D. Antanasijević

发表

Application of experimental design for the optimization of artificial neural network-based water quality model: a case study of dissolved oxygen prediction

Viktor Pocajt, Davor Antanasijević, Aleksandra Perić-Grujić, 2018, Environmental Science and Pollution Research.

Multiple-input–multiple-output general regression neural networks model for the simultaneous estimation of traffic-related air pollutant emissions

D. Antanasijević, M. Ristić, A. Perić-grujić, 2017 .

Migration of cypermethrin to and through the PET containers and artificial neural network–based estimation of its emission

D. Antanasijević, Nenad Jevremović, M. K. Krušić, 2019, Environmental Science and Pollution Research.

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.

D. Antanasijević, M. Ristić, V. Pocajt, 2018, Waste management.

Prediction of hardness and electrical properties in ZrB2 particle reinforced metal matrix composites using artificial neural network

D. Božić, J. Ruzic, D. Antanasijević, 2014 .

Prediction of clearing temperatures of bent-core liquid crystals using decision trees and multivariate adaptive regression splines

D. Antanasijević, V. Pocajt, N. Trišović, 2016 .

Application of artificial neural networks for estimating Cd, Zn, Pb removal efficiency from wastewater using complexation-microfiltration process

D. Antanasijević, S. Stevanović, K. Trivunac, 2017, International Journal of Environmental Science and Technology.

Self-organizing maps for indications of airborne polychlorinated biphenyl (PCBs) and organochlorine pesticide (OCPs) dependence on spatial and meteorological parameters.

D. Klinčić, D. Antanasijević, G. Vuǩović, 2018, The Science of the total environment.

The novel approach to the biomonitor survey using one- and two-dimensional Kohonen networks

D. Antanasijević, M. Ristić, A. Perić-grujić, 2015, Environmental Monitoring and Assessment.

Lead spatio-temporal pattern identification in urban microenvironments using moss bags and the Kohonen self-organizing maps

D. Antanasijević, M. Ristić, A. Perić-grujić, 2015 .

Plants as Monitors of Lead Air Pollution

D. Antanasijević, M. Ristić, A. Perić-grujić, 2013 .

An optimized artificial neural network model for the prediction of rate of hazardous chemical and healthcare waste generation at the national level

D. Antanasijević, M. Ristić, A. Perić-grujić, 2018, Journal of Material Cycles and Waste Management.

Lead concentrations and isotope ratios in urban tree leaves

D. Antanasijević, M. Ristić, A. Perić-grujić, 2013 .

Concentrations of selected trace elements in mineral and spring bottled waters on the Serbian market

D. Antanasijević, A. Perić-grujić, V. Pocajt, 2011, Food additives & contaminants. Part B, Surveillance.

An optimized artificial neural network model for the prediction of rate of hazardous chemical and healthcare waste generation at the national level

Viktor V. Pocajt, Davor Z. Antanasijević, Mirjana Đ. Ristić, 2018 .

From Classification to Regression Multitasking QSAR Modeling Using a Novel Modular Neural Network: Simultaneous Prediction of Anticonvulsant Activity and Neurotoxicity of Succinimides.

Viktor Pocajt, Davor Antanasijević, Jelena Antanasijević, 2017, Molecular pharmaceutics.

A QSPR study on the liquid crystallinity of five-ring bent-core molecules using decision trees, MARS and artificial neural networks

Viktor Pocajt, Davor Antanasijević, Jelena Antanasijević, 2016 .

The Prediction of Heavy Metal Permeate Flux in Complexation-Microfiltration Process: Polynomial Neural Network Approach

Davor Antanasijević, D. Antanasijević, S. Stevanović, 2019, Water, Air, & Soil Pollution.

PM(10) emission forecasting using artificial neural networks and genetic algorithm input variable optimization.

Davor Z Antanasijević, Viktor V Pocajt, Dragan S Povrenović, 2013, The Science of the total environment.

Prediction of municipal solid waste generation using artificial neural network approach enhanced by structural break analysis

Davor Z. Antanasijević, Mirjana Đ. Ristić, Aleksandra A. Perić-Grujić, 2016, Environmental Science and Pollution Research.

Persistent organic pollutants (POPs) in edible fish species from different fishing zones of Croatian Adriatic.

D. Antanasijević, G. Vuǩović, I. Deljanin, 2018, Marine pollution bulletin.

Forecasting human exposure to PM10 at the national level using an artificial neural network approach

Viktor Pocajt, Davor Antanasijević, Mirjana Ristić, 2013 .

A linear and non-linear polynomial neural network modeling of dissolved oxygen content in surface water: Inter- and extrapolation performance with inputs' significance analysis.

Viktor Pocajt, Davor Antanasijević, Mirjana Ristić, 2018, The Science of the total environment.

Artificial neural network modelling of biological oxygen demand in rivers at the national level with input selection based on Monte Carlo simulations

Davor Antanasijević, Viktor Pocajt, Aleksandra Perić-Grujić, 2015, Environmental Science and Pollution Research.

A differential multi-criteria analysis for the assessment of sustainability performance of European countries: Beyond country ranking

Viktor Pocajt, Davor Antanasijević, Mirjana Ristić, 2017 .

Analysis of selected elements in water in the drinking water preparation plants in Belgrade, Serbia

D. Antanasijević, M. Ristić, V. Pocajt, 2011 .

The forecasting of municipal waste generation using artificial neural networks and sustainability indicators

Viktor Pocajt, Davor Antanasijević, Mirjana Ristić, 2012, Sustainability Science.

Prediction of nitrogen oxides emissions at the national level based on optimized artificial neural network model

Davor Z. Antanasijević, Mirjana Đ. Ristić, Aleksandra A. Perić-Grujić, 2016, Air Quality, Atmosphere & Health.

Review: the approaches for estimation of limit of detection for ICP-MS trace analysis of arsenic.

Davor Z Antanasijević, D. Antanasijević, Vladana N Rajaković-Ognjanović, 2012, Talanta.

Multilevel split of high-dimensional water quality data using artificial neural networks for the prediction of dissolved oxygen in the Danube River

D. Antanasijević, M. Ristić, V. Pocajt, 2019, Neural Computing and Applications.

Unsupervised classification and multi-criteria decision analysis as chemometric tools for the assessment of sediment quality: A case study of the Danube and Sava River

Viktor Pocajt, Davor Antanasijević, Mirjana Ristić, 2016 .

Chemometrics in biomonitoring: Distribution and correlation of trace elements in tree leaves.

Davor Antanasijević, Aleksandra Perić-Grujić, Mirjana Ristić, 2016, The Science of the total environment.

The significance of periodic parameters for ANN modeling of daily SO2 and NOx concentrations: A case study of Belgrade, Serbia

Viktor Pocajt, Davor Antanasijević, Mirjana Ristić, 2019, Atmospheric Pollution Research.

Lead isotopic composition in tree leaves as tracers of lead in an urban environment

D. Antanasijević, M. Ristić, M. A. Urošević, 2014 .

Forecasting GHG emissions using an optimized artificial neural network model based on correlation and principal component analysis

Viktor Pocajt, Aleksandra A. Perić-Grujić, Davor Antanasijević, 2014 .

Organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs) in Cyprinidae fish: Towards hints of their arrangements using advanced classification methods

D. Klinčić, D. Antanasijević, A. Popović, 2018, Environmental research.

Modelling of dissolved oxygen in the Danube River using artificial neural networks and Monte Carlo Simulation uncertainty analysis

Viktor Pocajt, Davor Antanasijević, Mirjana Ristić, 2014 .

Modelling of dissolved oxygen content using artificial neural networks: Danube River, North Serbia, case study

Davor Antanasijević, Viktor Pocajt, Dragan Povrenović, 2013, Environmental Science and Pollution Research.

Urban population exposure to tropospheric ozone: A multi-country forecasting of SOMO35 using artificial neural networks.

Viktor Pocajt, Davor Antanasijević, Aleksandra Perić-Grujić, 2019, Environmental pollution.

A QSPR study on the liquid crystallinity of five-ring bent-core molecules using decision trees, MARS and artificial neural networks

D. Antanasijević, V. Pocajt, N. Trišović, 2016 .

Modeling the BOD of Danube River in Serbia using spatial, temporal, and input variables optimized artificial neural network models

Aleksandra N. Šiljić Tomić, Davor Z. Antanasijević, Mirjana Đ. Ristić, 2016, Environmental Monitoring and Assessment.

Multilevel split of high-dimensional water quality data using artificial neural networks for the prediction of dissolved oxygen in the Danube River

Davor Antanasijević, Viktor Pocajt, Aleksandra Perić-Grujić, 2019, Neural Computing and Applications.