Search Results - "RISTIC, Mirjana Ð"
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An artificial neural network approach for the estimation of the primary production of energy from municipal solid waste and its application to the Balkan countries
Published in Waste management (Elmsford) (01-08-2018)“…[Display omitted] •The model for primary production of energy from municipal solid waste was developed.•General regression neural network architecture was used…”
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An optimized artificial neural network model for the prediction of rate of hazardous chemical and healthcare waste generation at the national level
Published in Journal of material cycles and waste management (01-07-2018)“…This paper presents a development of general regression neural network (a form of artificial neural network) models for the prediction of annual quantities of…”
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Prediction of municipal solid waste generation using artificial neural network approach enhanced by structural break analysis
Published in Environmental science and pollution research international (2017)“…This paper presents the development of a general regression neural network (GRNN) model for the prediction of annual municipal solid waste (MSW) generation at…”
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Estimation of NMVOC emissions using artificial neural networks and economical and sustainability indicators as inputs
Published in Environmental science and pollution research international (01-06-2016)“…This paper describes the development of an artificial neural network (ANN) model based on economical and sustainability indicators for the prediction of annual…”
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Forecasting human exposure to PM10 at the national level using an artificial neural network approach
Published in Journal of chemometrics (01-06-2013)“…A neural network model for predicting country‐level concentrations of the fraction of particulates in the air with sizes less than 10 µm (PM10) has been…”
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Modeling of ammonia emission in the USA and EU countries using an artificial neural network approach
Published in Environmental science and pollution research international (01-12-2015)“…Ammonia emissions at the national level are frequently estimated by applying the emission inventory approach, which includes the use of emission factors, which…”
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Prediction of nitrogen oxides emissions at the national level based on optimized artificial neural network model
Published in Air quality, atmosphere and health (2017)“…Nitrogen oxides (NO x ) emissions into the atmosphere have multiple negative effects on the environment and effects directly and indirectly on human health…”
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Removal of lead from water by amino modified multi-walled carbon nanotubes
Published in Chemical engineering journal (Lausanne, Switzerland : 1996) (01-10-2011)“…► The sorption of Pb 2+ on oxidized and amino-functionalized MWCNTs follow the Langmuir sorption isotherm. ► Pb 2+ adsorption by MWCNTs is dependent on the…”
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Removal of cadmium from aqueous solutions by oxidized and ethylenediamine-functionalized multi-walled carbon nanotubes
Published in Chemical engineering journal (Lausanne, Switzerland : 1996) (15-02-2010)“…Surface functionalization of multi-walled carbon nanotubes (MWCNTs) by ethylenediamine, via chemical modification of carboxyl groups, using…”
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PM10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization
Published in The Science of the total environment (15-01-2013)“…This paper describes the development of an artificial neural network (ANN) model for the forecasting of annual PM10 emissions at the national level, using…”
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Adsorption of arsenate on iron(III) oxide coated ethylenediamine functionalized multiwall carbon nanotubes
Published in Chemical engineering journal (Lausanne, Switzerland : 1996) (01-02-2012)“…[Display omitted] ► Iron(III)-oxide loaded e-MWCNT shows good sorption affinity for arsenic(V). ► The sorption pattern of As(V) fits well to the Freundlich…”
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Arsenate adsorption on waste eggshell modified by goethite, α-MnO2 and goethite/α-MnO2
Published in Chemical engineering journal (Lausanne, Switzerland : 1996) (01-02-2014)“…•Eggshell is used as a low-cost, abundant, porous material suitable for modification.•Pretreated eggshell is modified by goethite, α-MnO2 and…”
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Pb(II) removal from aqueous solution by Myriophyllum spicatum and its compost: equilibrium, kinetic and thermodynamic study
Published in Journal of chemical technology and biotechnology (1986) (01-05-2014)“…BACKGROUND: Lead is one of the frequent contaminants of industrial wastewater. Since it has been shown that aquatic plants can be used for the removal of heavy…”
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Removal of Cu²⁺ ions using hydrogels of chitosan, itaconic and methacrylic acid: FTIR, SEM/EDX, AFM, kinetic and equilibrium study
Published in Colloids and surfaces. A, Physicochemical and engineering aspects (05-09-2011)“…A removal of Cu²⁺ ions from aqueous solutions onto hydrogels of chitosan, itaconic and methacrylic acid has been investigated using batch adsorption technique…”
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Sorption of zinc by novel pH-sensitive hydrogels based on chitosan, itaconic acid and methacrylic acid
Published in Journal of hazardous materials (30-08-2011)“…► A removal of Zn 2+ ions by pH-sensitive Ch/IA/MAA hydrogel from aqueous solutions was studied. ► SEM/EDX analysis and AFM surface topography indicate that…”
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Forecasting GHG emissions using an optimized artificial neural network model based on correlation and principal component analysis
Published in International journal of greenhouse gas control (01-01-2014)“…•Artificial neural network (ANN) modeling of annual GHG emissions at the national level.•New approach is applied that uses sustainability and economical…”
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Risk Evaluation of Pollutants Emission from Coal and Coal Waste Combustion Plants and Environmental Impact of Fly Ash Landfilling
Published in Toxics (Basel) (21-04-2023)“…Emission factors (EFs) of gaseous pollutants, particulate matter, certain harmful trace elements, and polycyclic aromatic hydrocarbons (PAHs) from three…”
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Compost of Aquatic Weed Myriophyllum spicatum as Low-Cost Biosorbent for Selected Heavy Metal Ions
Published in Water, air, and soil pollution (01-04-2014)“…Aquatic weed Myriophyllum spicatum L. is one of the most invasive water plants known. In many countries, it is usually harvested and landfilled, where aerobic…”
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Impact of leaching procedure on heavy metals removal from coal fly ash
Published in Hemijska industrija (01-01-2024)“…In this work, removal of heavy metals (Cr, Mn, Co, Ni, Cu, Zn, As, Cd, and Pb) from fly ash has been studied using acid leaching and wet oxidation methods. In…”
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