title: ÐÐ½ÐµÐ´ÑÐµÐ½Ð¸Ðµ ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ ÑÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÑÐºÐ¾Ð¿Ð¸ÑÐ½ÑÑ Ð²ÑÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ð² ÑÑÑÐ¾Ð¸ÑÐµÐ»ÑÐ½Ð¾Ðµ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´ÑÑÐ²Ð¾
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: The introduction of digital technology for processing handwritten expressions in the construction industry
Creators: name: ÐÑÐ¸Ð¼ÐµÐ½ÐºÐ¾, ÐÐ»ÐµÐºÑÐ°Ð½Ð´ÑÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
ÐÐ¾Ð¼Ð¿ÑÑÑÐµÑÐ½Ð¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
ÑÑÑÑÐºÑÑÑÐ° Ð´Ð°Ð½Ð½ÑÑ
Ð´ÐµÑÐµÐ²Ð¾ Ð²ÑÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
Ð¾Ð±ÑÑÐ°ÑÑÐ°Ñ Ð²ÑÐ±Ð¾ÑÐºÐ°
ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°
data structure
expression tree
training sample
algorithm implementation

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description: The subject of the graduate qualification work is "The introduction of digital technology for processing handwritten expressions in the construction industry". The purpose of the thesis is to develop a program for processing handwritten mathematical expressions entered by the user. The program must be presented as a service, that is, it must have a standardized interface so that it can be easily implemented in any third-party product. The service must accept as input an image containing a single hand-drawn mathematical expression. The output should be a tree structure that describes this expression and is suitable for further processing. To achieve this goal, the following tasks should be solved: 1. Conduct an analysis of the subject area. 2. Develop an algorithm that processes symbols and produces a data structure - an expression tree. 3. Collect a training sample from handwritten characters. 4. Model and implement a neural network that recognizes mathematical symbols. 5. Test the project. 6. Attach the project to third-party software. In the course of the work, an analysis of the subject area was carried out, a training sample of characters was collected, a neural network was modeled and developed that recognizes these characters, an algorithm was implemented that processes the recognized characters and builds an expression tree based on them. As a result of the work, a service was developed for processing handwritten mathematical expressions.