The article is devoted to the study of the problem of estimating unknown parameters of linear regression models using the least absolute deviations method. Two well-known approaches to identifying regression models are considered: the first is based on solving a linear programming problem; the second, known as the iterative least-squares method, allows one to obtain an approximate solution to the problem. To test this method, a special program was developed using the Gretl software package. A dataset of house prices and factors influencing them, consisting of 20640 observations, was used for computational experiments. The best results were obtained using the quantreg function built into Gretl, which implements the Frisch-Newton algorithm; the second result was obtained using an iterative method; and the third result was achieved by solving a linear program using the LPSolve software package.

Keywords: regression analysis, least absolute deviations method, linear programming, iterative least squares method, variational weighted quadratic approximation method

The article presents aspects of designing an artificial intelligence module for analyzing video streams from surveillance cameras in order to classify objects and interpret their actions as part of the task of collecting statistical information and recording information about abnormal activity of surveillance objects. A diagram of the sequence of the user's process with active monitoring using a Telegram bot and a conceptual diagram of the interaction of the information and analytical system of a pedigree dog kennel on the platform "1С:Enterprise" with external services.

Keywords: computer vision, machine learning, neural networks, artificial intelligence, action recognition, object classification, YOLO, LSTM model, behavioral patterns, keyword search, 1C:Enterprise, Telegram bot

A set of techniques for obtaining retrospective, statistical, expert information, data integration, competence deficit assessment and knowledge management to compensate for competence deficit in organisational systems is presented. For the purpose of practical implementation of an integrated approach to improving the management of organisational systems, a model and an algorithm for obtaining data by applying a set of techniques have been developed. In the future, the proposed methodological solutions will significantly improve the efficiency of organisational systems management through the rational application of automated management systems with components of trusted artificial intelligence.

Keywords: algorithm, critical events, integration, information resources, recommendations, systematisation, efficiency

Abstract: During the colonial period, the urban development policy of Guangzhou changed dramatically. These changes were the result of the collision and interaction of social, economic, cultural and other factors. This article examines the features of Guangzhou's urban development policy during the colonial period. By identifying and analyzing the features of Guangzhou's urban planning at different times during the colonial period, its changing urban development characteristics are explored. Knowledge of the spatial characteristics of Guangzhou's architectural environment during the colonial period provides a basis for future development of the foundations for the preservation and sustainable development of modern Guangzhou and other cities in China.

Keywords: Guangzhou, colonial period, opium wars, urban development policy, features of urban planning

The article presents a comparative analysis of the results of verification calculations of a monolithic reinforced concrete floor slab and full-scale tests, and also formulates the main factors affecting the accuracy of determining the bearing capacity of monolithic reinforced concrete structures when performing verification calculations. In accordance with regulatory documentation, the bearing capacity of building structures is determined by performing verification calculations according to current design standards and conducting full-scale tests (if necessary) to confirm the bearing capacity established by the calculations. In modern practice of technical inspection, full-scale tests are extremely rare due to their high labor intensity and the complexity of interpreting the results. However, it is full-scale tests that allow the most accurate determination of the bearing capacity of a structure. This makes it possible to correctly assess the technical condition, optimize the development of strengthening projects due to a reasonable choice of method, accurate calculation of the required volumes of work and, as a result, minimize material costs.

Keywords: bearing capacity, full-scale tests, verification calculation, reinforced concrete, floor, deflection, limit state groups, technical inspection

The article discusses machine learning methods, their application areas, limitations and application possibilities. Additionally highlighted achievements in deep learning, which allow obtaining accurate results with optimal time and effort. The promising architecture of neural networks of transformers is also described in detail. As an alternative approach, it is proposed to use a generative adversarial network in the process of converting a scan into elements of a digital information model.

Keywords: scanning, point cloud, information model, construction, objects, representation, neural network, machine learning

The article formulates the task of developing a fire safety management procedure based on a risk-based approach, taking into account the preferences of the decision maker in the multi–criteria system "result - cost – time". A multi-criteria mathematical model of the procedure under consideration has been developed, as well as an algorithm for its implementation with the development of information technology and a test case.

Keywords: risk-based approach, fire risk, decision support systems, Pareto-optimal solutions

This paper describes a virtualized environment designed to conduct comprehensive experiments involving peer-to-peer networks and information security algorithms. The architecture is based on integrating the VMware hypervisor with the EVE-NG network device emulation platform, providing flexible resource allocation and realistic topology simulation. A MikroTik router serves as the central node, enabling a “star-shaped” scheme of interaction among virtual machines running various operating systems (Windows 7, 10, 11, Linux Debian). The chosen configuration simplifies testing the multiple initial connections and multi-level cryptography algorithms, ensures stable routing, and supports further automation of software installation using Bash or PowerShell scripts.

Keywords: information security, virtualized environment, multiple initial connections, peer-to-peer network, virtual private network

Introduction: Mobile Gaming Addiction (MGA) has emerged as a significant public health concern, with the World Health Organization recognizing it as a gaming disorder. Russia, with its growing mobile gaming market, is no exception. Aims and Objectives: This study aims to explore the feasibility of using neural networks for early MGA detection and intervention, with a focus on the Russian context. The primary objective is to develop and evaluate a neural network-based model for identifying behavioral patterns associated with MGA. Methods: A proof of concept study was conducted, employing a simplified neural network architecture and a dataset of 101 observations. The model's performance was evaluated using standard metrics, including accuracy, precision, recall, F1-score, and AUC-ROC score. Results: The study demonstrated the potential of neural networks in detecting MGA, achieving an F1-score of 0.75. However, the relatively low AUC-ROC score (0.58) highlights the need for addressing dataset limitations. Conclusion: This study contributes to the growing body of literature on MGA, emphasizing the importance of considering regional nuances and addressing dataset limitations. The findings suggest promising avenues for future research, including dataset expansion, advanced neural architectures, and region-specific mobile applications.

Keywords: neural networks, neural network architectures, autoencoder, digital addiction, gaming addiction, digital technologies, machine learning, artificial intelligence, mobile game addiction, gaming disorder

The article explores a model in which it is possible to predict the timing of obsolescence of a construction site. The purpose of the described techniques is to ensure stable operation and reliable operation of facilities. The presented methodological approaches make it possible to improve the accuracy of the assessment of degradation processes, covering both technical elements and structural parts of buildings and infrastructure systems. The article focuses on effective tools and methods used to survey the current state of real estate, as well as to anticipate changes in their performance over time. The paper considers the application of a generalized computational wear scheme that demonstrates changes in the organization and destruction of building elements throughout the service life. This scheme takes into account the continuous influence of external conditions on the structure of the structure. The universal formula proposed for the analysis serves as a research tool and displays the course of changes in the state of technical systems under the influence of prolonged loads.

Keywords: organizational and technological solutions, reliability, quality control, monitoring of compliance with standards, efficiency, production costs

For neural network algorithms to work successfully when processing 3D point clouds, it is necessary to provide a detailed point cloud of the external environment. A similar task arises when a manipulative robot is operating in a new environment, where before processing a cloud of scene points, it is necessary to obtain a detailed representation of the external environment using an RGB-D camera mounted on the end link of the robot. To solve this problem, this study proposes an algorithm for adaptive control of a manipulative robot to build a model of the external environment. By applying an adaptive approach, during the research of the external environment, the manipulative robot moves the RGB-D camera, taking into account the changes in the current environment model introduced by the previous RGB-D image. The results obtained allow us to judge the effectiveness of the proposed approach, showing that due to adaptability, it allows us to achieve high scene coverage rates.

Keywords: environment model, manipulative robot, adaptive control algorithm, surface reconstruction, RGB-D camera, visual information processing, TSDF volume

This article examines the key features of the functional planning and architectural spatial organization of the typological group of public buildings and structures in the renovation of industrial buildings in coastal areas in order to create promising models of two different types of multifunctional spaces: creative clusters and multifunctional complexes. Both approaches take advantage of the structural and spatial advantages of these buildings while simultaneously implementing modern architectural and environmental techniques. For both types of renovation, adaptive space reuse, integration of green elements, sustainable energy solutions, increased accessibility, and preservation of industrial heritage are common methods. The specific changes for creative clusters include the transformation of the main workshops into flexible exhibition and cultural spaces, the inclusion of artistic elements and the creation of public areas. Conversely, multifunctional complexes turn these spaces into office areas, coworking areas, commercial premises and residential apartments. Overall, these renovation models not only revitalize the physical environment, but also contribute to the cultural, social and economic development of coastal urban areas, creating an incentive for future urban renewal projects.

Keywords: architectural and ecological renovation, industrial buildings, sustainable development, creative clusters, multifunctional complexes

The article presents the results of static and dynamic calculations of a 14-storey administrative building with two underground floors. The building is located in the city of Sochi. The seismicity of the construction area is 9 points. As a result of calculations under seismic influence, characteristic isofields of movements of the building system in different directions, stress isofields in load-bearing monolithic reinforced concrete floors, and force plots in core elements were obtained. According to the results of the verification calculations of the load-bearing reinforced concrete structures of the building frame, it was revealed that the strength of the individual columns of the underground floors of the building is not ensured. Options for reinforcing columns using various options are presented: classic reinforced concrete cage, metal cage, pasting with composite tapes, steel-reinforced concrete cage. As a result of comparing all reinforcement options, the most optimal reinforcement option was adopted from the point of view of technology, economic feasibility and strength parameters.

Keywords: steel-fiber concrete, seismic, strength, reinforcement, dynamic calculation, cage, column, building, composite, comparison

A non-stationary system of automatic speed control of a DC motor with an adaptive controller is considered. Comparative simulation modeling in Simulink of the system with and without an adapter is performed. The results of the modeling confirm the stability of the adaptive system in a larger range of change of the non-stationary parameter compared to the conventional system. At the same time, the speed and quality of transient processes are maintained at the level recommended for such systems.

Keywords: automatic control system, non-stationarity, adaptive controller, subordinate control system, electromechanical object, DC motor

The method of synthesis of control of a territorially distributed complex technical system with metrological support is presented. The synthesis method is based on the method for identifying the parameters of a stationary semi-Markov model of operation of a complex technical system, developed by the author, based on solving a system of algebraic equations, which includes the linear invariants of the semi-Markov stationary model identified in the article. The results of modeling changes in the parameters of a complex technical system are presented, taking into account the current state of the fleet of complex technical systems with an optimal choice of the interval between checks, rational use of redundancy and stationary maintenance. The obtained results can find application in the decision support system for managing a fleet of complex technical systems. by choosing the optimal interval between checks, using redundancy and carrying out stationary maintenance.

Keywords: park of complex technical systems, control synthesis method, system invariants