Boško Nikolić
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View article: Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework
Intrusion detection in metaverse environment internet of things systems by metaheuristics tuned two level framework Open
Internet of Things (IoT) is one of the most important emerging technologies that supports Metaverse integrating process, by enabling smooth data transfer among physical and virtual domains. Integrating sensor devices, wearables, and smart …
View article: Photovoltaic Farm Production Forecasting: Modified Metaheuristic Optimized Long Short-Term Memory-Based Networks Approach
Photovoltaic Farm Production Forecasting: Modified Metaheuristic Optimized Long Short-Term Memory-Based Networks Approach Open
The finite availability and unsustainable nature of fossil fuel sources have spurred growing interest in renewable energy sources. Nevertheless, substantial efforts are still required to fully incorporate energy coming from renewable sourc…
View article: Neurodegenerative Condition Detection Using Modified Metaheuristic for Attention Based Recurrent Neural Networks and Extreme Gradient Boosting Tuning
Neurodegenerative Condition Detection Using Modified Metaheuristic for Attention Based Recurrent Neural Networks and Extreme Gradient Boosting Tuning Open
Parkinson’s disease is a neurological disorder, caused by the death of dopaminergic neurons which can cause various movement disorders to appear, recognized as standard Parkinson’s motor symptoms. A drug to stop the progression of the dise…
View article: Software System for Automatic Grading of Paper Tests
Software System for Automatic Grading of Paper Tests Open
The advent of digital technology has revolutionized numerous aspects of modern life, including the field of assessment and testing. However, paper tests, despite their seemingly archaic nature, continue to hold a prominent position in vari…
View article: Wall segmentation in 2D images using convolutional neural networks
Wall segmentation in 2D images using convolutional neural networks Open
Wall segmentation is a special case of semantic segmentation, and the task is to classify each pixel into one of two classes: wall and no-wall. The segmentation model returns a mask showing where objects like windows and furniture are loca…
View article: Intrusion Detection in Healthcare 4.0 Internet of Things Systems via Metaheuristics Optimized Machine Learning
Intrusion Detection in Healthcare 4.0 Internet of Things Systems via Metaheuristics Optimized Machine Learning Open
Rapid developments in Internet of Things (IoT) systems have led to a wide integration of such systems into everyday life. Systems for active real-time monitoring are especially useful in areas where rapid action can have a significant impa…
View article: Text Document Clustering Approach by Improved Sine Cosine Algorithm
Text Document Clustering Approach by Improved Sine Cosine Algorithm Open
Due to the vast amounts of textual data available in various forms such as online content, social media comments, corporate data, public e-services and media data, text clustering has been experiencing rapid development. Text clustering in…
View article: Improving Phishing Website Detection Using a Hybrid Two-level Framework for Feature Selection and XGBoost Tuning
Improving Phishing Website Detection Using a Hybrid Two-level Framework for Feature Selection and XGBoost Tuning Open
In the last few decades, the World Wide Web has become a necessity that offers numerous services to end users. The number of online transactions increases daily, as well as that of malicious actors. Machine learning plays a vital role in t…
View article: Monolingual, multilingual and cross-lingual code comment classification
Monolingual, multilingual and cross-lingual code comment classification Open
Code comments are one of the most useful forms of documentation and metadata for understanding software implementation. Previous research on code comment classification has focused only on comments in English, typically extracted from a fe…
View article: Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains
Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains Open
This article describes a teaching strategy that synergizes computing and management, aimed at the running of complex projects in industry and academia, in the areas of civil engineering, physics, geosciences, and a number of other related …
View article: Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems
Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems Open
This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best performance of simulation-based feas…
View article: Automated assessment of pen and paper tests using computer vision
Automated assessment of pen and paper tests using computer vision Open
Computer vision is one of the artificial intelligence’s most challenging fields, enabling computers to interpret, analyse and derive meaningful information from the visual world. There are various utilizations of computer vision algorithms…
View article: ISTRAŽIVANJE UTICAJA PROMENE TEMPERATURE MINERALNOG ULJA NA BUDŽET MERNE NESIGURNOSTI SVEAKUSTIČNOG NEITERATIVNOG ALGORITMA ZA LOCIRANJE PARCIJALNOG PRAŽNJENJA
ISTRAŽIVANJE UTICAJA PROMENE TEMPERATURE MINERALNOG ULJA NA BUDŽET MERNE NESIGURNOSTI SVEAKUSTIČNOG NEITERATIVNOG ALGORITMA ZA LOCIRANJE PARCIJALNOG PRAŽNJENJA Open
The paper presents a procedure for improving the calculation of the measurement uncertainty of a non-iterative algorithm for locating partial discharge in mineral oil by the all-acoustic method. The specificity of the given algorithm is th…
View article: Training a Logistic Regression Machine Learning Model for Spam Email Detection Using the Teaching-Learning-Based-Optimization Algorithm
Training a Logistic Regression Machine Learning Model for Spam Email Detection Using the Teaching-Learning-Based-Optimization Algorithm Open
Spam and emails have always been intrinsically linked since the creation of the Advanced Research Projects Agency Network, otherwise known as (ARPANET).The latter witnessed, on May 3rd, 1978, the first known spam email to date.Today, spam …
View article: Visual Simulator for Mastering Fundamental Concepts of Machine Learning
Visual Simulator for Mastering Fundamental Concepts of Machine Learning Open
Machine learning (ML) has become an increasingly popular choice of scientific research for many students due to its application in various fields. However, students often have difficulty starting with machine learning concepts due to too m…
View article: Retinal disease classification based on optical coherence tomography images using convolutional neural networks
Retinal disease classification based on optical coherence tomography images using convolutional neural networks Open
The challenges in today's medicine are progressively more related to the application of artificial intelligence and supervised learning techniques. Optical coherence tomography (OCT) is a noninvasive imaging technology used to obtain high-…
View article: Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images
Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images Open
Developing countries have had numerous obstacles in diagnosing the COVID-19 worldwide pandemic since its emergence. One of the most important ways to control the spread of this disease begins with early detection, which allows that isolati…
View article: Development of a Multilingual Model for Machine Sentiment Analysis in the Serbian Language
Development of a Multilingual Model for Machine Sentiment Analysis in the Serbian Language Open
In this research, a method of developing a machine model for sentiment processing in the Serbian language is presented. The Serbian language, unlike English and other popular languages, belongs to the group of languages with limited resour…
View article: Application of Machine Learning to Express Measurement Uncertainty
Application of Machine Learning to Express Measurement Uncertainty Open
The continuing increase in data processing power in modern devices and the availability of a vast amount of data via the internet and the internet of things (sensors, monitoring systems, financial records, health records, social media, etc…
View article: Impact of Power Transformer Oil-Temperature on the Measurement Uncertainty of All-Acoustic Non-Iterative Partial Discharge Location
Impact of Power Transformer Oil-Temperature on the Measurement Uncertainty of All-Acoustic Non-Iterative Partial Discharge Location Open
In this paper, the influence of the variation in transformer oil temperature on the accuracy of the all-acoustic non-iterative method for partial discharge location in a power transformer is researched. The research can improve power trans…
View article: A versatile framework for resource-limited sentiment articulation, annotation, and analysis of short texts
A versatile framework for resource-limited sentiment articulation, annotation, and analysis of short texts Open
Choosing a comprehensive and cost-effective way of articulating and annotating the sentiment of a text is not a trivial task, particularly when dealing with short texts, in which sentiment can be expressed through a wide variety of linguis…
View article: Computer non-iterative data acquisition of particle trajectory in a spark chamber
Computer non-iterative data acquisition of particle trajectory in a spark chamber Open
This paper presents a novel non-iterative algorithm for charge particle localization in a spark chamber. Its performance is evaluated by computer simulations using the Monte Carlo simulation method and compared with the performance of an a…
View article: Algorithm for calculating influence of power transformer oil temperature change on the accuracy of allacoustic non-iterative partial discharge localization
Algorithm for calculating influence of power transformer oil temperature change on the accuracy of allacoustic non-iterative partial discharge localization Open
Ovaj rad razmatra čisto akustičku metodu za lokalizaciju parcijalnog pražnjenja u energetskom transformatoru. Ova metoda se zasniva na matematičkom modelu koji koristi multilateraciju, princip vremenske razlike kašnjenja signala i neiterat…
View article: Sentiment classification of documents in Serbian: The effects of morphological normalization and word embeddings
Sentiment classification of documents in Serbian: The effects of morphological normalization and word embeddings Open
An open issue in the sentiment classification of texts written in Serbian is the effect of different forms of morphological normalization and the usefulness of leveraging large amounts of unlabeled texts. In this paper, we assess the impac…