In the context of rapid urbanization of society, modeling the processes of sustainable urban development has attracted considerable attention from scientists. This paper presents a study of fuzzy cognitive maps (FCMs) as an interdisciplinary model for simulating urban development processes. This highlights the versatility of FCM in integrating expertise and quantifying the impact of indicators that shape urban space, from infrastructure and housing to environmental sustainability and community well-being. The study uses a synthesis of an extensive literature review and expert opinions to create and refine a cognitive map tailored for municipal development. The methodology outlined formulates a systematic approach to selecting concepts, assigning weights, and validating the model. Through collaboration with cross-disciplinary experts, the study confirms the value of FCM for identifying cascading effects in the decision-making process when shaping urban development strategies. Recognizing the limitations of expert methods and the fuzzy nature of data, the article argues for the effectiveness of FCM in not only identifying but also addressing emerging urbanization problems. Ultimately, this article contributes a nuanced perspective to strategic planning discourse by advocating for the use of NCC as a management decision support tool that can assist policymakers in achieving a sustainable and equitable urban future.

Keywords: fuzzy cognitive maps, urban development, urban planning, sustainable urbanization, expert systems, social well-being

In today's world, facial recognition is becoming an increasingly important and relevant task. With the development of technology and the increasing amount of data, the need for reliable, accurate and efficient face recognition systems increases. Neural networks demonstrate high efficiency in solving computer vision problems and have great potential for improving existing mathematical models of face recognition. This paper is devoted to the study of methods for human face recognition, the Viola-Jones algorithm will be discussed in detail, which, which can be applied in the task of face recognition using neural networks. It will also analyse techniques for training deep learning models using libraries that also use the Viola-Jones algorithm and describe an algorithm for using the trained model in an API that can be used in desktop and mobile applications.

Keywords: biometric identification, human face recognition, mathematical models, face recognition methods, deep learning, convolutional neural networks, tensorflow

A brief analysis of dependencies for calculating the punching of reinforced concrete slabs used in domestic and foreign design standards is presented. The results of an experimental study on experimental samples of the strength of a monolithic floor slab with a central punching by column of square and rectangular cross-sections are presented. Comparative analysis of experimental and calculated values of destructive loads showed a significant excess of the calculated values for the sample with a rectangular column. The observed excess of the calculated values of destructive loads over the experimental values is due to the presence of features of the stress-strain state in the zone of punching for rectangular columns. The excess of the calculated value of the destructive load over the experimental value noted during tests indicates a decrease in the structural safety of such interface nodes in the monolithic girderless frame of buildings.

Keywords: reinforced concrete, monolithic girderless frame, punching, loading platform, prototype, destructive load, prismatic strength, deformation, strain gauge

The article is devoted to the study of the possibility of applying the methods of system analysis in modeling the process of pasteurization of milk. The paper discusses structural-parametric, functional-operator, informational and target management models for a convenient "description" of the pasteurization process. The resulting models and their coefficients describing the process of pasteurization, based on the methods of system analysis, are suitable for the practical solution of the problem of managing the production process. The authors applied functional risk analysis and identified the risks of milk pasteurization.

Keywords: system analysis, pasteurization, milk, risk, modeling, process, functional risk analysis, system analysis, model, production