This is a reference to a book [Rita Thapa, Hom Bahadur Rijal, Masanori Shukuya, Hikaru Imagawa, 2019] [Kazuko Obayashi, Shigeru Masuyama, 2020], a Web resource [Android Open Source Project, 2014], a chapter [Alexandre Soares dos Reis, Elien Gielen, Ko Wopereis, Marcel Pasternak, Vaido Soo\"a\"ar, Tobias Schneider, Abel J. Duarte, Benedita Malheiro, Jorge Justo, Cristina Ribeiro, Manuel F. Silva, Paulo Ferreira, Pedro Guedes, 2020] and to articles [B. Sotomayor, Ruben S. Montero, I.M. Llorente, I. Foster, 2009], [Ranjith, V. Velmurugan, S. Thanikaikarasan, 2020], [YeongKyun Lee, Jongpil Jeong, 2018]. This is a test with website references [MySelf, 2017], [Cloud Expo, 2008] and [Gartner, 2021].
Please use superscript and subscript annotations to write powers and indexes, e.g., m2 and CO2.
Table 1 illustrates a boxed table with default column widths and Table 2 with specific column widths.
| Abbreviation | Description |
|---|---|
| EPS | European Project Semester |
| ISEP | Instituto Superior de Engenharia do Porto |
| USB | Universal Serial Bus |
| Abbreviation | Description |
|---|---|
| EPS | European Project Semester |
| ISEP | Instituto Superior de Engenharia do Porto |
| USB | Universal Serial Bus |
Table 3 shows the execution time results for each API. Table 4 lists the fruit bought at the grocery.
| API | Time (s) |
|---|---|
| EJML | 26 |
| JAMA | 295 |
| JBLAS | 29 |
| MTJ | 18 |
| WEKA | 123 |
| Fruit | Weight (kg) |
|---|---|
| Pears | 2.60 |
| Apples | 2.95 |
| Oranges | 1.90 |
Figure 1 displays a magnificent owl from Lapland.
Figure 2 presents the European Project Semester (EPS) logo.
Equation \ref{eq:cosinesimilarity} represents the cosine similarity between two vectors of features. This similarity measurement takes values in the range of $[0,1]$ [Sanghamitra Bandyopadhyay, Sriparna Saha, 2013]. This is an in line expression $a+b=c$.
\begin{equation} \cos\alpha=\frac{\hat{A}\cdot\hat{B}}{|\hat{A}\|\hat{B}|}\equiv\frac{\sum_{j=1}^{n} \hat{A}_j \hat{B}_j}{\sqrt{\sum_{j=1}^{n} \hat{A}^{2}_j}\sqrt{\sum_{j=1}^{n} \hat{B}^{2}_j}} \label{eq:cosinesimilarity} \end{equation}
As [Sanghamitra Bandyopadhyay, Sriparna Saha, 2013] states, the most popular similarity metrics are the distance and the cosine similarity. The distance-based metrics include the Euclidean distance, the Hamming distance or the Chebyshev distance, among others.
Equation \ref{eq:euclideandistance} displays the Euclidean distance formula.
\begin{equation} d(x,y)=\sqrt{\sum_{k=1}^{n}(x_{k}-y_{k})^{2}} \label{eq:euclideandistance} \end{equation}
For project management
[Team]Task allocation
[Team]Gantt chart
| Plugins Usage Examples |
|---|
| [Team]Task allocation |
| [Team]Gantt chart |
Define, allocate and track the status of the project tasks:
| Supervision Meeting Agenda (2nd week) | 2015/03/03 00:00 | Mary | rejected |
| Weekly Minute (1st week) | 2015/03/03 00:00 | John | done |
| Requirements | 2015/03/10 00:00 | Rasmus, Arick | started |
Market research(Adam, Sophie and Xavier) Perform a market research concerning your product. (10% of 4 h) ![]()
Priority: High