The master's thesis consists of an introduction, 5 chapters, conclusions to all the work done, and a list of references. The thesis contains 106 pages of main text, 37 illustrations, 40 tables and 30 references. The total volume of the master's thesis is 113 pages.
Purpose and objectives of the work. The purpose of the master's thesis is to study the capacitive MEMS sensitive element of the stabilization system.
The subject of research: the capacitive sensing element of the stabilization system.
Research methods: the method underlying the operation of the capacitive sensing element is based on the change in capacitance between the covers, which occurs due to the movement of a moving inertial mass due to the acceleration of gravity.
Novelty of the results: A new two-channel capacitive MEMS gravimeter AGS has been proposed and investigated. It is substantiated that the use of two channels of the capacitive MEMS gravimeter provides an increase in the accuracy and speed of the PST measurements.

Relevance of the topic: the topic of the master's thesis, "Enhanced Automated Energy-Saving Subsystem in Heating Systems," is highly relevant in the context of the growing demand for energy-efficient technologies. The continuous increase in energy resource costs and the need to reduce greenhouse gas emissions compel society to optimize energy usage.
Existing heating systems often lack the capability to adapt effectively to changing operating conditions, leading to increased energy consumption and reduced efficiency. The enhanced automated energy-saving subsystem addresses this issue by implementing modern technologies that ensure precise pump control and optimization of the thermal regime. Its relevance is further emphasized by the ability to manage the system remotely, meeting contemporary user demands for convenience and mobility.

In the master's thesis, a magnetic inspection system for detecting defects in the side frames of freight car bogies was developed and investigated.
Relevance of the topic:
The relevance of the topic of the master's thesis is to solve the important problem of improving the safety of railway transport by developing a modern automated method of non-destructive testing. The side frames of freight car bogies are critical structural elements that are subjected to intense cyclic loads. This significantly increases the risk of defects such as cracks and pores, which can cause serious accidents and jeopardize transportation safety.

The master's thesis is devoted to the development of an automated weight control system for railway cargo handling. The primary focus is on developing software to enhance the productivity of cargo transshipment points.
The aim of this master's thesis is to improve the efficiency of transshipment points through the development of software and the use of modern engineering solutions and accessible technologies.  
The object of the study is the processes of automating weight control on railway scales.  
The subject of the study includes the methods, algorithms, and technologies that implement automated weight control systems.  

The Master's thesis consists of an introduction, seven chapters, conclusions, and a list of references. It also contains 182 pages, including 65 figures, 32 tables, and 125 sources.
The aim of the Master's thesis is to improve the productivity, reliability, and rhythm of the technological process for sorting fruits of vegetable crops by developing an intelligent automated sorting system. To achieve this goal, methods of machine learning, computer vision, and deep learning algorithms were employed. The results of the work demonstrated a high classification accuracy of the fruits, which allows for the effective use of the system in real production environments.

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АСНК КПІ ім. Ігоря Сікорського, 2021