Recent progress and remaining challenges in post-combustion CO2 capture using metal-organic frameworks (MOFs)
The emissions of carbon dioxide (CO 2) and other greenhouse gases from rapidly growing
industries and households are of great concern. These emissions cause problems like …
industries and households are of great concern. These emissions cause problems like …
A review on recent advances in hollow spheres for hydrogen storage
Recent advancements in synthesizing materials potential for hydrogen storage have greatly
forced the hydrogen storage technology ahead in recent years. Hollow spheres, with …
forced the hydrogen storage technology ahead in recent years. Hollow spheres, with …
Wind turbine power output very short-term forecast: A comparative study of data clustering techniques in a PSO-ANFIS model
PA Adedeji, S Akinlabi, N Madushele… - Journal of Cleaner …, 2020 - Elsevier
The emergence of new sites for wind energy exploration in South Africa requires an
accurate prediction of the potential power output of a typical utility-scale wind turbine in such …
accurate prediction of the potential power output of a typical utility-scale wind turbine in such …
Prediction of epidemic peak and infected cases for COVID-19 disease in Malaysia, 2020
The coronavirus COVID-19 has recently started to spread rapidly in Malaysia. The number of
total infected cases has increased to 3662 on 05 April 2020, leading to the country being …
total infected cases has increased to 3662 on 05 April 2020, leading to the country being …
Modelling reference evapotranspiration by combining neuro-fuzzy and evolutionary strategies
This study investigates the potential of two evolutionary neuro-fuzzy inference systems,
adaptive neuro-fuzzy inference system (ANFIS) with particle swarm optimization (ANFIS …
adaptive neuro-fuzzy inference system (ANFIS) with particle swarm optimization (ANFIS …
A hybrid neuro-fuzzy inference system-based algorithm for time series forecasting applied to energy consumption prediction
The accuracy of the prediction of buildings' energy consumption is being tackled using
existing artificial intelligence techniques. However, there is a lack of effort on the …
existing artificial intelligence techniques. However, there is a lack of effort on the …
A nonlinear method of learning neuro-fuzzy models for dynamic control systems
MV Bobyr, SG Emelyanov - Applied Soft Computing, 2020 - Elsevier
The paper describes a new learning algorithm of adaptive neuro-fuzzy inference systems
that is based on the method of areas' ratio (MAR-ANFIS). Using linear and nonlinear …
that is based on the method of areas' ratio (MAR-ANFIS). Using linear and nonlinear …
Prediction of fluid pattern in a shear flow on intelligent neural nodes using ANFIS and LBM
Y Cao, M Babanezhad, M Rezakazemi… - Neural Computing and …, 2020 - Springer
Prediction of fluid pattern inside chemical mixing tanks and reactors is very challenging,
mainly when scale-up and optimization of devices are essential due to enormous …
mainly when scale-up and optimization of devices are essential due to enormous …
Estimation of cetane numbers of biodiesel and diesel oils using regression and PSO-ANFIS models
One of the essential characteristics of diesel oils is their cetane number (CN) which indicates
the ignition delay of the fuel in the process. In this study, using PSO-ANFIS technique, CNs …
the ignition delay of the fuel in the process. In this study, using PSO-ANFIS technique, CNs …
Post-combustion CO2 capture with sweep gas in thin film composite (TFC) hollow fiber membrane (HFM) contactor
In the current work, mini-modules of composite hollow fiber membranes (HFMs) were
fabricated by dip-coating poly (vinylidene fluoride)(PVDF) fibers in Polydimethylsiloxane …
fabricated by dip-coating poly (vinylidene fluoride)(PVDF) fibers in Polydimethylsiloxane …