EPS@ISEP | The European Project Semester (EPS) at ISEP


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example [2015/06/04 12:33] epsatisepexample [2021/03/23 11:28] (current) – external edit 127.0.0.1
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 ==== Refnotes Plugin Usage Examples ==== ==== Refnotes Plugin Usage Examples ====
  
-This is a reference to a book [(Mulder2013428)] [(bandyopadhyay2013unsupervised)], a Web resource [(android41)] and to an article [(llorente2009virtual)]. This is a test  [(cloudexpo2008)].+This is a reference to a book [(Mulder2013428)] [(bandyopadhyay2013unsupervised)], a Web resource [(android41)] and to an article [(llorente2009virtual)]. This is a test  [(cloudexpo2008)], [(Commission2015)] and [(ref2me)]
 + 
 +Please use superscript and subscript annotations to write powers and indexes, //e.g.//, m<sup>2</sup> and CO<sub>2</sub>.
  
 ==== Caption Plugin Usage Examples ==== ==== Caption Plugin Usage Examples ====
  
-Table {{ref>tlabel0}} illustrates a boxed table.+Table {{ref>tlabel0}} illustrates a boxed table with default column widths and Table {{ref>tlabelx}} with specific column widths.
  
 <WRAP centeralign> <WRAP centeralign>
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 </table> </table>
 </WRAP> </WRAP>
 +
 +<WRAP centeralign>
 +<table tlabelx>
 +<caption>Boxed table with specific column widths</caption>
 +<WRAP box 500px center>
 +^ <WRAP column 200px>Abbreviation</WRAP> ^ <WRAP column 200px>Description</WRAP> ^
 +|EPS |European Project Semester|
 +|ISEP|Instituto Superior de Engenharia do Porto|
 +|USB |Universal Serial Bus|
 +</WRAP>
 +</table>
 +</WRAP>
 +
 +
  
 Table {{ref>tlabel1}} shows the execution time results for each API. Table {{ref>tlabel2}} lists the fruit bought at the grocery. Table {{ref>tlabel1}} shows the execution time results for each API. Table {{ref>tlabel2}} lists the fruit bought at the grocery.
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 Equation \ref{eq:cosinesimilarity} represents the cosine similarity between two vectors of features. This similarity measurement takes values in the range of $[0,1]$ [(bandyopadhyay2013unsupervised)]. Equation \ref{eq:cosinesimilarity} represents the cosine similarity between two vectors of features. This similarity measurement takes values in the range of $[0,1]$ [(bandyopadhyay2013unsupervised)].
 +This is an in line expression $a+b=c$.
  
 <WRAP centeralign> <WRAP centeralign>
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