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 …

Graphene oxide and its derivatives for gas separation membranes

M Asghari, S Saadatmandi, M Afsari - ChemBioEng Reviews, 2021 - Wiley Online Library
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 …

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 …

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) …

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 …

Dynamic response of angle ply laminates with uncertainties using MARS, ANN-PSO, GPR and ANFIS

BB Mishra, A Kumar, J Zaburko… - Materials, 2021 - mdpi.com
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 …

Bayesian regularized neural network model development for predicting daily rainfall from sea level pressure data: investigation on solving complex hydrology problem

L Ye, SF Jabbar, MM Abdul Zahra, ML Tan - Complexity, 2021 - Wiley Online Library
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 …

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 …

Hevea brasiliensis oil epoxidation: hybrid genetic algorithm–neural fuzzy–Box–Behnken (GA–ANFIS–BB) modelling with sensitivity and uncertainty analyses

EO Oke, K Nwosu-Obieogu, BI Okolo, O Adeyi… - … Experiments and Design, 2021 - Springer
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 …

Insights into the estimation of heavy metals ions sorption from aqueous environment onto natural zeolite

A Dashti, F Amirkhani, M Jokar, AH Mohammadi… - International Journal of …, 2021 - Springer
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+ …