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Carbon Dioxide Adsorption Study on Rice Husk Activated Carbons by Artificial Neural Network (ANN)
AbstractIn this study, the effects of artificial neural networks on CO 2 adsorption on several types of rice husk activated carbon samples are...
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Hydrolytic and soil degradation of cellulosic material (paper): optimization of parameters using ANN and RSM
This work reports the degradation of cellulosic material, i.e., paper, under different environmental conditions (soil and hydrolytic). Models were...
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Integrating properties and conditions to predict spray performance of alternative aviation fuel by ANN model
Alternative aviation fuel has been confirmed benefits for GHGs reduction and energy saving. Alternative fuel use should meet drop-in fuel...
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Implementation of ANN for Prognosis of Automobile Engine
This paper presents the prognosis of automobile engine using artificial neural network (ANN). The prognosis of automobile engine has been performed...
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Inspecting Process-Diameter Relationships of Forcespun PVP Ultrafine Fibers via RSM and ANN-PCA Approaches
In this study, polyvinylpyrrolidone ultrafine fibers were produced by the Forcespinning process. As the functional performance of forcespun fibers is...
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Estimation of Biomass Fuels’ HHVs Based on Ultimate and Proximate Analysis and Their Combination Data Using MLP-ANN Models
AbstractThe most important thing to know when investigating the feasibility of energy generation from biomass materials is the higher heating values...
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Microwave-assisted aqueous extraction of bioactive components from Malabar spinach (Basella alba) leaves and its optimization using ANN-GA and RSM methodology
The paper discusses the effect of microwave assisted aqueous extraction conditions on the recovery and quantification of bioactive compounds of Basella...
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Predicting the wicking rate of nitrocellulose membranes from recipe data: a case study using ANN at a membrane manufacturing in South Korea
Lateral flow assays have been widely used for detecting coronavirus disease 2019 (COVID-19). A lateral flow assay consists of a Nitrocellulose (NC)...
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Experimental, Price-Performance and Artificial Neural Network (ANN) Analysis of MWCNT-CuO/ Water-EG (50-50) Nanofluid as a Coolant/Antifreeze Working Fluid
In this study, the thermal conductivity (TC) of CuO–MWCNT/water–EG hybrid nanofluid (NF) was experimentally measured. The experiments were conducted...
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Effects of temperature and nanoparticle mixing ratio on the thermophysical properties of GNP–Fe2O3 hybrid nanofluids: an experimental study with RSM and ANN modeling
This study investigated the impact of temperature and nanoparticle mixing ratio on the thermophysical properties of hybrid nanofluids (HNFs) made...
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In silico design, docking simulation, and ANN-QSAR model for predicting the anticoagulant activity of thiourea isosteviol compounds as FXa inhibitors
Novel oral anticoagulants are frequently used for the pharmacotherapy of thromboembolic disorders but still have drawbacks and side effects. While...
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QSRR models for predicting the retention indices of VOCs in different datasets using an efficient variable selection method coupled with artificial neural network modeling: ANN-based QSPR modeling
A combination of the smoothly clipped absolute deviation (SCAD) method and the artificial neural network (ANN) was utilized as a novel methodology...
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Measurement of solids holdup in a gas–solid fluidized bed: an experimental, statistical and ANN approach
This study quantitatively measures the solid flow properties using an optical fiber probe (OFP) in a 0.105 m diameter cylindrical lab-scale gas–solid...
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Investigation of mass transfer parameters, phytochemical analysis of dried ripen graviola fruit (Annona muricata) and its comparative approach by using statistical tools: ANN and mathematical modelling
Improving the accessibility of bioactive compounds enriched ripen graviola fruit ( Annona muricata ) by the application of post-harvest processing...
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Correlation proposing and ANN modelling of thermohydraulic performance for delta-shaped winglet-type solar water heating system
The efficient use of renewable energy sources becomes necessary due to rise in energy demand and dwindling traditional energy sources. In present...
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ANN-MATOPT hybrid algorithm: determination of kinetic and non-kinetic parameters in different reaction mechanisms
In this work we have applied the computational methodology based on Artificial Neural Networks (ANN) to the kinetic study of distinct reaction...
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Flowerlike Sm–ZnIn2S4 as a Susceptible Visible-Light Photocatalyst for Cr6+ Reduction: Experimental Design, RSM, and ANN Modeling
Since Cr 6+ compounds are introduced among the first category of hypertoxic water contaminants, efforts to find the most effective methods for...
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Growth of Novel Cinnamon-Bentonite Loaded Chitosan Nanospikes for the Confiscation of Congo Red: Adsorption Studies and ANN Modeling
The study focuses on synthesizing cinnamon-bentonite-loaded chitosan nanospikes for the enhanced removal of Congo red, a hazardous dye commonly found...
