Ljubica Kazi's research while affiliated with University of Novi Sad and other places

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Publications (4)


Figure 3. Created the first part of the R program with creating data vectors, relations with linear regression, and drawing diagrams in the R GUI. Predicting air pollutant values is possible with a predictor vector, response vector, and linear regression function (Figure 4). Commands for this purpose are listed below: linear_model <-lm (vectorpollutantA~vectorpollutantB,data = datatable) variable_vectorpollutantB<-data.frame(vectorpollutantBprediction) predict (linear_model,newdata = variable_vectorpollutantB)predict (linear_model,newdata = variable_vectorpollutantB, interval = 'confidence') Figure 3. Created the first part of the R program with creating data vectors, relations with linear regression, and drawing diagrams in the R GUI.
Figure 4. Created the second part of the R program, which deals with predicting air pollutants values, fitting the linear model, and printing the results.
Predicting PM2.5, PM10, SO2, NO2, NO and CO Air Pollutant Values with Linear Regression in R Language
  • Article
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March 2023

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281 Reads

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2 Citations

Applied Sciences

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Ljubica Kazi

Air pollution is one of the most challenging and complex problems of our time. This research presents the prediction of air pollutant values based on using an R program with linear regression. The research sample consists of obtained values of air pollutants such as sulphur dioxide (SO2), particulate matter (PM10, PM2.5), carbon monoxide (CO), nitrite oxides (NO, NO2, and NOX), atmospheric data pressure (p), temperature (T), and relative humidity (rh). The research data were collected from the city of Belgrade air quality monitoring reports, published by the Environmental Protection Agency of the Republic of Serbia. The report data were transformed into a form suitable for processing by the R program and used to derive prediction functions based on linear regression upon pairs of air pollutants. In this paper, we describe the R program that was created to enable the correlation of air pollutants with linear regression, which results in functions that are used for the prediction of pollutant values. The correlation of pollutants is presented graphically with diagrams created within the R GUI environment. The predicted data were categorized according to air pollution standard ranges. It has been shown that the derived functions from linear regression enable predictions that are well correlated with the data obtained by automatic acquisition from air quality monitoring stations. The R program was created by using R language statements without any additional packages, and, therefore, it is suitable for multiple uses in a diversity of application domains with minor adjustments to appropriate data sets.

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Clean Code Quality Attributes and Measurements: an Initial Review

This paper analyzes the concept of clean code, in context of software structural quality. It presents a review of quality attributes of a clean code, related to ISO 25010 standard for quality of a software product and attributes of structural aspect of software quality. It also provides an overview of clean code effects experiments and clean code attributes measurements methods. This paper also addresses methods, practices and effects of refactoring existing code to clean code.


Figure 1. Amazon [17] Office 365 is cloud-based subscription service. Office 365 brings together various tools that people use, some of which are Microsoft Office, Outlook, OneDrive, Skype, etc. It has wide application, and the ability to work on multiple devices, everything works online [18].
Figure 2. Office 365 [18]
Figure 10. Web service layout in Google Chrome In order to test the DataSet GiveAllGoods it necessary to click the Invoke button (Figure 11.)
Figure 12. XML result invokes GiveAllGoods methods from the Web service -in a form suitable for loading as DataSet.
Figure 13. Adding a service reference WSSupplierPricelist
Interoperability of distributed business web applications

This paper describes the concept of interoperability of distributed business web applications, as well as the division of application into layers, and the explanation of individual layers. This paper presents an example of the problems of data exchange between retail and wholesale. An example is implemented using software tools such as Microsoft SQL Server Management Studio, software development environment Microsoft Visual Studio 2017 and Notepad++.


On-line social networks influencing young people: A case study with Facebook in Banat region of Serbia

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D. Radosav

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Ljubica Kazi

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The social network Facebook is used every day, and it has a big impact on people. The greatest use is among young people and this is shown in this paper. In addition, the time spent at the daily level is displayed, as well as the way of communication, whether more important is written or verbal communication, as well as the importance of real friends versus virtual friends. The population over which the research was carried out in most cases is young and on the territory of the Middle Banat.

Citations (1)


... Contemporary programming technologies facilitate the analysis of environmental data on a grand scale through specialized functions ( Setiawan et al., 2020;Huang et al., 2021)). The R programming language, created by Ihaka and Gentleman and renowned for its statistical computing capabilities, is a prime example (Kazi et al., 2023). Its capacity for extension through additional packages allows for a wide range of ecological applications ( (Kembel et al., 2010;Carslaw and Ropkins, 2012;Frichot and François, 2015;Guenzi et al., 2017;Patil et al., 2020;Setiawan et al., 2020;Stanke et al., 2020;Lemenkova and Debeir, 2022)). ...

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Advancing air quality forecasting in Abu Dhabi, UAE using time series models
Predicting PM2.5, PM10, SO2, NO2, NO and CO Air Pollutant Values with Linear Regression in R Language

Applied Sciences