Next generation polymers of intrinsic microporosity with tunable moieties for ultrahigh permeation and precise molecular CO2 separation
AA Shamsabadi, M Rezakazemi, F Seidi… - Progress in Energy and …, 2021 - Elsevier
Polymers of intrinsic microporosity (PIMs) with high free volumes have been synthesized by
incorporating contorted rigid moieties into polymers backbones. Despite their many …
incorporating contorted rigid moieties into polymers backbones. Despite their many …
Graphene oxide and its derivatives for gas separation membranes
Graphene oxide (GO), a derivative of graphene with a hydrophilic 2D crystalline
nanostructure and being an exfoliated form of graphite, is designed with several oxygen …
nanostructure and being an exfoliated form of graphite, is designed with several oxygen …
Hydrogen solubility in aromatic/cyclic compounds: Prediction by different machine learning techniques
Y Jiang, G Zhang, J Wang, B Vaferi - International Journal of Hydrogen …, 2021 - Elsevier
A systematic procedure based on adaptive neuro-fuzzy inference systems (ANFIS), artificial
neural networks, and least-squares support vector machines develop to estimate hydrogen …
neural networks, and least-squares support vector machines develop to estimate hydrogen …
Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS
H Jing, H Nikafshan Rad, M Hasanipanah… - Engineering with …, 2021 - Springer
This study proposes a novel design to systematically optimize the parameters for the
adaptive neuro-fuzzy inference system (ANFIS) model using stochastic fractal search (SFS) …
adaptive neuro-fuzzy inference system (ANFIS) model using stochastic fractal search (SFS) …
Hybrid neurofuzzy wind power forecast and wind turbine location for embedded generation
PA Adedeji, SA Akinlabi, N Madushele… - … Journal of Energy …, 2021 - Wiley Online Library
Wind energy uptake in South Africa is significantly increasing both at the micro‐and macro‐
level and the possibility of embedded generation cannot be undermined considering the …
level and the possibility of embedded generation cannot be undermined considering the …
Dynamic response of angle ply laminates with uncertainties using MARS, ANN-PSO, GPR and ANFIS
In the present work, for the first time, free vibration response of angle ply laminates with
uncertainties is attempted using Multivariate Adaptive Regression Spline (MARS), Artificial …
uncertainties is attempted using Multivariate Adaptive Regression Spline (MARS), Artificial …
Bayesian regularized neural network model development for predicting daily rainfall from sea level pressure data: investigation on solving complex hydrology problem
Prediction of daily rainfall is important for flood forecasting, reservoir operation, and many
other hydrological applications. The artificial intelligence (AI) algorithm is generally used for …
other hydrological applications. The artificial intelligence (AI) algorithm is generally used for …
Hybrid neurofuzzy investigation of short-term variability of wind resource in site suitability analysis: a case study in South Africa
PA Adedeji, SA Akinlabi, N Madushele… - Neural Computing and …, 2021 - Springer
Energy generation from wind resources is now a mature technology with the ability to
compete with traditional energy sources at utility scales in many countries, through the …
compete with traditional energy sources at utility scales in many countries, through the …
Hevea brasiliensis oil epoxidation: hybrid genetic algorithm–neural fuzzy–Box–Behnken (GA–ANFIS–BB) modelling with sensitivity and uncertainty analyses
Convectional algorithms such as least-square and gradient descent for adaptive neuro-fuzzy
inference system (ANFIS) prediction of engineering process system is deficient by local …
inference system (ANFIS) prediction of engineering process system is deficient by local …
Insights into the estimation of heavy metals ions sorption from aqueous environment onto natural zeolite
In this work, we present how soft computing approaches can be used to study the sorption
performance of natural zeolite to eliminate heavy metals ions including Zn 2+, Ni 2+, Cd 2+ …
performance of natural zeolite to eliminate heavy metals ions including Zn 2+, Ni 2+, Cd 2+ …