| 1 |
A student's t-based density peaks clustering with superpixel segmentation (tDPCSS) method for image color clustering
Li ZJ, Zheng YP, Cao LQ, Jiao L, Zhong YF, Zhang CY
Color Research and Application, 45(4), 656, 2020 |
| 2 |
An improved high-order ISPH method for simulation of free-surface flows and convection heat transfer
Garoosi F, Shakibaeinia A
Powder Technology, 376, 668, 2020 |
| 3 |
Achieving the carbon intensity target of China: A least squares support vector machine with mixture kernel function approach
Zhu BZ, Ye SX, Jiang MX, Wang P, Wu ZC, Xie R, Chevallier J, Wei YM
Applied Energy, 233, 196, 2019 |
| 4 |
Natural convection in a nanofluid-filled cavity with solid particles in an inner cross shape using ISPH method
Ahmed SE, Aly AM
International Journal of Heat and Mass Transfer, 141, 390, 2019 |
| 5 |
Short-term power load probability density forecasting based on Yeo-Johnson transformation quantile regression and Gaussian kernel function
He YY, Zheng YY
Energy, 154, 143, 2018 |
| 6 |
Probability density forecasting of wind power using quantile regression neural network and kernel density estimation
He YY, Li HY
Energy Conversion and Management, 164, 374, 2018 |
| 7 |
Dew point pressure prediction based on mixed-kernels-function support vector machine in gas-condensate reservoir
Zhong Z, Liu SY, Kazemi M, Carr TR
Fuel, 232, 600, 2018 |
| 8 |
Recursive Identification of Hammerstein Systems: Convergence Rate and Asymptotic Normality
Mu BQ, Chen HF, Wang LY, Yin G, Zheng WX
IEEE Transactions on Automatic Control, 62(7), 3277, 2017 |
| 9 |
Modeling and experimental study on acoustic agglomeration for dust particle removal
Zu K, Yao Y, Cai M, Zhao F, Cheng DL
Journal of Aerosol Science, 114, 62, 2017 |
| 10 |
Dynamic risk assessment of complex process operations based on a novel synthesis of soft-sensing and loss function
Yu HY
Process Safety and Environmental Protection, 105, 1, 2017 |
