Titlebook: Information Technology for Education, Science, and Technics; Proceedings of ITEST Emil Faure,Yurii Tryus,Grygoriy Zaspa Conference proceedi

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Information Technology of IT-Projects Creative Managementg and training for the missing positions to correct the behavior of the team members. Afterward, the testing is repeated after a certain time interval. Proposed information technology for IT projects creative management has powerful scaling capabilities, which allow it to effectively cope with the i

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Optimizing Housing and Communal Services Management Through Digital Transformation and Integrated In in the activities of housing and communal services providers optimizes their activities while taking into account the features of their services, which include intangibility, immediacy, changeability, individuality, irreplaceability, continuity and saturation of needs. The implementation of digital

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Application of Digital Twins of Project-Oriented Productions in Digital Project Managementoject-oriented manufacturing within the proposed approach. Additionally, a method for planning enterprise activities using digital project and manufacturing twins, along with the goals and procedures for employing digital twins in digital project management, has been outlined. The authors highlight

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Information Technology for Determining Risk Levels and Their Priorities in Project Managementacy on a broader scale and with a greater number of criteria than the traditional Risk Matrix method, and the Analytic Hierarchy Process (AHP) method, which determines the priorities and ranks of risks to prevent and mitigate those with the highest priorities first. To implement this method, a Proje

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Application of Reduced Order Surrogate Models for Solving Inverse Problems by the Optimization Metho This is due to the use of the unique generalizing properties of artificial neural networks, which allows us to implicitly determine the patterns of the object‘s response to physical disturbances hidden in the data. In addition, the use of deep neural networks increases the accuracy of approximation

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Road Sign Recognition Using Convolutional Neural Networksy, the paper discusses implementing a software application that integrates the trained CNN model for real-time road sign recognition from images and videos. The application‘s graphical user interface allows users to upload data and visualise the detected and classified road signs, showcasing the pra

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