| 1 |
Evaluating cell viability heterogeneity based on information fusion of multiple adhesion strengths
Wei MJ, Zhang RB, Zhang F, Zhang YC
Biotechnology and Bioengineering, 118(6), 2360, 2021 |
| 2 |
An efficient nonlinear polynomial color characterization method based on interrelations of color spaces
Ji J, Fang SP, Shi ZY, Xia Q, Li YB
Color Research and Application, 45(6), 1023, 2020 |
| 3 |
A statistical model for dew point air cooler based on the multiple polynomial regression approach
Akhlaghi YG, Ma XL, Zhao XD, Shittu S, Li JM
Energy, 181, 868, 2019 |
| 4 |
A sludge volume index (SVI) model based on the multivariate local quadratic polynomial regression method
Han HG, Wu XL, Ge LM, Qiao JF
Chinese Journal of Chemical Engineering, 26(5), 1071, 2018 |
| 5 |
An energy model of high-rise apartment buildings integrating variation in energy consumption between individual units
Jang H, Kang J
Energy and Buildings, 158, 656, 2018 |
| 6 |
Performance modelling of a partially-aerated submerged fixed-film bioreactor: Mechanistic analysis versus semi data-driven method
Kordkandi SA, Khoshfetrat AB, Faramarzi A
Journal of Industrial and Engineering Chemistry, 61, 398, 2018 |
| 7 |
Performance prediction of a centrifugal pump delivering non-Newtonian slurry
Mrinal KR, Siddique MH, Samad A
Particulate Science and Technology, 36(1), 38, 2018 |
| 8 |
Investigation on haloacetic acid (HAA) degradation by iron powder: Application of response surface methodology
Behbahani M, Seo Y
Process Safety and Environmental Protection, 103, 153, 2016 |
| 9 |
Improved multiple linear regression based models for solar collectors
Kicsiny R
Renewable Energy, 91, 224, 2016 |
| 10 |
Modeling of energy consumption and related GHG (greenhouse gas) intensity and emissions in Europe using general regression neural networks
Antanasijevic D, Pocajt V, Ristic M, Peric-Grujic A
Energy, 84, 816, 2015 |
