Browse "Dept. of Chemical and Biomolecular Engineering(생명화학공학과)" by Type Conference
Showing results 2321 to 2340 of 13331
| Decane reformin greaction on Pt-Ir/NaY catalysts Jin, YW; Woo, Seong-Ihl, 한국화학공학회 추계학술발표회, 한국화학공학회, 1989 |
| Deciphering fermentative metabolism of Mannheimia succiniciproducens MBEL55E by genome-scale constraints-base flux analysis 김태용; Song, H.; 김현욱; Park, J.M.; Lee, SangYup, European BioPerspectives celebrating the 25th DECHEMA annual convention of biotechnologists, European BioPerspectives celebrating the 25th DECHEMA annual convention of biotechnologists, 2007-05-30 |
| Deciphering Metabolic Flux of Mannheimia succiniciproducens MBEL55E by Genome-scale Constrains-based Flux Analysis 김태용; 김현욱; 박종민; Song, H.; Lee, SangYup, 29th symposium on Biotechnology for Fuels and Chemicals, 29th symposium on Biotechnology for Fuels and Chemicals, 2007-04-29 |
| Deciphering the secret of the N-terminal domain of Ralstonia eutropha polyhydroxyalkanoate synthase for the proposed structure and mechanisms of the whole enzyme CHO, INJIN; Kim, YJ; Choi, So Young; Kim, J; Jin, KS; Kim, KJ; Lee, Sang Yup, 2018 KSBB Spring Meeting and International Symposium, The Korean Society for Biotechnology and Bioengineering, 한국생물공학회, 2018-04-19 |
| Decision-Making for Multi-Microgrid Management System Using Alternating Direction Method of Multipliers Han, Dongho; Lee, Jay Hyung, Foundations of Process Analytics and Machine Learning, FOPAM, 2019-08-08 |
| Decision-making for multi-microgrid system based on distributed optimization considering wind and solar uncertainty Han, Dongho; Lee, Jay Hyung, 2019 The 19th International Conference on Control, Automation and Systems (ICCAS 2019), ICROS, 2019-10-17 |
| Decision-making on optimal design and operation of multi-microgrid under uncertainty using two-stage stochastic programming 한동호; 이재형, 한국화학공학회 2021년도 가을 총회 및 학술대회, 한국화학공학회, 2021-10-28 |
| Decomposition of Peracetic Acid after Sterilization of a Microalgal Cultivation System Sung, Min Gyu; Nam, Kibok; 정주영; Kwon, Jong-Hee; Yang, Ji-Won, 2014 KSBB Spring Meeting and International Symposium, pp.391 - 391, KSBB, 2014-04-10 |
| Decorating graphene sheets with α-Ni(OH)2 nanoparticles and their electrochemical properties Kim, Jong Duk; Lee, JW; Ko, LM, The 85nd ACS Colloid and Surface Science Symposium, ACS, 2011-06-20 |
| Decoupling the Role of Reactive Species in Antimicrobial Activity of Graphene Materials via Element Doping Kim, Wantae; Son, JeGoo; Cho, Hyun; Kim, Seung Gyu; Jeon, Jessie Sungyun; Cho, Eun Seon, 13TH KOREA-JAPAN SYMPOSIUM ON MATERIALS AND INTERFACES, The Korean Institute of Chemical Engineers, 2018-11-22 |
| Dedegradation Characteristics of Trichloroethylene with TiO2/SiO2 in Annulus Fluidized Bed Photoreactor 김상돈, Appl. Theor. Chem. Eng., pp.3857 - 3862, 2002 |
| Deep Deterministic Policy Gradient Algorithm for Batch Process Control Yoo, Haeun; Kim, Boeun; Lee, Jay Hyung, Foundations of Process Analytics and Machine Learning, FOPAM, 2019-08-08 |
| Deep learning approach for enzymatic reaction feasibility evaluation 김예지; 류재용; 김현욱; 장우대; 류가현; 이상엽, 2023 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2023-04-14 |
| Deep learning approach for high-quality and high-throughput enzyme commission number prediction 류가현; 이상엽; 류재용; 김현욱, 2022 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2022-04-15 |
| Deep learning based stand-alone program for transcription factor prediction, DeepTFactor 류가현; 이상엽; 김기배; Palsson, Bernhard Orn; Gao, Ye, 2022 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2022-04-15 |
| Deep Learning Enables Prediction of Drug-drug and Drug-food Interactions 김기배; 류재용; 김현욱; 이상엽, 2020년 한국생물공학회 춘계학술발표대회 및 국제심포지엄, 한국생물공학회, 2020-06-26 |
| Deep learning for prediction of drug-drug and drug-food interactions JANG, WOO DAE; Ryu, Jae Yong; Kim, Hyun Uk; Lee, Sang Yup, 한국화학공학회 2019년도 가을 총회 및 학술대회, 한국화학공학회, 2019-10-25 |
| Deep learning-based prediction of drug-drug and drug-food interactions JANG, WOO DAE; Ryu, Jae Yong; Kim, Hyun Uk; Lee, Sang Yup, 2018 KIChE Fall Meeting and International Symposium, The Korean Institute of Chemical Engineers, 한국화학공학회, 2018-10-25 |
| Deep reinforcement learning based finite-horizon optimal control for a discrete-time affine nonlinear system Kim, Jong Woo; Park, Byung Jun; Yoo, Haeun; Lee, Jay Hyung; Lee, Jong Min, 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), pp.567 - 572, IEEE, 2018-09 |
| Deep reinforcement learning based finite-horizon optimal tracking control for nonlinear system Kim, Jong Woo; Park, Byung Jun; Yoo, Haeun; Lee, Jay Hyung; Lee, Jong Min, Joint Meeting of the 2nd IFAC Workshop on Linear Parameter Varying Systems (LPVS) / 9th IFAC Symposium on Robust Control Design (ROCOND), pp.257 - 262, Elsevier BV, 2018-09 |
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