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.Coelho, Paulo JorgeHas files: Yes

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    Item type:Publication,
    An analytical review of optimization techniques in information retrieval for enhanced decision support
    (Elsevier BV, 2025-12)
    Lazović, Kemal
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    Madeira, Filipe
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    Silva, Luis Augusto
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    Coelho, Paulo Jorge
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    Item type:Publication,
    Sensor-based systems for the measurement of Functional Reach Test results: a systematic review
    (PeerJ, 2024)
    Francisco, Luís
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    Duarte, João
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    Godinho, António Nunes
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    Albuquerque, Carlos
    The measurement of Functional Reach Test (FRT) is a widely used assessment tool in various fields, including physical therapy, rehabilitation, and geriatrics. This test evaluates a person's balance, mobility, and functional ability to reach forward while maintaining stability. Recently, there has been a growing interest in utilizing sensor-based systems to objectively and accurately measure FRT results. This systematic review was performed in various scientific databases or publishers, including PubMed Central, IEEE Explore, Elsevier, Springer, the Multidisciplinary Digital Publishing Institute (MDPI), and the Association for Computing Machinery (ACM), and considered studies published between January 2017 and October 2022, related to methods for the automation of the measurement of the Functional Reach Test variables and results with sensors. Camera-based devices and motion-based sensors are used for Functional Reach Tests, with statistical models extracting meaningful information. Sensor-based systems offer several advantages over traditional manual measurement techniques, as they can provide objective and precise measurements of the reach distance, quantify postural sway, and capture additional parameters related to the movement.
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    Item type:Publication,
    Can sensors be used to measure the Arm Curl Test results? a systematic review
    (Springer Science and Business Media LLC, 2024-01-31)
    Matos, Tomás
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    Vornicoglo, Daniel
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    Coelho, Paulo Jorge
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    Albuquerque, Carlos
    <jats:title>Abstract</jats:title><jats:p>There is growing interest in the automated measurement of physical fitness tests, such as the Arm Curl Test, to enable more objective and accurate assessments. This review aimed to systematically analyze the types of sensors and technological methods used for automated Arm Curl Test measurement and their benefits for different populations. The search consisted of the search related to the possibilities to measure the Arm Curl Test results with sensors in scientific databases, including PubMed Central, IEEE Explore, Elsevier, Springer, MDPI, ACM, and PMC, published from January 2010 to October 2022. The analysis included 30 studies from 15 nations with diverse populations analyzed. According to data extraction, the most prevalent sensors were chronometers, accelerometers, stadiometers, and dynamometers. In the investigations, statistical analysis predominated. The study shows how automated sensor technologies can objectively measure the Arm Curl Test. The detected sensors combined with statistical analysis techniques can enhance assessments. Applications for the Arm Curl Test may be improved even more with more research on cutting-edge sensors and algorithms. This evaluation offers insightful information about utilizing sensor-based automation to enhance Arm Curl Testing.</jats:p>
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    Ten meter walk test with mobile devices: A dataset with accelerometer, magnetometer, and gyroscope
    (Elsevier BV, 2024-02)
    Gabriel, Cristiana Lopes
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    Pires, Ivan Miguel
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    Gonçalves, Norberto Jorge
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    Coelho, Paulo Jorge
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