Category: Research

Researchers from UDG and NCC Montenegro published a paper “Machine Learning Models for Statistical Analysis” by M. Grebovic et al. in The International Arab Journal of Information Technology, Vol. 20, No. 3A, Special Issue 2023. This was a follow up effort on the paper previously presented at the ACIT2023 conference.

ABSTRACT – Compared to traditional statistical models, Machine Learning (ML) algorithms provide the ability to interpret, understand and summarize patterns and regularities in observed data for making predictions in an advanced and more sophisticated way. The main reasons for the advantage of ML methods in making predictions are a small number of significant predictors of the statistical models, which means limited informative capability, and pseudo-correct regular statistical patterns, used without previous understanding of the used data causality. Also, some ML methods, like Artificial Neural Networks, use non-linear algorithms, considering links and associations between parameters. On the other hand, statistical models use one-step-ahead linear processes to improve only short-term prediction accuracy by minimizing a cost function. Although designing an optimal ML model can be a very complex process, it can be used as a potential solution for making improved prediction models compared to statistical ones. However, ML models will not automatically improve prediction accuracy, so it is necessary to evaluate and analyze several statistical and ML methods, including some artificial neural networks, through accuracy measures for prediction purposes in various fields of applications. A couple of techniques for improving suggested ML methods and artificial neural networks are proposed to get better accuracy results.

The paper is available at the following link.

Researchers from UDG and NCC Montenegro published a paper “Exploratory analysis of text using available NLP technologies for Serbian language”. The authors are L. Lakovic, S. Cakic, I. Jovovic, and D. Babic. The paper was presented at 22nd International Symposium INFOTECH-JAHORINA, that took place on 15-17 March 2023. The paper is published in IEEE Xplore.

ABSTRACT – This paper combines available NLP technologies for Serbian languages and traditional data science methods in order to analyze collected dataset on the news headlines related to the COVID-19 pandemics. As an addition to NLP technologies for the Serbian language, a specialized database was created in an attempt to enhance the research within the field. Within the paper, the database was exploratory analyzed, and perspectives of the work with the data were thoroughly explored.

Researchers from the EuroCC NCC Montenegro team published a scientific paper in IOS press journal Technology and Health Care – Volume Pre-press. This article belongs to the “Special Issue for magazine Technology and health care: official journal of the European Society for Engineering and Medicine ” (link). The paper “Competence development as critical issue for successful performance in HPC technology environment: A case study of Montenegro” by B. Malisic, S. Tinaj provides an overview of the concepts and systems needed to develop the competencies needed to implement modern technology such as High-Performance Computing (HPC) in Montenegro. In work and in practice through the EuroCC project  within the National Competence Center Montenegro, we start from a holistic approach to competences, which includes or integrates knowledge, skills, attitudes and values that influence the ability and competence for certain actions, in this case for the adoption and application of technology. Learn more at the following link.

ABSTRACT: This paper provides an overview of the concepts and systems needed to develop the competencies needed to implement modern technology such as High-Performance Computing (HPC) in Montenegro. In this research paper competencies are viewed holistically. This paper will elaborate the defined competencies related to the HPC technology environment, identified during the implementation of the EuroCC project in Montenegro, but also based on market analyses, combined with the identified indicators of absorption capacity, generally at the national level. By identifying the innovative and business potential of representatives of the public, academic and economic sectors, with special reference to small and medium-sized companies and the IT cluster that make up the dominant segments in the structure of the market sample, as generators and accelerators of innovation, smart growth and the digital economy, we got a clear picture regarding the development of necessary competencies within the NCC team but also at the national level. There must be a systemic approach and sustainable, dynamic projects and tools for the development of human resources in the development of competences.