1 |
Estimation of wind energy power using different artificial intelligence techniques and empirical equations Mert I, Unes F, Karakus C, Joksimovic D Energy Sources Part A-recovery Utilization and Environmental Effects, 43(7), 815, 2021 |
2 |
Control of primary disinfection in a drinking water treatment plant based on a fuzzy inference system Godo-Pla L, Rodriguez JJ, Suquet J, Emiliano P, Valero F, Poch M, Monclus H Process Safety and Environmental Protection, 145, 63, 2021 |
3 |
Describing biomass pyrolysis kinetics using a generic hybrid intelligent model: A critical stage in sustainable waste-oriented biore fi neries Aghbashlo M, Almasi F, Jafari A, Nadian MH, Soltanian S, Lam SS, Tabatabaei M Renewable Energy, 170, 81, 2021 |
4 |
Predictive capability evaluation and optimization of sustainable biodiesel production from oleaginous biomass grown on pulp and paper industrial wastewater Vasaki EM, Karri RR, Ravindran G, Paramasivan B Renewable Energy, 168, 204, 2021 |
5 |
Adaptive Neuro-Fuzzy inference system analysis on sorption studies of strontium and cesium cations onto a novel impregnated nano-zeolite Hassan HS, Moamen OAA, Zaher WF Advanced Powder Technology, 31(3), 1125, 2020 |
6 |
New prognosis approach for preventive and predictive maintenance - Application to a distillation column Daher A, Hoblos G, Khalil M, Chetouani Y Chemical Engineering Research & Design, 153, 162, 2020 |
7 |
Column breakthrough studies for the removal and recovery of phosphate by lime-iron sludge: Modeling and optimization using artificial neural network and adaptive neuro-fuzzy inference system Chittoo BS, Sutherland C Chinese Journal of Chemical Engineering, 28(7), 1847, 2020 |
8 |
Fuzzy-based novel risk and reward definition applied for optimal generation-mix estimation Unni AC, Ongsakul W, Madhu MN Renewable Energy, 148, 665, 2020 |
9 |
Photovoltaic power forecast using empirical models and artificial intelligence approaches for water pumping systems Ben Ammar R, Ben Ammar M, Oualha A Renewable Energy, 153, 1016, 2020 |
10 |
Estimating biofuel density via a soft computing approach based on intermolecular interactions Nabipour N, Daneshfar R, Rezvanjou O, Mohammadi-Khanaposhtani M, Baghban A, Xiong QG, Li LKB, Habibzadeh S, Doranehgard MH Renewable Energy, 152, 1086, 2020 |