2014853.txt -

: Expert Systems with Applications , Volume 41, Issue 3, pages 853–860 , 2014.

: Some automated systems or repositories (like arXiv or ResearchGate ) export bibliographical data or full-text extractions as .txt files named after the publication year and ID. Other Potential "Deep" Papers

: It may refer to a specific entry in a text-based dataset (like the PAN authorship attribution datasets) used to test the "deep" learning or machine learning models described in the paper. 2014853.txt

: Research often cited in the context of industrial monitoring (like CNC machine tools) using spindle current data and deep learning.

CAPTCHA recognition based on deep convolutional neural network : Expert Systems with Applications , Volume 41,

: Syntactic N-grams as Machine Learning Features for Natural Language Processing

The identifier contains "2014" (the year) and "853" (a likely page number or reference ID). It strongly points to the following influential paper: : Research often cited in the context of

: This paper introduced the use of syntactic n-grams (n-grams following paths in dependency trees rather than just linear word order) to improve tasks like authorship attribution and sentiment analysis. Context of ".txt"