Search Results - "RISTIC, Mirjana Ð"

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  1. 1

    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 by Adamović, Vladimir M., Antanasijević, Davor Z., Ćosović, Aleksandar R., Ristić, Mirjana Đ., Pocajt, Viktor V.

    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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    Journal Article
  2. 2

    An optimized artificial neural network model for the prediction of rate of hazardous chemical and healthcare waste generation at the national level by Adamović, Vladimir M., Antanasijević, Davor Z., Ristić, Mirjana Đ., Perić-Grujić, Aleksandra A., Pocajt, Viktor V.

    “…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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    Journal Article
  3. 3

    Prediction of municipal solid waste generation using artificial neural network approach enhanced by structural break analysis by Adamović, Vladimir M., Antanasijević, Davor Z., Ristić, Mirjana Đ., Perić-Grujić, Aleksandra A., Pocajt, Viktor V.

    “…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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  4. 4

    Estimation of NMVOC emissions using artificial neural networks and economical and sustainability indicators as inputs by Stamenković, Lidija J., Antanasijević, Davor Z., Ristić, Mirjana Đ., Perić-Grujić, Aleksandra A., Pocajt, Viktor V.

    “…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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  5. 5

    Forecasting human exposure to PM10 at the national level using an artificial neural network approach by Antanasijević, Davor Z., Ristić, Mirjana Đ., Perić-Grujić, Aleksandra A., Pocajt, Viktor V.

    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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  6. 6

    Modeling of ammonia emission in the USA and EU countries using an artificial neural network approach by Stamenković, Lidija J, Antanasijević, Davor Z, Ristić, Mirjana Đ, Perić-Grujić, Aleksandra A, Pocajt, Viktor V

    “…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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  7. 7

    Prediction of nitrogen oxides emissions at the national level based on optimized artificial neural network model by Stamenković, Lidija J., Antanasijević, Davor Z., Ristić, Mirjana Đ., Perić-Grujić, Aleksandra A., Pocajt, Viktor V.

    “…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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  8. 8

    Removal of lead from water by amino modified multi-walled carbon nanotubes by Vukovic, Goran D, Marinkovic, Aleksandar D, Skapin, Sreco D, Ristic, Mirjana, Aleksic, Radoslav, Peric-Grujic, Aleksandra A, Uskokovic, Petar S

    “…► 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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    PM10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization by Antanasijević, Davor Z., Pocajt, Viktor V., Povrenović, Dragan S., Ristić, Mirjana Đ., Perić-Grujić, Aleksandra A.

    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 by Veličković, Zlate, Vuković, Goran D., Marinković, Aleksandar D., Moldovan, Maria-Simona, Perić-Grujić, Aleksandra A., Uskoković, Petar S., Ristić, Mirjana Đ.

    “…[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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  12. 12

    Arsenate adsorption on waste eggshell modified by goethite, α-MnO2 and goethite/α-MnO2 by Markovski, Jasmina S., Marković, Dana D., Đokić, Veljko R., Mitrić, Miodrag, Ristić, Mirjana Đ., Onjia, Antonije E., Marinković, Aleksandar D.

    “…•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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  13. 13

    Pb(II) removal from aqueous solution by Myriophyllum spicatum and its compost: equilibrium, kinetic and thermodynamic study by Milojkovic, Jelena V, Mihajlovic, Marija L, Stojanovic, Mirjana D, Lopicic, Zorica R, Petrovic, Marija S, Sostaric, Tatjana D, Ristic, Mirjana

    “…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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    Sorption of zinc by novel pH-sensitive hydrogels based on chitosan, itaconic acid and methacrylic acid by Milosavljevic, Nedeljko B, Ristic, Mirjana D, Peric-Grujic, Aleksandra A, Filipovic, Jovanka M, Strbac, Svetlana B, Rakocevic, Zlatko Lj, Kalagasidis Krusic, Melina T

    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 by Antanasijević, Davor Z., Ristić, Mirjana Đ., Perić-Grujić, Aleksandra A., Pocajt, Viktor V.

    “…•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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  17. 17

    Risk Evaluation of Pollutants Emission from Coal and Coal Waste Combustion Plants and Environmental Impact of Fly Ash Landfilling by Buha Marković, Jovana Z, Marinković, Ana D, Savić, Jasmina Z, Mladenović, Milica R, Erić, Milić D, Marković, Zoran J, Ristić, Mirjana Đ

    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 by Milojkovic, Jelena V, Stojanovic, Mirjana D, Mihajlovic, Marija L, Lopicic, Zorica R, Petrovic, Marija S, Sostaric, Tatjana D, Ristic, Mirjana D

    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 by Jankovic, Andrija, Cujic, Mirjana, Stojkovic, Milica, Djolic, Maja, Zivojinovic, Dragana, Onjia, Antonije, Ristic, Mirjana, Peric-Grujic, Aleksandra

    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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