화학공학소재연구정보센터
검색결과 : 3,289건
No. Article
1 Removal efficiency optimization of Pb2+ in a nanofiltration process by MLP-ANN and RSM
Emami MRS, Amiri MK, Zaferani SPG
Korean Journal of Chemical Engineering, 38(2), 316, 2021
2 Comparisons of single-phase and two-phase models for numerical predictions of Al2O3/water nanofluids convective heat transfer
Ying ZP, He BS, He D, Kuang YC, Ren J, Song B
Advanced Powder Technology, 31(7), 3050, 2020
3 증류공정 내부 온도 예측을 위한 머신 러닝 모델 개발
권혁원, 오광철, 정용철, 조형태, 김정환
Applied Chemistry for Engineering, 31(5), 520, 2020
4 Berberine ameliorates colonic damage accompanied with the modulation of dysfunctional bacteria and functions in ulcerative colitis rats
Liao ZQ, Xie YZ, Zhou BJ, Zou BR, Xiao D, Liu W, Cai Y, Liu DL, Liao QF, Xie ZY
Applied Microbiology and Biotechnology, 104(4), 1737, 2020
5 Malaria: Paving the way to developing peptide-based vaccines against invasion in infectious diseases
Reyes C, Molina-Franky J, Aza-Conde J, Suarez CF, Pabon L, Moreno-Vranich A, Patarroyo MA, Patarroyo ME
Biochemical and Biophysical Research Communications, 527(4), 1021, 2020
6 Making sense of parameter estimation and model simulation in bioprocesses
Sadino-Riquelme MC, Rivas J, Jeison D, Hayes RE, Donoso-Bravo A
Biotechnology and Bioengineering, 117(5), 1357, 2020
7 Evolving an Accurate Decision Tree-Based Model for Predicting Carbon Dioxide Solubility in Polymers
Soleimani R, Dehaghani AHS, Rezai-Yazdi A, Hosseini SA, Hosseini SP, Bahadori A
Chemical Engineering & Technology, 43(3), 514, 2020
8 Neural network modeling based double-population chaotic accelerated particle swarm optimization and diffusion theory for solubility prediction
Li MS, Lian SY, Wang F, Zhou YY, Chen BS, Guan LX, Wu Y
Chemical Engineering Research & Design, 155, 98, 2020
9 New prognosis approach for preventive and predictive maintenance - Application to a distillation column
Daher A, Hoblos G, Khalil M, Chetouani Y
Chemical Engineering Research & Design, 153, 162, 2020
10 Gaussian process regression with heteroscedastic noises - A machine-learning predictive variance approach
Li ZX, Hong XD, Hao KR, Chen L, Huang B
Chemical Engineering Research & Design, 157, 162, 2020