1 |
Relevance of FeoAB system in Rhodanobacter sp. B2A1Ga4 resistance to heavy metals, aluminium, gallium, and indium Caldeira JB, Chung AP, Morais PV, Branco R Applied Microbiology and Biotechnology, 105(8), 3301, 2021 |
2 |
Recent progress in the LC-MS/MS analysis of oxidative stress biomarkers Andries A, Rozenski J, Vermeersch P, Mekahli D, Van Schepdael A Electrophoresis, 42(4), 402, 2021 |
3 |
Online adaptive water management fault diagnosis of PEMFC based on orthogonal linear discriminant analysis and relevance vector machine Zhou SW, Dhupia JS International Journal of Hydrogen Energy, 45(11), 7005, 2020 |
4 |
A novel deep neural network based on randomly occurring distributed delayed PSO algorithm for monitoring the energy produced by four dual-axis solar trackers Jallal MA, Chabaa S, Zeroual A Renewable Energy, 149, 1182, 2020 |
5 |
Ensemble of relevance vector machines and boosted trees for electricity price forecasting Agrawal RK, Muchahary F, Tripathi MM Applied Energy, 250, 540, 2019 |
6 |
Short term load forecasting based on feature extraction and improved general regression neural network model Liang Y, Niu DX, Hong WC Energy, 166, 653, 2019 |
7 |
A data-driven remaining capacity estimation approach for lithium-ion batteries based on charging health feature extraction Guo PY, Cheng Z, Yang L Journal of Power Sources, 412, 442, 2019 |
8 |
Fungi short-chain carboxylate transporter: shift from microbe hereditary functional component to metabolic engineering target Guo HW, Huang TQ, Zhao J, Chen HW, Chen G Applied Microbiology and Biotechnology, 102(11), 4653, 2018 |
9 |
A fast algorithm for calculating isothermal phase behavior using machine learning Kashinath A, Szulczewski ML, Dogru AH Fluid Phase Equilibria, 465, 73, 2018 |
10 |
A new hybrid method for the prediction of the remaining useful life of a lithium-ion battery Chang Y, Fang HJ, Zhang Y Applied Energy, 206, 1564, 2017 |