The Master's thesis consists of 4 chapters, 97 pages, contains 39 illustrations, 33 tables, 46 sources were processed.
Purpose of the work: automation of the process of recognition of cancer, which will increase the accuracy and reliability of diagnostic systems.
The object of research is tumor diseases.
The subject of research is neural network algorithms for detection and classification of diseases based on ultrasound images.

Tasks of the master's work:
1. To analyze existing diseases and methods of their detection. Analyze treatment algorithms in order to identify the right moment for diagnosis. To scrutinize all existing systems and find ways to improve them.

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The master's dissertation consists of 5 sections, 95 pages, contains 23 illustrations, 38 tables, was processed 38 sources.
Purpose of the work: automation process of analysis thermographic images using neural network technologies, which will increase the information content and reliability of thermal imaging video surveillance systems.

Tasks of the master's dissertation:
1. Analyze the current state of thermal imaging video surveillance systems and identify areas for their improvement.
2. To get acquainted with the existing methods automated detection and recognition of objects on thermographic images.
3. Justify use of neural networks to improve quality of object detection and select the required type of network.

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The master's thesis consists of 97 pages, 40 figures, 27 literary sources.
The master's thesis represents the formulation and solution of the problem of designing an acoustic-emission system for detecting cracks in a long, metal object of control. The task of this project is to calculate the piezo transducer and the electroacoustic paths of the sensor to control the leakage of liquids in the pipeline. The master's thesis contains calculations of: geometric dimensions of the control unit (piezoelectric transducer, location of sensors on the control object) taking into account control features, control probability and electrical elements. The graphic part of the master's thesis, the structural diagram of the sensor, made on a sheet of A3, a functional diagram – on a sheet of A2, a component drawing of the sensor - on a sheet of A1, an electrical schematic diagram - on a sheet of A0, and specifications for an electrical schematic diagram and a component drawing of the sensor.

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The main text of master's thesis consists of four sections and is laid out on 96 pages. In the course of materials work writing 48 sources of scientific literature were processed.
Actuality of the work: lung diseases are one of the significant causes of mortality worldwide. Every day, radiologists face the task of diagnosing lung diseases by analyzing X-ray images of the patient's chest. The development of machine learning algorithms provides wide opportunities in the field of automation of solving biomedical tasks. The possible application of computer processing of X-ray images will increase the accuracy of image analysis, reduce the role of the human factor in decision-making, allow to evaluate the effectiveness of the use of therapy, qualitatively and quickly classify data from the images and generally improve the quality of people's lives.

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Currently, the development of an inexpensive, convenient, portable, and digitized device for recording ionizing radiation is very relevant.
The topic of the master's thesis is related to the effective determination of the level of environmental pollution, which directly affects the quality of life. The level of radioactive background is one of the indicators that require constant monitoring. The impact of ionized particles on the human body may appear after a long time, then control may no longer be relevant.
In connection with the discovery of new technologies - appears to improve existing systems, reduce the cost of the device, increase the level of accuracy, and increase the level of speed.

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  1. Kolomiiets K. Development of software for automated design of flow meters
  2. Klochko O. Intelligent system of automatic microsatellite control
  3. Morozov Y. The system of automated measurement of the angle of inclination
  4. Kraplyna D. Manipulator of the measuring system

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АСНК КПІ ім. Ігоря Сікорського, 2021