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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Item type:Publication, Colonoscopy image analysis for polyp detection: A systematic review of existing approaches and opportunities(Elsevier BV, 2025); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Virtual reality as a learning tool: Evaluating the use and effectiveness of simulation laboratories in educational settings(Elsevier BV, 2025-01-01); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An analytical review of optimization techniques in information retrieval for enhanced decision support(Elsevier BV, 2025-12); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Sensor-based systems for the measurement of Functional Reach Test results: a systematic review(PeerJ, 2024); Albuquerque, CarlosThe 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. - Some of the metrics are blocked by yourconsent settings
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); 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> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Ten meter walk test with mobile devices: A dataset with accelerometer, magnetometer, and gyroscope(Elsevier BV, 2024-02) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Feasibility analysis of an electrogastrography sensor for digestion detection(IEEE, 2023-03-20) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Advancing methods in big data capture, integration, classification and liberation(BioMed Central, 2023-04-27); Pires, Ivan MiguelThis special issue focuses on the importance of advancing research techniques for managing and analyzing data in today’s data-rich landscape. In this editorial, we set the context and invite contributions for a BMC Collection of articles titled ‘Advancing methods in data capture, integration, classification and liberation’. The collection emphasizes the need for efficient ways to standardize, cleanse, integrate, enrich, and liberate data, highlighting recent advancements in research methods and industrial technologies that facilitate this. We invite researchers to submit their best work to the collection and to showcase the latest advancements and additions to research techniques. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Wearable and mobile data analysis methodologies for personalized medicine(Frontiers, 2023-09-20); Garcia, Nuno MThe Frontiers in Digital Health Research Topic Wearable and Mobile Data Analysis Methodologies for Personalized Medicine aimed to receive contributions related to the multidisciplinary field of personalized and precision medicine, which encompasses physics, statistics, telemedicine, biomedical engineering, digital signal processing, artificial intelligence, system engineering, and health privacy and security. Information and communication technologies have changed the landscape of many knowledge and societal areas, and medicine included. Bringing technology to the end users (or patients), a larger share of users can engage in personalized and precision therapies. Numerous and diverse pathologies can be monitored remotely, and as a consequence, better monitoring of health-related information may not only empower people but also hold the promise of aiding in the early detection of diseases. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Smart Objects and Technologies for Social Goods(Springer Nature, 2023-03-15); Garcia, Nuno CruzThis book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Smart Objects and Technologies for social Goods, GOODTECHS 2022, held in Aveiro, Portugal, in November 16-18, 2022 The 7 full papers presented were selected from 18 submissions and issue design, implementation, deployment, operation, and evaluation of smart objects and technologies for social good. Social goods are products and services provided through private enterprises, government, or non-profit institutions and are related to healthcare, safety, sports, environment, democracy, computer science, and human rights.