1 |
Illumination correction via support vector regression based on improved whale optimization algorithm Wang C, Zhu ZF, Chen S, Yang JY Color Research and Application, 46(2), 303, 2021 |
2 |
Intelligent optimization of bioleaching process for waste lithium-ion batteries: An application of support vector regression approach Ruhatiya C, Gandra R, Kondaiah P, Manivas K, Samhith A, Gao L, Lam JSL, Garg A International Journal of Energy Research, 45(4), 6152, 2021 |
3 |
A novel rate of penetration prediction model with identified condition for the complex geological drilling process Zhou Y, Chen X, Zhao HB, Wu M, Cao WH, Zhang YC, Liu HB Journal of Process Control, 100, 30, 2021 |
4 |
Development and analyses of data-driven models for predicting the bed depth profile of solids flowing in a rotary kiln Parveen N, Zaidi S, Danish M Advanced Powder Technology, 31(2), 678, 2020 |
5 |
Artificial intelligence (AI)-based friction factor models for large piping networks Parveen N, Zaidi S, Danish M Chemical Engineering Communications, 207(2), 213, 2020 |
6 |
Human perceptual responses to multiple colors: A study of multicolor perceptual features modeling Wang S, Jiang W, Su YA, Liu JY Color Research and Application, 45(4), 728, 2020 |
7 |
Support vector regression: A novel soft computing technique for predicting the removal of cadmium from wastewater Parveen N, Zaidi S, Danish M Indian Journal of Chemical Technology, 27(1), 43, 2020 |
8 |
Online state-of-health prediction of lithium-ion batteries with limited labeled data Yu JS, Yang J, Wu Y, Tang DY, Dai J International Journal of Energy Research, 44(14), 11345, 2020 |
9 |
Identifying predictors of antimicrobial exposure in hospitalized patients using a machine learning approach Chowdhury AS, Lofgren ET, Moehring RW, Broschat SL Journal of Applied Microbiology, 128(3), 688, 2020 |
10 |
A sampling-based stochastic optimization for a boiler process in a pulp industry de Almeida GM, Park SW, Kim SC, Lee CJ Korean Journal of Chemical Engineering, 37(4), 588, 2020 |