSORS AND ACTUATORS B-CHEMICAL, v.379, 2023-03 |
| Deep learning for metabolic pathway design Ryu, Gahyeon; Kim, Gi Bae; Yu, Taeho; Lee, Sang Yup, METABOLIC ENGINEERING, v.80, pp.130 - 141, 2023-11 |
| Fault detection and classification using artificial neural networks Heo, S.; Lee, Jay Hyung, IFAC-PapersOnLine, v.51, no.18, pp.470 - 475, 2018-01 |
| Machine learning: Overview of the recent progresses and implications for the process systems engineering field Lee, Jay Hyung; Shin, Joohyun; Realff, Matthew J., COMPUTERS & CHEMICAL ENGINEERING, v.114, pp.111 - 121, 2018-06 |
| Predicting the effects of cultivation condition on gene regulation in Escherichia coli by using deep learning Kwon, Mun Su; Adidjaja, Joshua Julio; Kim, Hyun Uk, COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, v.21, pp.2613 - 2620, 2023-04 |
Discover
Open Access
Date issued
- 3,666 2020 - 2024
- 9,809 2010 - 2019
- 6,774 2000 - 2009
- 4,146 1990 - 1999
- 1,243 1980 - 1989