Scientific Problems Research Articles

How to enable human-centric collaboration in social product development paradigm: A practical and theoretical exploration

Since 2012, social product development (SPD) has emerged as a potential paradigm for new product development (NPD). However, the emerging SPD practices are difficult to remain and promote after their early success. The lack of sustainable human-centric collaborative settings will hinder the release of crowd-based collective intelligence in NPD. Currently, the core mechanisms of human-centric collaboration (HCC) in SPD are not clear. To narrow the gap between theory and practice, a two-way empirical study is conducted through an in-deep industrial practice investigation and theory-oriented research based on cooperative inquiry. An extreme case of a famous automotive company is sampled as the object of the cooperative inquiry. The proposed theoretical models are verified by two real SPD pilot projects. Inspired by the discipline of Collaborative Engineering, this study explores the HCC issues and it core mechanisms in the context of SPD. Two novel foundation theoretical models are developed to address the focused scientific problem and engineering challenge. A bottom-up model is developed to structurally elicit the HCC requirements and develop reasonable information modules for specific HCC work practices. A top-down model is developed to improve the manageability and reusability of the learnable experience from historical HCC work practices for better business-technology-system alignment. This study put forward novel theoretical models for designing and deploying collaborative work practices for HCC in SPD. A classification-based Descriptive Model of Collaboration (DMoC) is proposed, which is domain-agnostic and customized for SPD requirements. Our model inherits and outperforms in modelling capability than five other proven modelling approaches.

Modification of the polymeric admixture based on polycarboxylate ether using silica-derived secondary materials obtained from fly ash and the efficiency of its application in concrete

The rising energy prices and the costs of CO2 emissions into the atmosphere are forcing the construction industry to search for ways to reduce cement consumption in concrete technology by optimizing concrete mixtures and making greater use of chemical admixtures. The scientific problem lies in understanding how polymers modified with silica-derived secondary materials, such as those obtained from fly ash (e.g., synthetic zeolites, mesoporous silica), interact with the concrete matrix and influence their durability and strength. The present study investigated the effect of a polymeric admixture based on polycarboxylic ether (PCE) modified with silica-derived secondary materials obtained from fly ash (synthetic zeolites, mesoporous silica) on the physical and mechanical properties of concrete. The study considered the effect of the modified polymer admixture dosed in 3 different amounts (0.4%, 0.8% and 1.2%) by weight of cement on the fresh properties of the concrete mixture, i.e. consistency and air content. The research scope also included determining the physico-mechanical properties of the concretes and investigating the effect of the modified admixture on the frost durability of the cement composite. In order to study the modification of the concrete microstructure, XRD phase analysis and air pore structure analysis by MIP were carried out. The study showed an increase in compressive strength after 28 days of curing in concretes containing the modified polymer of about 8-12% compared to the reference concrete. In addition, it was observed that strength increased with increasing admixture dosage. The resulting pore structure, contributed to improving the frost resistance of the concretes by reducing compressive strength loss from about 14% in reference concretes to about 2-9% in concretes with the modified polymer after 150 cycles of alternating freeze-thaw. At the same time, it was observed that the use of the modified polymer resulted in an increase in weight absorption from 2% do 4.5%, a more than twofold increase in depth of penetration of water under pressure and a more than 70% increased total porosity. In conclusion, the polymer-modified MCM-41 can positively affect the mechanical and durability properties of concrete, but it causes a change in the pore structure, which could have a negative effect on water absorption and total porosity.

Physics‐Informed Neural Networks for the Augmented System of Shallow Water Equations With Topography

AbstractPhysics‐informed neural networks (PINNs) are gaining attention as an alternative approach to solve scientific problems governed by differential equations. This work aims at assessing the effectiveness of PINNs to solve a set of partial differential equations for which this method has never been considered, namely the augmented shallow water equations (SWEs) with topography. Differently from traditional SWEs, the bed elevation is considered as an additional conserved variable, and therefore one more equation expressing the fixed‐bed condition is included in the system. This approach allows the PINN model to leverage automatic differentiation to compute the bed slopes by learning the topographical information during training. PINNs are here tested for different one‐dimensional cases with non‐flat topography, and results are compared with analytical solutions. Though some limitations can be highlighted, PINNs show a good accuracy for the depth and velocity predictions even in the presence of non‐horizontal bottom. The solution of the augmented system of SWEs can therefore be regarded as a suitable alternative strategy to deal with flows over complex topography using PINNs, also in view of future extensions to realistic problems.

Influence of bolt creep induced pre-tightening force relaxation on dynamic response of the bolted joint system

The bolted joint is an important link that affects the accuracy maintenance of the heavy-duty machine tool. Due to bolts of the crossbeam are under a preload of several hundred kN for an extended period, the bolt gradually creeps and elongates as the machine tool's service time increases. This relaxation of the preload results in a degradation of the bolted stiffness, weakening the dynamic response of the bolted joint system. To reveal that the degradation law of crossbeam bolting performance of the heavy-duty machine tool induced by bolt creep, based on the Norton-Bailey(NB) model, a method for analyzing the creep of bolts with precision threads is proposed, and the influence of thread geometry and friction coefficient on the creep stress relaxation of bolts is studied. Considering the interface contact, an interface contact stiffness model is derived based on fractal theory. The dynamic equation of the bolted beam system is established using the Matrix27 stiffness matrix. The dynamic response of the bolted system, resulting from the degradation of interface stiffness due to bolt creep, is analyzed. The results show that the stress relaxation of bolt creep is not only related to creep parameters, but also related to the mate-thread interaction. The dynamic model with Matrix27 stiffness matrix is comparable to experiment in calculation accuracy and efficiency, which provides technical guidance for machine tool dynamics analysis and effectively solves the scientific problem of beam bolting performance degradation during the service of heavy-duty machine tools.

Experimental demonstration of improved quantum optimization with linear Ising penalties

Abstract The standard approach to encoding constraints in quantum optimization is the quadratic penalty method. Quadratic penalties introduce additional couplings and energy scales, which can be detrimental to the performance of a quantum optimizer. In quantum annealing experiments performed on a D-Wave Advantage, we explore an alternative penalty method that only involves linear Ising terms and apply it to a customer data science problem. Our findings support our hypothesis that the linear Ising penalty method should improve the performance of quantum optimization compared to using the quadratic penalty method due to its more efficient use of physical resources. Although the linear Ising penalty method is not guaranteed to exactly implement the desired constraint in all cases, it is able to do so for the majority of problem instances we consider. For problems with many constraints, where making all penalties linear is unlikely to be feasible, we investigate strategies for combining linear Ising penalties with quadratic penalties to satisfy constraints for which the linear method is not well-suited. We find that this strategy is most effective when the penalties that contribute most to limiting the dynamic range are removed.

Development of the market of digital financial assets in the context of ensuring financial sovereignty of Russia

Currently, in the context of limited external funding, the issues of forming the financial sovereignty of the country are becoming the subject of scientific discourse among Russian economists. The introduction of digital financial assets (DFA) into business practice and their legislative recognition largely ensures the expansion of investment opportunities for economic entities, which will contribute to the end of the stagnant macroeconomic shock of the period of 2021–2024. The work covers solving such scientific problems as clarifying the essential nature of DFA and developing their classification; assessing the process of functioning of the investment market based on the use of digital financial instruments; identifying key limitations in the functioning of the basic institutions regulating the DFA circulation. The authors proposed a clarified formulation of the economic category of digital financial assets, taking into account the peculiarities of its essential nature. An analysis of the functioning of the domestic DFA market is carried out. Among the factors hindering the development of the DFA market, its fragmentation, low liquidity, and weak institutional regulation of the issue and circulation of DFA are highlighted. The authors emphasize the positive effect of the development of the digital infrastructure of the market, in particular, the increase in the number of investment platforms licensed by the Bank of Russia, the reduction of costs of access to them, the development of a market-making system in the secondary market of digital financial assets. The authors believe that the leveling of the contradictions of the investment market should occur due to the improvement of the institutional environment in the field of strengthening control over transactions with digital financial assets, as well as ensuring their mandatory registration, which is absent at the present stage. The development of the domestic market of digital financial assets has significant potential due to, firstly, the desire of economic entities to replace traditional financial instruments with digital ones, which allow reducing significantly transaction and transformation costs; secondly, the expansion of investment opportunities for economic actors through the use of digital platforms and other elements of the digital ecosystem for the purpose of business development; thirdly, the transformation of the traditional business model, which provides for the transition from vertical interaction of entities to a network form of coordination of economic agents using decentralized financial instruments in their activities.

Медиатизированный дискурс православного студенчества об РПЦ

The article is devoted to the analysis of the modern Orthodox conservative mediatized discourse among student bloggers on the Telegram messenger platform. The relevance of the study lies in the lack of development of both the topic of mediatization of Orthodoxy and the topic of studying Orthodox conservatism in modern sociology. The study of this phenomenon in the work took place through the prism of a conceptual approach, which received the name "mediatization of religion" in scientific sociological literature. The scientific problem is that studies of the mediatization of Orthodoxy are no longer a new field, but their number is still small. A large number of religious groups that are currently forming and functioning are outside the field of view of researchers. The figurative approach, which took shape in the German school of studying mediatization, was chosen as the research method. The figurative approach re-actualizes the concept of “figuration” by Norbert Elias and considers modern communicative figuration in media through four components: communicative practices, media ensemble, frame of relevance and constellation of actors. The communicative figuration of modern Orthodox conservatism in the Telegram messenger was taken as the basis of our study, since this platform provides opportunities for discussion on social and theological issues. The purpose of the article is to describe this communicative figuration through its four components. In this regard, the objectives of the study were: a description of the context of formation and features of the modern stage of studying the mediatization of Orthodoxy; a characteristic of the 4 components of the communicative figuration of modern Orthodox conservatism among young people. The empirical part of the study was based on a series of expert, semi-structured interviews with the authors of Telegram channels included in the youth category and who are students of higher educational institutions. In total, 30 interviews were collected from March to August 2024, of which 5 were selected for the article. The results of the study demonstrated that at the moment there is a constellation of actors of modern Orthodox conservatism, in the youth pole of which a group of students can be distinguished. Orthodox conservative students build their own identity, based on the Orthodox tradition, but only in the form of moral prescriptions. They are practically not integrated into the existing structures of the Russian Orthodox Church. The frame of relevance of the communicative figuration of Orthodox conservatism considers Orthodoxy as an integral part of modern Russian culture and humanitarian science. But in the frame, there is also an opposition to liberalism, including church liberalism, which occurs on issues of the foundations of society.

Методологические проблемы отечественной экономической науки

The article is devoted to the study of methodological problems of domestic economic science. Modern economic science in Russia is going through a difficult stage of its transformation. The rejection of Western mentoring and the transition to sovereign thinking caused the renewal of theoretical views and practical approaches to solving economic problems. This could not but cause a close interest in the methodological foundations on which the science of economy is based. At the same time, many economists are still at a loss as to where to look for the necessary methodology: in philosophy, in history, in conceivable economic-theoretical constructions, or in something else. It should be kept in mind that the methodology of economic research belongs to the basic foundations of economic science and is the meta-theoretical level of economic knowledge. It is at this level that the trajectory of economic development and reflection on the practice of modernity are synthesised, from which, in turn, the principles, conclusions and proofs of many economic statements, theorems and theories are derived. The authors believe that dialectical-materialist methodology has not exhausted all its resources and possibilities and as a method of research of modern transformations occurring in the sphere of domestic economy, it may well serve as a guide to the creation of national economic theory.

Quantum Machine Learning: Bridging Quantum Computing and Artificial Intelligence

Abstract: This comprehensive article explores the burgeoning field of Quantum Machine Learning (QML), examining its foundational principles, key algorithms, and potential applications. We delve into the fundamentals of quantum computing, including qubits, quantum gates, and the challenges of quantum measurement and decoherence. The article provides an indepth analysis of Quantum Support Vector Machines (QSVM) and Quantum Neural Networks (QNN), comparing them with their classical counterparts and highlighting their unique advantages and limitations. We investigate the promising applications of QML in material science, cryptography, and optimization problems, showcasing its potential to revolutionize drug discovery, secure communication, and complex problem-solving. The review also addresses the significant challenges facing QML, including hardware constraints, error correction, algorithm development, and integration with classical systems. By synthesizing current research and identifying future directions, this article offers a comprehensive overview of QML's transformative potential in artificial intelligence and computational science, while acknowledging the hurdles that must be overcome to fully realize its capabilities.

ПРО ОБЧИСЛЕННЯ ІНСОЛЯЦІЇ ПРИМІЩЕНЬ

Solar radiation has a significant both positive and negative impact on all processes of human life. The construction and operation of both residential and industrial buildings requires an analysis of the sun's influence. Among the areas of scientific research related to solar radiation, the following are particularly relevant: solar energy, the impact of the sun on building envelopes, achieving solar comfort in residential and industrial buildings, and ensuring sanitary and hygienic standards. Insolation is defined as the amount of solar radiation inflow calculated in calories per unit area of a horizontal surface per unit time. Methods for calculating insolation can be divided into two types: geometric and energy-based. The insolation level of residential premises is regulated by state construction legislation. According to the current standards, the duration of insolation of residential premises should be at least 2,5 hours between 22 March and 22 September. These standards define and recommend calculation methods. They are mainly geometric. Energy-based methods for calculating insolation are more dynamic and subject to change, as they take into account the properties of materials. And building materials are constantly being modernizedф and have different reactions to solar radiation. On the other hand, energy-based methods of calculating insolation are more accurate and take into account more factors directly related to a particular building or room. Therefore, a comparative analysis of indoor insolation calculated by different methods is an urgent scientific problem. The development of computer research methods opens up wide opportunities for modelling the insolation state of a dwelling at the design stage. In this paper, an object-oriented method for calculating insolation for residential and industrial premises is developed. This makes it possible to build a spatial picture of the room's irradiation and demonstrate the impact of changes in input parameters on this process.

SUPPORT MEASURES FOR WOMEN SCIENTISTS IN KAZAKHSTAN

The research is devoted to the problem of gender inequality in the sphere of science in the conditions of sustainable development. The purpose of the article is to analyse measures to support women scientists in the digital space of Kazakhstan. The study used the methods of illustrative and content analysis. The results of illustrative analysis show that there is gender equality in science, but there is inequality in engineering and technological sciences. The results of content analysis show that since 2017, the issue of supporting women scientists with different activities is rarely raised, but specific financial, material and moral support is not observed. Therefore, an optimal model of financial support for women scientists to improve the social life and quality of development and research was developed. The theoretical significance of this article is to close the gap in the scientific problem of gender inequality. Practical significance can be reflected in programs, strategies and projects of public and private institutions. Keywords: gender, science, women scientists, inequality, financial support.

Ғылыми шығармашылықтың философиялық аспектілері

The article is devoted to an urgent problem in epistemology, which studies the essence and nature of scientific creativity, as well as its philosophical aspects. Without creativity, it is impossible to effectively solve any scientific problem or make a scientific discovery. Scientific creativity, as a special human activity, is a constructive process aimed at meeting the needs for the creation of new spiritual and material values. Creativity is characterized by opposition to dogmatism. The essence and features of scientific creativity are investigated through the method of philosophical analysis. The purpose of the article is to analyze aspects of scientific creativity, taking into account its connection with intuition. The paper presents a description of the main features of scientific creativity, including philosophical traditions, methodological, ethical, social and psychological aspects, as well as critical thinking. The method of intuitionism in scientific creativity is studied on the basis of the primary sources of A. Bergson, as well as the concept of Bergsonism in the works of J. Deleuze. The article traces the evolution of ideas about intuition from the origin of philosophical thought to the present. The relationship of scientific creativity and intuition with the psychology of a scientist is considered through the works of J. Adamera on Poincare and the concept of “personal knowledge” by M.Polani. The authors investigated the influence of intuition on the ethics of a scientist and the decision-making process in the scientific field.

DEVELOPMENT OF SELF-MANAGEMENT, TEAMWORK, LEADERSHIP, TIME MANAGEMENT SKILLS THROUGH PROJECT ACTIVITIES

The article is devoted to the development of the principles of project activities. In the state compulsory education standard, projects are used as a form of state final certification. Because project activity arouses interest, allows you to develop social skills in the process of group interaction, acquires research experience, and forms skills such as creative thinking. Acquired skills increase the level of motivation of students, allows to increase the initiative of students.The article analyzes the contentof project activities based on documents in the field of education. Pedagogical literature was effectively used in revealing the historical aspects of the project. The effectiveness of applying project activities to students is the development of self-management skills, teamwork, leadership, and time management. The effectiveness of the formation of students' skills through project activities in the study of biological disciplines has been studied. The development of these skills in solving problems that we face in life has a positive effect on their becoming a person. In improving the quality of education, it is important to form scientific thinking in the process of teaching biology that meets academic requirements and objectively assess a specific scientific problem, determine ways to solve it. Each project action represents a specific situation in which solutions are required using logical analysis. During the experiment, experiments on the formation of cognitive interest, demonstration of biological and other methods were used. During the writing of the scientific article, the results of an experiment on the development of self-management skills, teamwork, leadership, and time management through project activities were summarized. The authors conducteda comparative analysis of the results of the assessment of students' project skills before and after the completion of the project. It can be concluded that training based on project activities and self-management skills, teamwork, leadership, and time management is in demand today.

Коммуникация студенческой молодежи с органами местного самоуправления в социальных медиа

Digital technologies, including in the field of communication between government bodies and the population, are actively used in the context of achieving the goal of digital transformation. Young people use social networks in their everyday lives as forms, mechanisms, technologies of self-realization, self-expression, selfsearching and simply life. Students are one of the most active groups of young people who not only master professional competencies in the learning process, but also get involved in the socio-political agenda of their city, region, country. How familiar, understandable and natural is it for them to interact with local government bodies in social networks? The scientific problem of the study is the lack of empirically substantiated information on the attitude of students to the potential of digital communication with local public authorities in social networks. The authors use the Mix research strategy. The accounts of municipal administrations of the Sverdlovsk region (N=73), as well as the accounts of heads of municipalities (N=71) in the social network VK were analyzed using parsing tools. The data are supplemented by the results of qualitative in-depth interviews with student youth (N=26). The analysis showed that young people do not consider social networks as a channel for dialogue and two-way communication with local governments due to low awareness of the existence of municipal administration accounts in social networks, lack of understanding of how to build a dialogue through this channel and low trust in this communication channel as effective, lack of examples of constructive solutions to issues through social networks. At the same time, the involvement of young people in communication in social networks is higher in the personal accounts of heads of municipalities, but, at the same time, there are fewer young people subscribed to such accounts. To build a dialogue with municipal authorities through social networks, it is necessary to demonstrate to youth the possibilities of communication with municipal administrations in social networks in the context of not only openness and transparency of power, but also involvement in the development and adoption of management decisions.

Transmission and Dissipation of Vibration in a Dynamic Vibration Absorber-Roller System Based on Particle Damping Technology

The research of rolling mill vibration theory has always been a scientific problem in the field of rolling forming, which is very important to the quality of sheet metal and the stable operation of equipment. The essence of rolling mill vibration is the transfer of energy, which is generated from inside and outside. Based on particle damping technology, a dynamic vibration absorber (DVA) is proposed to control the vertical vibration of roll in the rolling process from the point of energy transfer and dissipation. A nonlinear vibration equation for the DVA-roller system is solved by the incremental harmonic balance method. Based on the obtained solutions, the effects of the basic parameters of the DVA on the properties of vibration transmission are investigated by using the power flow method, which provides theoretical guidance for the selection of the basic parameters of the DVA. Furthermore, the influence of the parameters of the particles on the overall dissipation of energy of the particle group is analyzed in a more systematic way, which provides a reference for the selection of the material and diameter and other parameters of the particles in the practical application of the DVA. The effect of particle parameters on roll amplitude inhibition is studied by experiments. The experimental results agree with the theoretical analysis, which proves the correctness of the theoretical analysis and the feasibility of the particle damping absorber. This research proposes a particle damping absorber to absorb and dissipate the energy transfer in rolling process, which provides a new idea for nonlinear dynamic analysis and stability control of rolling mills, and has important guiding significance for practical production.

Scientific problems of ensuring technological sovereignty in the field of artificial intelligence technologies

The article discusses the scientific problems of ensuring technological sovereignty in the field of artificial intelligence technologies. One of the key scientific problems is computer modeling of human cognitive functions with finite resources, which provide the ability to process and analyze finite–dimensional and infinite-dimensional data along with finite-dimensional ones. A well–known solution to this problem is the A.N. Tikhonov regularization method, due to the high complexity and cost of implementation of which, less complex and expensive empirically constructed foreign INS are used to build AI solutions, but without guarantees of error-free results. The consequence of this is a rather low level of implementation of AI solutions in industry and in the field of information technology and a practical lack of data on the economic effect. It is proposed to consider the economic efficiency of domestic AI solutions as the main criterion for the need for their development.

Lines of antagonism in the scientific community and the aggravating youth factor

The work is devoted to the analysis of key attitudes within the scientific community, on which, as expected, the image of the scientific and technological future of Russia directly depends. It has been established that the civilizational self-identification of researchers largely does not coincide with the sentiments of the general public. A cautious and often skeptical attitude towards the mobilization of science, increased emigration sentiments among scientists, primarily young ones, allowed the authors to conclude that the country’s scientific community is in crisis, antagonistically divided by contradictions regarding basic value orientations and management issues. The unifying factor is the need for comfortable working conditions and the demand for science by the state and society. It was quantitatively determined that only half of the researchers adhere to pro-state sentiments and could potentially be usefully involved in solving scientific and technical problems. The other half of the scientific community becomes at least a group of opponents who have doubts or are undecided regarding the scientific and technological course. The youth wing of science, as it turns out, is largely imbued with cosmopolitanism and therefore does not represent an anti-crisis force. Strengthening the mobilization readiness of the scientific community and resolving its internal conflicts is considered from the point of view of improving the quality of science management, including effective personnel policies.

Improving Performance of Cluster Heads Selection in DEC Protocol Using K-Means Algorithm for WSN.

Wireless sensor networks (WSN) have found more and more applications in remote control and monitoring systems. Energy management in the network is crucial because all nodes in the WSN are energy constrained. Therefore, the design and implementation of WSN protocols that reduce energy depletion in the network is still an open scientific problem. In this paper, we propose a new clustering protocol that combines DEC (deterministic energy-efficient clustering) protocol with K-means clustering, called DEC-KM (deterministic energy-efficient clustering protocol with K-means). DEC is a very energy-efficient clustering protocol that outperforms its predecessors, such as LEACH and SEP. K-means ensures more effective clustering and shorter data transmission distances within the network. The shorter distances improve the network's lifetime and stability and reduce power consumption. Additional heuristic rules in DEC-KM ensure improved cluster head selection, taking into account node energy level and position and minimising the risk of premature cluster head exhaustion. The simulation results for the DEC-KM protocol using MATLAB show that cluster heads have shorter distances to nodes in cluster areas than for the original DEC protocol. The proposed protocol ensures reduced energy consumption, outperforms the standard DEC, and extends the stability period and lifetime of the network.

Специфика психических состояний осужденных женщин, содержащихся в местах лишения свободы с малолетними детьми

Introduction. The aim of the empirical study was to research the mental states of convicted women with young children. The study sample consisted of 153 convicted women with young children serving their sentences in a correctional institution. The study was conducted on the basis of the State Department of the Federal Penitentiary Service of Russia for the Kemerovo Region, the Federal Penitentiary Service of Russia for the Moscow Region, the Federal Penitentiary Service of Russia for the Vladimir Region, the Federal Penitentiary Service of Russia for the Republic of Mordovia. The scientific problem is to study the mental states of convicted women with young children. Research methods and techniques. The following set of methods was used to study mental states: ‘16-factor personality questionnaire - 16 PF’, form C (R. Kettell), “Depression scale” (A. Beck), clinical questionnaire for identification and assessment of neurotic states (K. K. Yakhin, D. M. Mendelevich), methodology for determining the dominant mental state “Dominant state” (L. V. Kulikov), questionnaire for studying the level of aggression (A. Bass and A. Darkey). The results of the conducted research were the identification of mental states of convicted women in prison with young children. It was established that negative mental states (tension, emotional instability, frustration, anxiety, irritation, depression, anxiety) prevail among these women.They are expressed fatigue, hysteria, vegetative disorders, which are manifested in unpleasant or painful somatic sensations. A high level of aggression and hostility has been diagnosed. The revealed negative mental states need timely psychological correction.

Actual problems of remote patient monitoring

Remote patient monitoring (RPM) is an innovative technology that provides continuous monitoring of patients' health from a distance. The RPM system is versatile because it can be used in the treatment of acute and chronic conditions, helping doctors keep their patients under control between ward rounds or the absence of personal care. However, the implementation of this system is accompanied by numerous problems: from technical to hospital staff management problems. The object of this study is the technical challenges associated with the use of the RPM system. The problem lies in the imperfection of many elements of RPM, including: data management, sensor accuracy, compatibility and user acceptance of the technology. The research found that these technical challenges arise from insufficient standardization, poor sensor data quality, and interoperability issues between medical platforms. These results are explained by the complexity of the technological infrastructure and the need to improve the qualifications of medical workers. The main goal of the current article is to solve the scientific and technical problem of RPM through the proposal of an effective practical development - an automated system for remote monitoring of patients. Since most processes are moving towards their automation, by using the latest scientific developments, among which we can recall machine learning and neural networks and Internet of Things (IoT) technology, it was decided to consider the factors of their application in remote patient monitoring systems. The results of this study can be used to optimize RPM systems in hospitals, as well as to improve the reliability and efficiency of new automated monitoring systems, which is extremely important in the context of war, which causes a shortage of medical personnel and an increase in the number of potential patients per doctor.