{overleaf template gallery}LaTeX templates and examples — Recent

Template para relatórios da disciplina FEELT31109 (Enriquecimento Instrumental) da FEELT/UFU, Brasil.

A newsletter template. You can find author's blog at physicslog.com

Homework assignment LaTeX template created by Ted Pavlic. Source: Ted Pavlic’s homepage. This template was originally published on ShareLaTeX and subsequently moved to Overleaf in October 2019.

The subfiles package and class can help with typesetting multi-file projects, where subsidiary files will inherit the main file's preamble when they themselves are compiled (i.e. "set as main" in Overleaf projects. Note, though, that at present .tex files inside a folder cannot be set as a project's main file.

This is a quickly built template to generate an abstract for AEGC 2021 conference in Brisbane. Although I haven't heard from the organizing committee if the pdfs are accepted, I still decided to prepare this template for your convenience.

Abstracts

Although the analysis of data is a task that has gained the interest of the statistical community in recent years and whose familiarity with the statistical computing environment, they encourage the current statistical community (to students and teachers of the area) to complete statistical analysis reproducible by means of the tool R. However for years there has been a gap between the calculation of matrices on a large scale and the term "big data", in this work the Normalized Cut algorithm for images is applied. Despite the expected, the R environment to do image analysis is poorly, in comparison with other computing platforms such as the Python language or with specialized software such as OpenCV. Being well known the absence of such function, in this work we share an implementation of the Normalized Cut algorithm in the R environment with extensions to programs and processes performed in C ++, to provide the user with a friendly interface in R to segment images. The article concludes by evaluating the current implementation and looking for ways to generalize the implementation for a large scale context and reuse the developed code. Key words: Normaliced Cut, image segmentation, Lanczos algorithm, eigenvalues and eigenvectors, graphs, similarity matrix, R (the statistical computing environment), open source, large scale and big data.

Proposta de presentació per als diaris de treball de la assignatura Projecte 3 del Grau de Geografia de la URV.

The Beilstein Journal of Nanotechnology is an international, peer-reviewed, Open Access journal published and financed by the Beilstein-Institut. The journal publishes original articles on all aspects of Nanoscience and Nanotechnology. It provides a broad coverage of both fundamental and applied research, including aspects of chemistry, physics and biology as well as materials science and engineering.