Süni intellekt və rəqəmsal inkişaf. (2024)

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14684/131

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Browsing Süni intellekt və rəqəmsal inkişaf. (2024) by Author "Kamala Zamanova"

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    On the Development of a System for Applying Artificial IntelligenceTechnologies to Process Scientometric Data.
    (Azerbaijan National Academy of Sciences, 2024-07-17) Fariz Imranov; Hasan Nagiev; Kamala Zamanova
    The report is dedicated to the application of artificial intelligence systems toenhance the efficiency of scientific institutions. The goal of the research was to identify,analyze, and develop a methodology for implementing the potential functional capabilities ofan AI system using Python modules based on modern technologies. The report indicates thatthe synthesis of an intellectualized information analysis system based on such digitaltechnologies, with the Python-Django platform, provides a suitable environment that is quiteappropriate.The proposed intellectual system is intended to cover all institutions of the AzerbaijanNational Academy of Sciences and be realized through the Django ORM model of the existing"IREMB" system, which was developed and is currently used in the "Electronic Academy"department. This model includes the scientific activities, publications, and thematicconnections of the institutes and their employees. It is planned to develop a system foranalyzing and grouping scientific personnel based on similar publications, utilizing artificialintelligence.The research methodology consists of four main stages. These include data collection, dataanalysis, system modeling, and system enhancement. The stages also involve the system'sapplication and adaptation to the environment, alongside the algorithmization of functions suchas modeling and improvement. The report shows that a high-level intellectual analysis andevaluation system can automatically group scientific workers' publications by theme, usingmachine learning methods.As a result of the system's implementation, progressive outcomes are expected, such asimproving the quality of scientific research and correctly directing the potential of scientificpersonnel by achieving high efficiency in the analysis of scientific information. The applicationof such a system can contribute to optimizing the work of scientific personnel and making moreeffective use of their potential.