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Prediction of municipal solid waste generation using artificial neural network approach enhanced by structural break analysis
(Springer Heidelberg, Heidelberg, 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 the national level for 44 countries of different size, population ...
The photocatalytic degradation of carbofuran and Furadan 35-ST: the influence of inert ingredients
(Springer Heidelberg, Heidelberg, 2017)
A comparative study on photocatalytic degradation of the pesticide carbofuran and its commercial product Furadan 35-ST in an aqueous suspension of ZnO, irradiated by long-wave light (315-400 nm), is presented in this study. ...
Migration of cypermethrin to and through the PET containers and artificial neural network-based estimation of its emission
(Springer Verlag, 2019)
Nowadays, the extensive use of pesticides in crops production puts a significant challenge to minimize its side effects along with safe production, storage, and after-use treatment. This paper reports results related to ...
Modelling of dissolved oxygen content using artificial neural networks: Danube River, North Serbia, case study
(Springer Heidelberg, Heidelberg, 2013)
The aims of this study are to create an artificial neural network (ANN) model using non-specific water quality parameters and to examine the accuracy of three different ANN architectures: General Regression Neural Network ...
The characterization and pollution status of the surface sediment in the Boka Kotorska Bay, Montenegro
(Environmental Science and Pollution Research, 2021)
Surface sediments collected from twelve stations in the Boka Kotorska Bay were analyzed for the level and distribution of twenty-six elements and ten oxides, grain sizes, organic matter, and carbonate content. Potentially ...
Characterization of PCBs from computers and mobile phones, and the proposal of newly developed materials for substitution of gold, lead and arsenic
(Springer Heidelberg, Heidelberg, 2013)
In this paper, we have analyzed parts of printed circuit board (PCB) and liquid crystal display (LCD) screens of mobile phones and computers, quantitative and qualitative chemical compositions of individual components, and ...
The impacts of seawater physicochemical parameters and sediment metal contents on trace metal concentrations in musselsa chemometric approach
(Springer Heidelberg, Heidelberg, 2018)
The concentrations of Al, Ba, Cd, Co, Cr, Cu, Fe, Li, Mn, Ni, Pb, Sr, Zn, and Hg were studied in Mytilus galloprovincialis collected from the coastal area of Montenegro. The impact of seawater temperature, salinity, dissolved ...
Estimation of NMVOC emissions using artificial neural networks and economical and sustainability indicators as inputs
(Springer Heidelberg, Heidelberg, 2016)
This paper describes the development of an artificial neural network (ANN) model based on economical and sustainability indicators for the prediction of annual non-methane volatile organic compounds (NMVOCs) emissions in ...
Characterization of PM(2.5)sources in a Belgrade suburban area: a multi-scale receptor-oriented approach
(Springer Heidelberg, Heidelberg, 2020)
Designated as the most harmful for health, PM(2.5)aerosol fraction was a subject of our study. It was collected for all four seasons during 2014/15 in the suburban area of Belgrade (Serbia) and analysed for Al, Si, P, S, ...
Nanoscale zerovalent iron (nZVI) supported by natural and acid-activated sepiolites: the effect of the nZVI/support ratio on the composite properties and Cd2+ adsorption
(Springer Heidelberg, Heidelberg, 2017)
Natural (SEP) and partially acid-activated (AAS) sepiolites were used to prepare composites with nanoscale zerovalent iron (nZVI) at different (SEP or AAS)/nZVI ratios in order to achieve the best nZVI dispersibility and ...