The master's thesis consists of such sections as a list of abbreviations, an introduction, four chapters, conclusions, a list of used sources and appendices. The work contains 122 pages, 63 figures, 26 tables, 17 formulas and 20 sources.
The aim of the dissertation is the development of an automated rehabilitation tool for the lower limb to rehabilitate leg posture.
The relevance of this work lies in the development of a unique technical tool for independent rehabilitation in the modern context, in particular for today's Ukraine.

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Relevance of the topic. Air pollution contributes to the development of various diseases, including cardiovascular and oncological diseases. Studies show that the population of low- and middle-income countries is particularly affected by air pollution. According to the WHO European Bureau, air pollution is the main cause some of the cases of respiratory diseases among children can also be factors of chronic obstructive diseases of the respiratory organs and cases of bronchial asthma.

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ABSTRACT
Relevance of the Topic - Currently, the majority of companies employ high-tech information equipment to support their operations. To ensure the reliable functioning and uninterrupted operation of such information systems, it is necessary to utilize specialized server rooms housing telecommunication equipment.
The reliability and efficiency of these server rooms are directly linked to the conditions of their operation, particularly the microclimate. In this context, it becomes crucial to consider integrated climate control systems that provide optimal conditions for the reliability and efficiency of equipment utilization.

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Actuality of theme. Nowadays we can observe a tendency to replace human labor with machine work, which has caused the rapid development of robotics. Robotic systems are the basis of automation of motor vehicles, air transport, modern industry and other areas of human activity. Currently, vacuum cleaners have become quite popular.
One of the main tasks of modern mobile robots is the problem of orientation of devices in a closed space that goes through some changes over time. That is why the development of algorithms for building a room map and adaptation to its constant changes remains an urgent task.

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The development of this system is crucial due to the constant increase in the risk for individuals in conflict zones and war-torn areas, where the threat of landmines poses a significant danger. This project aims to create an efficient and safe method of detecting explosive devices using advanced thermal imaging technology and artificial intelligence.
The system will rely on the analysis of thermal images obtained from high-precision thermal imaging cameras. By leveraging artificial intelligence technology, the system will autonomously recognize patterns indicative of the presence of mines and generate rapid and accurate alerts for operators.
It is anticipated that the outcome of the project will be the creation of a highly effective system that reduces risks and enhances safety for those working or residing in high-risk areas containing explosive devices. Furthermore, the system holds potential for various applications, including rescue operations, post-war mine clearance efforts, and military purposes.

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  1. Isadchenko B. Automated dual-channel system for gas leak detection on pipelines using UAV
  2. Malko V. Coordinate registration of information in automated eddy current defectoscopy systems
  3. Steshenko Y. Improvement of image segmentation algorithms for surface defects of metal products
  4. Trotsiuk K. Automation of the oncological diseases recognition process on ultrasound images

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АСНК КПІ ім. Ігоря Сікорського, 2021