Zerina Mašetić

Zerina Mašetić
International BURCH University · Department of Information Technologies

PhD

About

28
Publications
25,126
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
402
Citations
Additional affiliations
September 2014 - present
International BURCH University
Position
  • Senior Teaching Assistant

Publications

Publications (28)
Article
Despite the fact that technology is improving day by day and that the medical devices (MDs) are being constantly upgraded, their malfunction is not a rare occurrence. The aim of this research is to develop an expert system that can predict whether the device will satisfy functional and safety requirements during a regular inspection. This expert sy...
Chapter
Due to massive expansion of trading businesses, especially e-commerces, it is necessary for companies to compete for their status among customers. As most of the customers value customer experience and claim that customer experience is the most important parameter when it comes to their decision making, in this work we focus on exploring those clai...
Chapter
Nowadays, a vast number of online businesses and services use recommender systems to provide relevant product suggestions to their customers. Recommender systems can be defined as systems employing various data mining techniques to predict users’ interest in certain items or topics, among a tremendous amount of available data. While there exist var...
Chapter
The world and everyday life are completely changed due to novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) which caused COVID-19 disease. New decisions and rules are set from day to day. Reactions and attitudes of people are often shared on social media, especially using Twitter which makes Twitter a good source of data for many r...
Chapter
Cardiovascular disease is the most common cause of deaths in the world, being 1 in every 4 deaths from the total deaths. Electrocardiogram (ECG) is essential in monitoring and diagnosing a patient’s heart status as it plays a significant role when the features being extracted. This work aims to develop an accurate feature extraction model of ECG si...
Article
Full-text available
With the exponential growth of the amount of data being generated, stored and processed on a daily basis in the machine learning, data analytics and decision-making systems, the data preprocessing established itself as the key factor for building reliable high-performance machine learning models. One of the roles in preprocessing is variable reduct...
Chapter
Full-text available
Rise of antibiotic resistance has become a major issue worldwide. The most common procedure for the evaluation of antibiotic susceptibility, in use today, is the Bauer Kirby disk diffusion testing, however the procedure is time consuming and therapy is ordinated 48–72 h upon obtaining the patient’s sample. This is problematic especially in treatmen...
Chapter
Heart diseases are the number one cause of death all over the world. Many deaths are caused due to late detection of heart diseases. During the process of heart sound recording, beside heart sound, environment noise is being recorded too. In this work signal denoising was performed using wavelet denoising method. Furthermore, parameter values are c...
Chapter
Urinary Tract Infections (UTIs) are the most common type of bacterial infection and the physical, chemical and microscopic analysis of urine, followed by culture is a commonly conducted procedure in microbiological laboratories. Even though physical, chemical and microscopic analysis are more time efficient, culture is still considered the gold sta...
Article
Full-text available
While leveraging cloud computing for large-scale distributed applications allows seamless scaling, many companies struggle following up with the amount of data generated in terms of efficient processing and anomaly detection, which is a necessary part of the management of modern applications. As the record of user behavior, weblogs surely become th...
Chapter
The amount of websites on the internet has grown tremendously in recent years. With the rapid increase in volume of available World Wide Web resources, a need arises for an efficient and automated website categorization mechanism. This research proposes and implements several machine learning models for general-purpose classification of website con...
Article
Full-text available
Since the early beginnings of education systems, attendance has always played a crucial role in student success, as well as in the overall interest of the matter. The most productive way of increasing the student attendance rate is to understand why it decreases, try to predict when it is going to happen, and act on causing factors in order to prev...
Thesis
Full-text available
While leveraging cloud computing for large-scale distributed applications allows seamless scaling, many companies struggle following up with the amount of data generated in terms of efficient processing and anomaly detection. With the rapid growth of web attacks, anomaly detection becomes a necessary part of the management of modern large-scale dis...
Chapter
Biofilms are microbial mono-specie or multi-specie (consortium) communities that play a significant role in the clinical, industrial and natural settings. Biofilm formation can be determined by using qualitative and quantitative tests, where the latter are considered more reliable. The prominently accepted result interpretation procedure for quanti...
Chapter
Heart disease is the one of the most serious problems in healthcare and affects large number of people. It is very important to detect it on time, otherwise it can cause serious consequences, such as death. In this paper, we applied artificial neural network, k-nearest neighbor and support vector machine algorithms to build model which will be used...
Article
A car price prediction has been a high-interest research area, as it requires noticeable effort and knowledge of the field expert. Considerable number of distinct attributes are examined for the reliable and accurate prediction. To build a model for predicting the price of used cars in Bosnia and Herzegovina, we applied three machine learning techn...
Article
Full-text available
Credit card default payment prediction studies are very important for any financial institution dealing with credit cards. The purpose of this work is to evaluate the performance of machine learning methods on credit card default payment prediction using logistic regression, C4.5 decision tree, support vector machines (SVM), naive Bayes, k-nearest...
Article
Full-text available
Cloud computing is a trending technology, as it reduces the cost of running a business. However, many companies are skeptic moving about towards cloud due to the security concerns. Based on the Cloud Security Alliance report, Denial of Service (DoS) attacks are among top 12 attacks in the cloud computing. Therefore, it is important to develop a mec...
Conference Paper
Cloud computing became very popular in past few years, and most of the business and home users rely on its services. Because of its wide usage, cloud computing services became a common target of different cyber-attacks executed by insiders and outsiders. Therefore, cloud computing vendors and providers need to implement strong information security...
Article
Background and objectives: Automatic electrocardiogram (ECG) heartbeat classification is substantial for diagnosing heart failure. The aim of this paper is to evaluate the effect of machine learning methods in creating the model which classifies normal and congestive heart failure (CHF) on the long-term ECG time series. Methods: The study was pe...
Article
Full-text available
Automatic electrocardiogram (ECG) heart beat classification is significant for diagnosis of heart failures. The purpose of this study is to evaluatethe effect of C4.5 decision tree method in creating the model that will detect and separate normal and congestive heart failures (CHF) on the long-term ECG time series. The research was conducted in...

Network

Cited By

Projects

Projects (2)
Project
Develop an application that will reduce the error rate when performing biochemical analyzes on pathogenic bacteria, and at the same time simplify the process.
Project
The project aims is to analyze the connection between open public space and the spread of COVID-19 virus infection, and to propose specific spatial interventions for Sarajevo, that would contribute to more efficient and safer use of space, in accordance with the recommended norms of social behavior.