| 1240 - 1254 |
Therapeutic potential of a cell penetrating peptide (CPP, NP1) mediated siRNA delivery: Evidence in 3D spheroids of colon cancer cells
Al-Husaini K, Elkamel E, Han XX, Chen P |
| 1255 - 1266 |
Experimental methods in chemical engineering: X-ray diffraction spectroscopy-XRD
Khan H, Yerramilli AS, D'Oliveira A, Alford TL, Boffito DC, Patience GS |
| 1267 - 1268 |
Fault Detection, Supervision, and Safety for Chemical Processes: 2020
Wang YQ, Zhou DH |
| 1269 - 1279 |
Batch process monitoring using multiway Laplacian autoencoders
Gao XJ, Xu ZD, Li Z, Wang P |
| 1280 - 1292 |
A process fault diagnosis method using multi-time scale dynamic feature extraction based on convolutional neural network
Gao XR, Yang F, Feng EB |
| 1293 - 1306 |
Research on TE process fault diagnosis method based on DBN and dropout
Wei YQ, Weng ZX |
| 1319 - 1327 |
Grouping multi-rate sampling fault detection method for penicillin fermentation process
Li KQ, Feng J |
| 1328 - 1338 |
State and fault estimation for nonlinear recurrent neural network systems: Experimental testing on a three-tank system
Zhang XX, Feng XX, Mu ZL, Wang YQ |
| 1390 - 1397 |
Enhancement of the denitrification efficiency over low-rank activated coke by doping with transition metal oxides
Ye M, Cheng CG, Li YR, Lin YT, Wang X, Chen GY |
| 1398 - 1410 |
Non-isothermal crystallization of Ziegler Natta i-PP-graphene nanocomposite: DSC and new model prediction
Ahmed AK, Atiqullah M, Al-Harthi MA, Abdelaal AF, Pradhan DR |
| 1411 - 1428 |
Process monitoring method based on correlation variable classification and vine copula
Cui Q, Li SJ |
| 1429 - 1440 |
Real textile wastewater treatment using nano graphene-based materials: Optimum pH, dosage, and kinetics for colour and turbidity removal
de Araujo CMB, do Nascimento GFO, da Costa GRB, Baptisttella AMS, Fraga TJM, de Assis RB, Ghislandi MG, Sobrinho MAD |
