Spelling

diff --git a/HEALD.log b/HEALD.log
index e8e9b29c9048c059ee172066f6469aace837f940..f3223ec72189ae7bd49153f0cb314224b448d58f 100644 (file)
--- a/HEALD.log
+++ b/HEALD.log
@@ -1,4 +1,4 @@
-This is pdfTeX, Version 3.14159265-2.6-1.40.20 (TeX Live 2019/Debian) (preloaded format=pdflatex 2021.10.22)  27 JAN 2022 15:03
+This is pdfTeX, Version 3.14159265-2.6-1.40.20 (TeX Live 2019/Debian) (preloaded format=pdflatex 2022.1.26)  27 JAN 2022 14:05

 entering extended mode
  restricted \write18 enabled.
  %&-line parsing enabled.
 entering extended mode
  restricted \write18 enabled.
  %&-line parsing enabled.


@@ -342,7 +342,7 @@ LaTeX Warning: There were undefined references.
  ) 
 Here is how much of TeX's memory you used:
  3806 strings out of 483183
  ) 
 Here is how much of TeX's memory you used:
  3806 strings out of 483183

- 54423 string characters out of 5966291
+ 54423 string characters out of 5966292

  293756 words of memory out of 5000000
  18792 multiletter control sequences out of 15000+600000
  575772 words of font info for 111 fonts, out of 8000000 for 9000
  293756 words of memory out of 5000000
  18792 multiletter control sequences out of 15000+600000
  575772 words of font info for 111 fonts, out of 8000000 for 9000


@@ -353,7 +353,7 @@ e/texmf-dist/fonts/type1/public/amsfonts/cm/cmsy7.pfb></usr/share/texlive/texmf
 -dist/fonts/type1/urw/times/utmb8a.pfb></usr/share/texlive/texmf-dist/fonts/typ
 e1/urw/times/utmbi8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/times/u
 tmr8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/times/utmri8a.pfb>
 -dist/fonts/type1/urw/times/utmb8a.pfb></usr/share/texlive/texmf-dist/fonts/typ
 e1/urw/times/utmbi8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/times/u
 tmr8a.pfb></usr/share/texlive/texmf-dist/fonts/type1/urw/times/utmri8a.pfb>

-Output written on HEALD.pdf (2 pages, 96725 bytes).
+Output written on HEALD.pdf (2 pages, 96710 bytes).

 PDF statistics:
  41 PDF objects out of 1000 (max. 8388607)
  28 compressed objects within 1 object stream
 PDF statistics:
  41 PDF objects out of 1000 (max. 8388607)
  28 compressed objects within 1 object stream

diff --git a/HEALD.pdf b/HEALD.pdf
index fe2f176f464349b59f9be15d9d560faaac8ebbba..063124c813a54d18bd3583af0cbc9ec9a4b058b1 100644 (file)
Binary files a/HEALD.pdf and b/HEALD.pdf differ

diff --git a/HEALD.tex b/HEALD.tex
index b62f1c2fb5ddfee145a744cc12a03406670cc703..8e0068928e2fa83c8309265d649369ae538d1c0d 100644 (file)
--- a/HEALD.tex
+++ b/HEALD.tex
@@ -21,7 +21,7 @@
 \maketitle
 
 \begin{abstract}
 \maketitle
 
 \begin{abstract}

-In this paper, we apply machine learning models to differentiate beteen hentai, ecchi and lewds.
+In this paper, we apply machine learning models to differentiate between hentai, ecchi and lewds.

 \end{abstract}
 
 \begin{IEEEkeywords}
 \end{abstract}
 
 \begin{IEEEkeywords}