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Investigation of structural, morphology, and conduction mechanism of GO–Fe3O4–TiO2 composite material
(2023)
The graphene oxide composite (GO), iron oxide (Fe3O4), and titanium dioxide
(TiO2) were prepared by the sol–gel process. The surface of GO is coated with
TiO2 and Fe3O4 nanoparticles, and the composite contains 10.26% ...
Comparison of Particle Shape, Surface Area, and Color Properties of the Calcite Particles Ground by Stirred and Ball Mill
(2023)
Since the particle size, shape, specific surface area, and purity of the ground calcium carbonate (GCC) decide its usability in the paper, paint, and plastic industries, the effect of grinding is important. However, the ...
Evaluation of factors affecting tetracycline and diclofenac adsorption by agricultural soils using response surface methodology
(AICHE, 2023)
The adsorption process of the pharmaceutical pollutant in the soil is affected by its physicochemical properties and soil properties. In this study, the factors affecting the adsorption of tetracycline and diclofenac onto ...
Machine Learning Approaches for One-Day Ahead Soil Temperature Forecasting
(2023)
Present study investigates the capabilities of six distinct machine learning techniques such as ANFIS network with fuzzy c-means (ANFIS-FCM), grid partition (ANFIS-GP), subtractive clustering (ANFIS-SC), feed-forward neural ...
The Estimation of Monthly Mean Soil Temperature at Different Depths in Sivas Province, Turkey by Artificial Neural Networks
(2023)
In this study, soil temperature of Sivas province was estimated by the
artificial neural networks (ANNs) method using data obtained from five
different meteorological measurement stations situated in provincial
borders. ...
Artificial neural networks approach for forecasting of monthly relative humidity in Sivas, Turkey
(2023)
Relative humidity is a crucial parameter for various agricultural and engineering
applications and atmospheric dynamics; hence its accurate and reliable estimation is essential.
This study aims to predict monthly relative ...