| 1 |
Determination of bubble sizes in bubble column reactors with machine learning regression methods
Thesseling C, Grunewald M, Biessey P
Chemical Engineering Research & Design, 163, 47, 2020 |
| 2 |
Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network
He YY, Qin Y, Wang S, Wang X, Wang C
Applied Energy, 233, 565, 2019 |
| 3 |
Lassomycin and lariatin lasso peptides as suitable antibiotics for combating mycobacterial infections: current state of biosynthesis and perspectives for production
Zhu SZ, Su Y, Shams S, Feng Y, Tong YG, Zheng GJ
Applied Microbiology and Biotechnology, 103(10), 3931, 2019 |
| 4 |
Discovery and characterization of a novel C-terminal peptide carboxyl methyltransferase in a lassomycin-like lasso peptide biosynthetic pathway
Su Y, Han M, Meng XB, Feng Y, Luo SZ, Yu CY, Zheng GJ, Zhu SZ
Applied Microbiology and Biotechnology, 103(6), 2649, 2019 |
| 5 |
Using correlation based adaptive LASSO algorithm to develop QSPR of antitumour agents for DNA-drug binding prediction
Datta S, Dev VA, Eden MR
Computers & Chemical Engineering, 122, 258, 2019 |
| 6 |
Process fault diagnosis via the integrated use of graphical lasso and Markov random fields learning & inference
Kim C, Lee H, Lee WB
Computers & Chemical Engineering, 125, 460, 2019 |
| 7 |
Short- to Mid-term Day-Ahead Electricity Price Forecasting Using Futures
Steinert R, Ziel F
Energy Journal, 40(1), 105, 2019 |
| 8 |
Short term electricity demand forecasting using partially linear additive quantile regression with an application to the unit commitment problem
Lebotsa ME, Sigauke C, Bere A, Fildes R, Boylan JE
Applied Energy, 222, 104, 2018 |
| 9 |
Harvest time prediction for batch processes
Spooner M, Kold D, Kulahci M
Computers & Chemical Engineering, 117, 32, 2018 |
| 10 |
The determinants of residential energy expenditure in Italy
Besagni G, Borgarello M
Energy, 165, 369, 2018 |
