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Information × Registration Number 0225U003132, (0122U001731) , R & D reports Title Development of theoretical foundations and new methods of processing, recognition, forecasting of human-oriented processes and systems to solve problems of artificial intelligence popup.stage_title Удосконалення розроблених методів штучного інтелекту, проведення комп’ютерних досліджень та створення інформаційних технологій дослідження людиноорієнтованих процесів та систем. Head Krak Yurii V., Доктор фізико-математичних наук Registration Date 22-05-2025 Organization Taras Shevchenko National University of Kyiv popup.description1 Improving human living standards, overcoming socially significant and dangerous effects on human health through the development of theoretical foundations and new effective mathematical methods for research and intelligent processing of large data sets of human-oriented processes and systems based on approaches to artificial intelligence, machine learning, neural network technologies, automation building models and systems of real-time processing, forecasting, clustering, classification of information and decision-making based on personalized data to identify new properties and knowledge and create on their basis breakthrough information technologies in education, public relations, gesture and visual communication, medicine, defense to assess, preserve, overcome negative consequences for human resources in critical situations. popup.description2 The project is dedicated to the development of theoretical foundations and new effective mathematical methods for research and intellectual processing of large data sets of human-oriented processes and systems based on methods and tools of artificial intelligence, machine learning, neural network technologies, automation of model building and real-time systems for processing, forecasting, clustering and classification of information. The approach proposed in this project is based on the development of new models for representing human-oriented information obtained from various data sources, for the purpose of use in information systems and decision-making systems, modeling and forecasting phenomena and events directly related to humans, or whose development has a significant impact on humans and society as a whole. During the project, new methods will be developed for identifying general and important information characteristics in large data sets of human-oriented information; new methods for studying human-oriented processes and systems using small sets of stable and controlled data coming from various sources, new methods for processing and using personalized information obtained about a person's state, methods for studying human-oriented processes in text, voice and visual forms, methods for preprocessing, noise removal, smoothing, alignment, and detection of anomalies in information; methods for statistical modeling of random processes and their use in the optimization of neural network training tasks, planning and conducting computational experiments have been developed and improved; conditions for stability and convergence assessment of neural network training processes in the case of their representation by differential-difference systems of equations have been obtained.  Product Description popup.authors Volchyna Iryna I. Kasianiuk Veda S. Liashko Andrii V. Manziuk Eduard A. Pashko Anatolii O. Stelia Оleh B. Khusainov Denys Ya. Shatyrko Andrii V. Shokha Tetiana B. popup.nrat_date 2025-05-22 Close