1. ISTCMTM
  2. All Volumes and Issues
  3. Volume 85, no.2, 2024
  4. MACHINE LEARNING METHODS IN THERMOMETERS’ DATA EXTRACTION AND PROCESSING

MACHINE LEARNING METHODS IN THERMOMETERS’ DATA EXTRACTION AND PROCESSING

ISTCMTM.
2024;
Volume 85(2), Number 2
: 40-45
https://doi.org/10.23939/istcmtm2024.02.040
Authors:
  1. Pylyp Skoropad
  2. Andrii Yuras
1
Lviv Polytechnic National University, Ukraine
2
Lviv Polytechnic National University

Research focuses on developing an all-encompassing algorithm for efficiently extracting, processing, and analyz- ing data about thermometers. The examination involves the application of a branch of artificial intelligence, in particular machine learning (ML) methods, as a means of automating processes. Such methods facilitate the identification and aggregation of pertinent data, the detection of gaps, and the conversion of unstructured text into an easily analyzable structured format. The paper details the employment of reinforcement learning for the automatic extraction of information from diverse resources, natural language pro- cessing for analysis of textual values, and the decision tree method for discerning patterns within the data.

artificial intelligence
machine learning
prediction
Temperature measurement
thermometer.
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