This article explores the opportunities and challenges of integrating cloud, fog, and edge computing in the context of digital transformation. The analysis reveals that the synergy of these technologies enables optimization of big data processing, enhances system adaptability, and ensures information security. Special attention is given to hybrid architectures that combine the advantages of centralized and decentralized approaches. Practical aspects are addressed, such as the use of the ENIGMA simulator for modeling scalable infrastructures and the EC-CC architecture for smart grids and IoT systems. The role of specialized frameworks in optimizing routing and improving infrastructure reliability is also highlighted. The integration of these technologies drives advancements in key industries, including energy, healthcare, and the Internet of Things, despite challenges related to data security.

Keywords: cloud computing, fog computing, edge computing, hybrid architectures, Internet of Things, digital transformation, big data, decentralized systems, computing integration, distributed computing, data security, resource optimization, data transfer speed

The paper analyzes existing effective technologies of waste recycling and utilization. The authors consider various approaches in the international practice of recycling production and consumption waste. An assessment is given of the possibilities of using effective technologies for waste recycling and disposal and the necessary costs for their implementation in relation to the conditions of an industrial enterprise. The types and volumes of waste that can be recycled and disposed of irrevocably are considered, for which the carbon footprint parameters are calculated using the materials management model. A statistical regression analysis of data on the production, processing, disposal and incineration of polyethylene waste, solid municipal waste and paper was carried out. The principles of building a system for reducing technogenic risks and managing production and consumption waste were determined.

Keywords: waste processing; waste disposal; carbon footprint; carbon footprint calculation methods; man-made risk management system; hazardous impact factors; industrial waste management

The paper investigates the use of architectural combinatorics to solve the problems of multifunctional residential complexes in the conditions of digital transformation. The main methods of combinatorics, including conceptual and formal approaches, are considered. The main stages of evolution of the method, starting from constructivism, and the role of modern digital technologies such as BIM, parametric modeling, machine learning and artificial intelligence in the implementation of combinatorial approaches are described. Attention is given to sustainable architecture and optimization of spatial solutions. Successful and problematic project examples are analyzed. Limitations of the application of the technologies are analyzed, as well as ethical and social aspects of their use. The conclusions substantiate the significance of the method in the context of contemporary challenges.

Keywords: architectural combinatorics, combinatorial methods, multifunctional residential complex, sustainable development, sustainable architecture, adaptive architecture, digital technologies, BIM, parametric modeling, machine learning, artificial intelligence

The paper analyzes existing 3D printing technologies in the context of application in construction. The experience of 3D printing application in commercial projects is considered. Scientific research on the improvement of various technologies is summarized. 3D printing technologies promising for construction - wire-arc and ultrasonic additive manufacturing - are identified.

Keywords: 3D printing, construction, additive technologies

Mathematical modeling, numerical methods and program complexes (technical sciences). Geopolitical situation analysis of a number of episodes of the American Revolution in the context of applying structural balance and mathematical modeling methods. Structural balance management can help to find the most optimal strategies for interacting parties. This approach is used in a set of disciplines. In this article, the author analyzes examples of actors' interaction in the context of the American Revolution, which allows us to evaluate the state of affairs at this historical stage in an illustrative form. This approach is universal and is able to emphasize the management of structural balance in systems with actors, each of which has its own features and interests. A number of specific historical episodes serves as an example of the balanced and unbalanced systems. Each episode has its explanation in the frame of history. During the American Revolution, actors (countries and specific politicians, as well as indigenous peoples) had their own goals and interests, and their positive or negative interactions shaped the course of history in many ways.

Keywords: mathematical modeling, structural balance, discrete models, sign graph, U.S. history

The article is devoted to the development of a tool for automated generation of time constraints in the context of circuit development in the basis of programmable logic integrated circuits (FPGAs). The paper analyzes current solutions in the field of interface tools for generating design constraints. The data structure for the means of generating design constraints and algorithms for reading and writing Synopsys Design Constraints format files have been developed. Based on the developed structures and algorithms, a software module was implemented, which was subsequently implemented into the circuit design flow in the FPGA basis - X-CAD.

Keywords: computer-aided design, field programmable gate array, automation, design constraints, development, design route, interface, algorithm, tool, static timing analysis

The article presents an analysis of the application of the Socratic method for selecting machine learning models in corporate information systems. The study aims to explore the potential of utilizing the modular architecture of Socratic Models for integrating pretrained models without the need for additional training. The methodology relies on linguistic interactions between modules, enabling the combination of data from various domains, including text, images, and audio, to address multimodal tasks. The results demonstrate that the proposed approach holds significant potential for optimizing model selection, accelerating decision-making processes, and reducing the costs associated with implementing artificial intelligence in corporate environments.

Keywords: Socratic method, machine learning, corporate information systems, multimodal data, linguistic interaction, business process optimization, artificial intelligence

The article examines the modular structure of interactions between various models based on the Socratic dialogue. The research aims to explore the possibilities of synthesizing neural networks and system analysis using Socratic methods for managing corporate IT projects. The application of these methods enables the integration of knowledge stored in pre – trained models without additional training, facilitating the resolution of complex management tasks. The research methodology is based on analyzing the capabilities of multimodal models, their integration through linguistic interactions, and system analysis of key aspects of IT project management. The results include the development of a structured framework for selecting suitable models and generating recommendations, thereby improving the efficiency of project management in corporate environments. The scientific significance of the study lies in the integration of modern artificial intelligence approaches to implement system analysis using multi – agent solutions.

Keywords: neural networks, system analysis, Socratic method, corporate IT projects, multimodal models, project management

This article is devoted to a comparative analysis of methods for extracting knowledge from texts used to build ontologies. Various extraction approaches are reviewed, such as lexical, statistical, machine learning and deep learning methods, as well as ontology-oriented methods. As a result of the study, recommendations are formulated for choosing the most effective methods depending on the specifics of the task and the type of data being processed.

Keywords: ontology, knowledge extraction, text classification, named entities, machine learning, semantic analysis, model

The article analyzes traditional and flexible project management methodologies, their key features, advantages and limitations. Traditional methodologies such as the waterfall model and the critical path method rely on sequential planning that is suitable for projects with fixed requirements. Agile methodologies (Agile, Scrum) are highly adaptable, which is important for projects with frequent changes. The authors compare the conditions of application of both approaches and describe the criteria for choosing a methodology depending on the type and dynamics of the project. The article will be useful for both practitioners and researchers in the field of project management.

Keywords: project management, project management methodology, cascade model, critical path method, program evaluation and review technique, agile software development, critical path method

The concept of symbiosis of architecture, design objects and monumental and decorative art in the interiors of public buildings in the context of renovation of industrial facilities is aimed at preserving the historical identity of buildings, adapting them to modern functions and creating a unique aesthetic where architectural forms, design solutions and artistic elements form a single whole. Renovation of industrial facilities involves a number of challenges: the need to maintain a balance between history and innovation, the integration of artistic and functional aspects, as well as compliance with environmental standards. The use of recycled materials, hybrid technologies and "smart" interiors makes it possible to cope with these tasks. The concept of three components contributes to the creation of spaces that become cultural and social centers. Such projects inspire, emphasize the value of architectural heritage and open up new perspectives for the sustainable development of the urban environment, contributing to the formation of emotionally rich and functionally significant interiors that reflect the spirit of the times and preserve the connection with the past.

Keywords: renovation, industrial buildings, renovation of industrial buildings, public buildings, sustainable architecture, design, monumental and decorative arts, interiors of public buildings, historical heritage, interdisciplinary approach

The article analyzes modern approaches to the use of innovative materials to create an inclusive environment in residential buildings. The paper examines the main problems associated with the obsolescence of building materials, and offers promising solutions based on the use of adaptive and environmentally friendly technologies that enhance accessibility and comfort.

Keywords: inclusive environment, the problem of outdated materials, innovative materials, innovations, trends and prospects, bioplastics, carbon concrete, OLED panels, adaptive structures, accessibility, comfortable environment, design

The emergence of the city was associated with the need to organize water use, organize irrigation works, create its facilities, which in turn required the management of the organization of these works and the creation of facilities for the exploitation of water in agriculture. Finding an average balance between demand and availability of resources was a priority, especially for areas experiencing water shortages. Then, the reliability of available resources in conditions of drought or shortage became a key issue in order to cope with climate variability. In parallel, climate change will affect the spatial distribution and timing of water availability. As a result, in the future, water shortage in cities may become a much more serious problem, which may jeopardize the achievement of the UN Sustainable Development Goals (SDGs), especially "Sustainable Cities and Communities". Historically, since settlements were located some distance from water sources, a variety of sources and technologies for collection, transportation, treatment and waste collection emerged. Population growth and technological developments have led to the emergence of new forms of alternative resources capable of meeting the needs and specific requirements of water-related activities.

Keywords: sustainability of water resources, Syrian Arab Republic, rehabilitation, water-sensitive urban planning, building density, land use distribution

The article considers the strengthening of the upper chord of the triangular strut system as a method for restoring the bearing capacity of a glued laminated timber element according to the 1st group of limit states. The strengthening allowed us to obtain as a result of calculations a strength utilization factor not exceeding the limit value.

Keywords: triangular spacer system, upper chord, glued laminated timber element, modulus of elasticity, volumetric weight, compressive force, bending moment

The article discusses the use of carbon anchor harnesses to strengthen building structures. Their design features, installation technologies, and key advantages, including low weight, high strength, corrosion resistance, and durability, are described. An overview of existing experiments demonstrating the reliability of anchor harnesses under load, their effectiveness in preventing the stratification of external reinforcement elements and increasing the strength of joints is given. The shortcomings of the regulatory framework and the lack of practical recommendations on the selection and design of anchor harnesses are indicated. The authors emphasize the need for further research to optimize the interaction of the elements of the reinforced structure-external reinforcement-anchor system.

Keywords: anchor harness, carbon fiber, load-bearing capacity, structural reinforcement, teamwork

Determining the deformability of the bearing structures of the coating, as an indicator of the use of the stiffness of the cross-section of the elements, is an urgent task, which is aimed at solving the current work. The purpose of the article is a comparative calculation of frame structures under the assumption of a different coating truss solution. The following types of load-bearing roof trusses should be considered: segment truss, trapezoidal truss, triangular truss. The calculation of frames using wood as load-bearing structures for the total effect of permanent and short-term loads causing maximum vertical deformations is given. In this paper, the coefficients of using the rigidity of truss structures using wood are determined and the dependence of the stiffness value on the type of outline of the coating truss is established. A comparison of the calculation results with the normative maximum permissible values allowed us to establish the most effective type of outline of the wooden roof truss.

Keywords: coating truss, modulus of elasticity, stiffness, upper belt, slant, lower belt, computational study, through-hole construction, segmental truss

Based on statistical data, the article presents a solution to the problem of finding an empirical function that establishes a link between the tourist flow and the proportion of the area of specially protected areas from the total territory of the island. For the analysis, data was collected on 14 islands with a developed tourism industry. Power functions are obtained for two groups of islands with different areas. The obtained dependencies make it possible, at the stage of urban planning analysis of the territory, to determine the permissible value of the tourist flow, which ensures tourist activity based on the principles of sustainable tourism. Using this function, the maximum value of the allowable tourist flow for the island of Socotra has been set, the development of which is focused on the tourism industry.

Keywords: urban development analysis, tourist flow, specially protected natural areas, correlation dependence, approximation, sustainable tourism

The article is devoted to the study of traditional forms and climatic principles in architecture in ‎order to create a stylistic unity between residential and business buildings. The relevance of the ‎topic is due to the need for a harmonious combination of cultural heritage, modern requirements ‎for building functionality and sustainability in the context of global climate change and ‎urbanization.‎ The purpose of the work is to analyze the role of traditional architectural solutions and climatic ‎approaches in designing an energy-efficient and aesthetically attractive urban environment.‎ The research methods include a comparative analysis of historical and modern architectural ‎practices, the study of the influence of climatic conditions on the choice of forms, materials and ‎design solutions, as well as the analysis of implemented projects.‎ The results of the study show that the integration of traditional forms and climatic principles, ‎such as passive design, the use of local materials and modern technologies, contributes to the ‎creation of a sustainable urban environment. The paper emphasizes the importance of taking ‎into account the regional context, the use of natural resources and the introduction of ‎innovative technologies.‎ The conclusions emphasize the need for a synthesis of traditions and innovations for the ‎preservation of cultural heritage and the formation of a harmonious urban environment ‎combining comfort, environmental sustainability and a unique architectural appearance.‎

Keywords: traditional forms, climatic principles, architecture, stylistic unity, residential buildings, ‎business buildings, passive design, cultural heritage, innovative technologies, environmental ‎sustainability

The modern building material, slurry infiltrated fiber concrete - SIFCON, has not only high compressive and tensile strength, but also flexibility and ductility. These properties allow it to be used in nodes of building structures that perceive dynamic, shock, explosive loads, friction, as well as in the area of penetration of reinforced concrete slabs by columns. The paper describes experimental studies of the mechanical properties of samples from ordinary concrete and SIFCON. A comparison of the test results showed the superiority of SIFCON strength indicators over ordinary concrete by 2-4 times. For a wide range of specialists and students in the field of construction design, production of building materials.

Keywords: slurry infiltrated fiber concrete, steel fibers, cement mortar, flexibility, plasticity, energy absorption, water-cement ratio, superplasticizer, compressive strength, bending strength, splitting strength

The use of methods for strengthening soils with Portland cement makes it possible to increase the physical and mechanical properties of soils: strength, frost resistance, water permeability, etc. A technical understanding of the processes of structure formation in reinforced soils makes it possible to regulate the final properties and quality of the layers of highways. To describe the processes of structure formation, it is possible to use the theory of contact interactions and the theory of DLFO. The final properties of the reinforced soil are influenced by the following factors: mineralogy and specific surface area of the soil, water content, amount of cement, curing time and method of compaction.

Keywords: stabilized soils, structure formation of stabilized soils, stabilization with Portland cement, properties of stabilized soils

This study analyzes classical machine learning methods applied to the prediction of corporate bond yield spreads. Both linear methods, such as Principal Component Analysis and Partial Least Squares, and nonlinear methods, such as copula regression and adaptive regression splines, are examined. The study also explores the potential application of Random Forest models and classical neural networks. It includes a description of the data used for forecasting and presents some results of the empirical analysis. The findings have the potential to significantly impact practitioners and the scientific community striving to improve forecasting accuracy and optimize investment strategies.

Keywords: Machine Learning, Financial Engineering, Stock Market Modeling, Bond Market