[HTML][HTML] Predictive comparison and assessment of ANFIS and ANN, as efficient tools in modeling degradation of total petroleum hydrocarbon (TPH)

KA Ani, CM Agu - Cleaner Waste Systems, 2022 - Elsevier
abstract Composting is an effective organic waste management practice with a sustainable
environmental impact on soil. In most cases, composting materials are agricultural residues …

Effect of wood surface roughness on prediction of structural timber properties by infrared spectroscopy using ANFIS, ANN and PLS regression

S Ayanleye, V Nasir, S Avramidis, J Cool - European Journal of Wood and …, 2021 - Springer
Predicting the properties of structural timber using a rapid and reliable non-destructive
method is a critical quality control task in production. This study investigates using infrared …

[HTML][HTML] A novel approach for predicting heavy metal contamination based on adaptive neuro-fuzzy inference system and GIS in an arid ecosystem

ES Mohamed, MEM Jalhoum, AA Belal, E Hendawy… - Agronomy, 2023 - mdpi.com
The issue of agricultural soil pollution is especially important as it directly affects the quality
of food and the lives of humans and animals. Soil pollution is linked to human activities and …

Application of pharmaceutical waste as a heterogeneous catalyst for transesterification of waste cooking oil: biofuel production and its modeling using predictive tools

R Tahmasebi-Boldaji, S Rashidi, H Rajabi-Kuyakhi… - Biofuels, 2024 - Taylor & Francis
In this study, for the first time, pharmaceutical waste was used as a heterogeneous catalyst
to produce biofuel from waste cooking oil (WCO). An efficient and low-cost heterogeneous …

Develo** an adaptive neuro‐fuzzy inference system based on particle swarm optimization model for forecasting Cr (VI) removal by NiO nanoparticles

H Rajabi Kuyakhi… - … Progress & Sustainable …, 2021 - Wiley Online Library
The treatment of wastewater from heavy metal ions such as hexavalent chromium Cr (VI) is
considered as an important issue in recent years, which is harmful to human health and …

A comparative study of mathematical and ANFIS models to determine the effect of ultrasonic waves on the viscosity of crude oil

R Tahmasebi Boldaji, H Rajabi Kuyakhi… - Petroleum Science …, 2022 - Taylor & Francis
Increasing fuel consumption, industrial development, and population have led to energy
supply problems. Hence, the recovery of oil reservoirs has been considered in recent years …

Hybrid intelligence methods for modeling the diffusivity of light hydrocarbons in bitumen

HR Kuyakhi, O Zarenia, RT Boldaji - Heliyon, 2020 - cell.com
The solvent diffusivity is considered as a key factor in the design of solvent assisted
processes in the bitumen field. In this study, a novel Adaptive neuro-fuzzy interference …

Wavelet-ANFIS hybrid model for MODIS NDVI prediction

S Karateke, M Zontul, NE Bozkurt… - Journal of Applied …, 2021 - spiedigitallibrary.org
Urbanization at the expense of the natural environment has been increasing in Turkey in
recent years. The toll it takes on the ecosystem has an adverse impact on local weather …

A novel ANFIS model to prediction of the density of n-alkane in different operational condition

H Rajabi Kuyakhi… - Petroleum Science and …, 2019 - Taylor & Francis
The density has an important role in the oil and gas industries calculation. In this study, an
adaptive neuro-fuzzy interference system (ANFIS) model was employed to predict the …

Light hydrocarbons solvents solubility modeling in bitumen using learning approaches

H Rajabi Kuyakhi, RT Boldaji… - Petroleum Science and …, 2021 - Taylor & Francis
In this paper, two types of machine learning, namely neuro-fuzzy inference system (ANFIS)
and multilayer perceptron (MLP), have been studied to model light hydrocarbons' solubility …