Faculty of Computer Science and Engineering

Permanent URI for this communityhttps://repository.ukim.mk/handle/20.500.12188/5

The Faculty of Computer Science and Engineering (FCSE) within UKIM is the largest and most prestigious faculty in the field of computer science and technologies in Macedonia, and among the largest faculties in that field in the region. The FCSE teaching staff consists of 50 professors and 30 associates. These include many “best in field” personnel, such as the most referenced scientists in Macedonia and the most influential professors in the ICT industry in the Republic of Macedonia.

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Author: search.filters.author.Jovana DobrevaLanguage: search.filters.language.English

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    Review of Natural Language Processing in Pharmacology
    (2022-08-22)
    ;
    Vangel Trajkovski
    ;
    Makedonka Dimitrieva
    ;
    Jovana Dobreva
    ;
    Natural language processing (NLP) is an area of artificial intelligence that applies information technologies to process the human language, understand it to a certain degree, and use it in various applications. This area has rapidly developed in the last few years and now employs modern variants of deep neural networks to extract relevant patterns from large text corpora. The main objective of this work is to survey the recent use of NLP in the field of pharmacology. As our work shows, NLP is a highly relevant information extraction and processing approach for pharmacology. It has been used extensively, from intelligent searches through thousands of medical documents to finding traces of adversarial drug interactions in social media. We split our coverage into five categories to survey modern NLP methodology, commonly addressed tasks, relevant textual data, knowledge bases, and useful programming libraries. We split each of the five categories into appropriate subcategories, describe their main properties and ideas, and summarize them in a tabular form. The resulting survey presents a comprehensive overview of the area, useful to practitioners and interested observers.
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    Item type:Publication,
    Secure ECash Payment Method Based on Pseudo-Random Functions in Centralized and Decentralized Systems
    (Ss Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Republic of North Macedonia, 2020-05-08)
    Lina Lumburovska
    ;
    Vesna Dimitrova,
    ;
    Stefan Andonov
    ;
    Keti Isajloska and Jovana Dobreva
    ;
    Jovana Dobreva
    One of the first online payment systems was eCash, which was discovered in the previous century and is still used worldwide. In this communication system, we are talking about more participants and contributors, but the main characters are the buyer and the seller. Their identity should stay anonymous and that is what this protocol can afford. Taking into consideration its advantages and disadvantages, the system works in real life centralized and decentralized systems and is spreading its usage to a higher level. Maintaining secure protocol must be obtained, so we discussed a few methods in order to achieve this property. We have also shown some basic principals for good implementation and what should be fulfilled in order to provide the best version of the eCash payment system. Basically, starting from the beginnings of eCash, we studied its implementation and design and then presented its security aspects and how this system works in eeal life examples in both centralized and decentralized systems.