Telemedicine is gaining increasing global popularity as a modern technology for providing medical services, involving the exchange of various types of medical information between remote locations. The current state of development of telemedicine in Ukraine does not fully meet today's needs and challenges due to the lack of defined directions for the development of telemedicine...
A systemic analysis of gender equality trends in the field of digital education and information technology in Ukraine for the period 2019–2025 was carried out using modern learning analytics methods. The research is based on representative statistical sources – data from the Unified State Electronic Database on Education (EDEBO), UNESCO and OECD reports, and Coursera Global...
The conceptual foundations of a lean learning monitoring system have been substantiated and developed as a digital tool for enhancing the quality of educational services at KNUCA in alignment with international ESG standards. The research is aimed at addressing the transition from traditional administrative management to a flexible sustainable development model based on...
The article is a comprehensive study on the development, analysis and application of information technology for the formation of principles of organization of business process models in higher education institutions. Particular attention is paid to the management of information flows in the process of the information management system of higher education institutions, allowing...
At present, higher education institutions (HEIs) employ a model of software-based protection and resource load auditing, the key feature of which is the ability to independently manage automated educational systems in manual mode with direct access. At the same time, this advantage actually turns into a significant disadvantage, since the operation of such a model requires...
The relevance of the work stems from the increasing load on urban transport infrastructure, the need to implement environmentally oriented solutions, and the growing requirements for the versatility and scalability of software systems operating within the "smart city" concept. The study focuses on ride-sharing services. The paper substantiates the feasibility of a crossplatform...
The problem of distributing work volumes at different stages of construction or reconstruction of engineering networks is solved, taking into account the current state of communal utility systems. The problem is formulated considering the conditions of initial information uncertainty and the prospective development of the engineering network. The proposed mathematical model is a...
The article explores the issues of integrating digital twins, AI-agent systems, and multimodal human-computer interaction in the tasks of monitoring and dynamic verification of the state of damaged infrastructure objects. The relevance of the work is driven by the increasing complexity of modern infrastructure systems, the need for rapid response to damage, the fragmentation of...
Modern BIM models accumulate significant amounts of information, covering both the geometric parameters of an object and extended attribute data. However, the complexity of these data structures and the lack of unified approaches to their interpretation often limit the accessibility and clarity of information for various construction project participants. Consequently, the...
The increasing volume of traffic flows in modern cities, the growing complexity of urban transport network structures, and higher efficiency requirements for logistics processes necessitate the development of new approaches to modeling and optimizing delivery tasks. Traditional methods of transport system analysis prove insufficiently effective under conditions of high data...
The development of information systems for the formation of logistic routes used in the field of transport logistics is studied, and algorithmic approaches to solving the vehicle routing problem are analyzed. The main goal of this study is to define the concept of developing these systems toward improving their ability to function in dynamic and stochastic environments in real...
The study explores the possibilities of applying machine learning models to automate the generation and prioritization of software test scenarios within a dynamic continuous integration (CI/CD) environment. The relevance of the work is driven by the need for rapid quality assessment of software systems amidst the exponential growth of critical applications. The scientific novelty...
The paper examines the features, capabilities, and advantages of the W#CMS content management system — a platform for creating and administering internet systems of various levels of complexity. A distinctive feature of the W#CMS system is that it allows for the implementation of different methods for creating websites and internet systems by users with varying levels of...
The article presents the author's approach to solving the problem of supporting management decision-making in complex IT projects characterized by a multi-level task structure, resource constraints, and a high level of uncertainty. It is substantiated that the use of exclusively heuristic or only formalized methods is insufficient to ensure consistency, reproducibility, and...
Modern agriculture must operate as efficiently as possible while ensuring high product quality. This is crucial in both crop cultivation and animal husbandry. Consequently, modern data analysis technologies and artificial intelligence-based solutions are increasingly applied today. One of the most widespread technologies is IoT (Internet of Things). It is actively used for data...
Human physical exercise recognition and analysis from video streams is a relevant scientific and applied problem in modern sports, physical education, and rehabilitation. It enables the automated assessment of movement quality, increases the objectivity of training control, and supports the timely correction of technique. In contrast to purely expert observation, videobased...
The article demonstrates that universal approaches to modelling the IT project life cycle do not sufficiently reflect the domain-specific determinants that shape managerial decision-making in complex digital environments. In conditions of increasing structural and technological complexity, traditional phase-based models require conceptual adaptation to the dominant sources of...
This paper addresses the critical challenge of optimizing managerial decisions for controlling the spread of viral infections, a problem that gained global significance following the COVID-19 pandemic. The primary objective of the research is to develop and implement a reinforcement learning-based system for the dynamic management of restrictive measures – such as self-isolation...
The article provides a comparative analysis of the application of Large Language Models (LLM) and Diffusion Language Models (DLM) in the context of construction project management. The theoretical foundations of both approaches, their architectural differences, training principles, and potential areas of application in the construction industry are considered. It has been...
Modern parallel and distributed computing systems are characterized by high complexity, heterogeneous resources, and variable workload intensity, which complicates efficient scheduling and utilization of computational resources. Traditional approaches based solely on static scheduling or purely dynamic load balancing often fail to provide sufficient adaptability and performance...
The article substantiates the necessity of developing a proactive risk management method adapted to the specifics of logistics enterprise projects operating in the complex and volatile environment of VUCA and BANI worlds. High volatility, uncertainty, complexity, and ambiguity of external conditions require logistics infrastructure to possess not only flexibility but also the...
Effective management of sustainable construction projects is severely hindered by the reactive nature of traditional monitoring methods, which fail to address the dynamic and nonlinear variables present during physical execution. To overcome the limitations of relying on lagging indicators for Environmental, Social, and Governance (ESG) compliance, this study developed the Method...
Employee performance assessment is a key element of effective IT project management, especially in the context of the transition to a remote or hybrid work model, which has become dominant after the global changes caused by the COVID-19 pandemic, digital transformation and social shifts. In such conditions, traditional approaches to measuring performance, based on direct...
This article analyzes research on project management, project portfolio management, and risk management. It identifies a previously unsolved part of the scientific problem. Within the type of “management processes”, a set of processes for counter-turbulent management of construction project portfolios by a general contracting organization is proposed (11 such processes are...
The article analyzes the literature on portfolio management, project management methodologies, and digitalization. The purpose of the study is formulated. The main challenges facing the management systems of development companies are identified. The characteristics of the target state of the development company management system are formulated. Three models of the development...