Advanced Deep Learning Methods for Enhancing Information Compliance Checking

Abstract

The study in this thesis enhances information checking algorithm challenges, such as CAD drawings comliance checking which is time-consuming and error-prone, by focusing on the development and refinement of advanced deep learning algorithms, primarily in the Natural Language Processing (NLP) sphere, as innovative methods for higher accuracy and time-saving solution.