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Neural Computing Strategy for Predicting Deactivation of Fischer-Tropsch Synthesis With Different Nickel Loadings Pakdel MG, Zohdi-Fasaei H, Mirzaei AA, Atashi H Catalysis Letters, 149(9), 2444, 2019 |
92 |
Adaptive neuro-fuzzy inference system (ANIFS) and artificial neural network (ANN) applied for indium (III) adsorption on carbonaceous materials Franco DSP, Duarte FA, Salau NPG, Dotto GL Chemical Engineering Communications, 206(11), 1463, 2019 |
93 |
Artificial neural network modeling on the prediction of mass transfer coefficient for ozone absorption in RPB Liu TR, Liu YR, Wang D, Li YW, Shao L Chemical Engineering Research & Design, 152, 38, 2019 |
94 |
Evaluation of carrier size and surface morphology in carrier-based dry powder inhalation by surrogate modeling Farizhandi AAK, Paclawski A, Szlek J, Mendyk A, Shao YH, Lau R Chemical Engineering Science, 193, 144, 2019 |
95 |
Nonlinear model predictive control of a multiscale thin film deposition process using artificial neural networks Kimaev G, Ricardez-Sandoval LA Chemical Engineering Science, 207, 1230, 2019 |
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Assessment of Cu (II) removal from an aqueous solution by raw Gundelia tournefortii as a new low-cost biosorbent: Experiments and modelling Shandi SG, Ardejani FD, Sharifi F Chinese Journal of Chemical Engineering, 27(8), 1945, 2019 |
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Prediction of the colorimetric parameters and mass loss of heat-treated bamboo: Comparison of multiple linear regression and artificial neural network method Gurgen A, Topaloglu E, Ustaomer D, Yildiz S, Ay N Color Research and Application, 44(5), 824, 2019 |
98 |
Simulation and analysis of vacuum pressure swing adsorption using the differential quadrature method Makarem MA, Mofarahi M, Jafarian B, Lee CH Computers & Chemical Engineering, 121, 483, 2019 |
99 |
Multi-objective optimization of sulfur recovery units using a detailed reaction mechanism to reduce energy consumption and destruct feed contaminants Rahman RK, Ibrahim S, Raj A Computers & Chemical Engineering, 128, 21, 2019 |
100 |
Predictive models and detection methods applicable in water detection framework for industrial electric arc furnaces Alshawarghi H, Elkamel A, Moshiri B, Hourfar F Computers & Chemical Engineering, 128, 285, 2019 |