{overleaf template gallery}LaTeX templates and examples — Recent

This is Annual Reviews’ “Style 3” template (v1.0, April 2013) for the following journals: Analytical Chemistry Animal Biosciences Biochemistry Biomedical Engineering Chemical and Biomolecular Engineering Environment and Resources Immunology Materials Research Medicine Pathology: Mechanisms of Disease Pharmacology and Toxicology Physical Chemistry Physiology Virology

This is Annual Reviews’ “Style 7” template (v1.0, April 2013) for the following journal: Linguistics

This is Annual Reviews’ “Style 1” template (v1.0, April 2013) for the following journals: Anthropology Cell and Developmental Biology Clinical Psychology Earth and Planetary Sciences Ecology, Evolution, and Systematics Economics Financial Economics Fluid Mechanics Food Science and Technology Law and Social Science Marine Science Neuroscience Organizational Psychology and Organizational Behavior Political Science Psychology Resource Economics Sociology Statistics and Its Application Vision Science

Just a simple template for 6x9 novels I made out of boredom.

This is the corporate style of University of Udine letter, according to the manual of style.

Trabajo monográfico sobre cualquiera de los temas de la asignatura utilizando las herramientas de trabajo colaborativo de Google

A CV template using pastel(ish) colour, inspired by Awesome CV, but including some more 'visual' elements, such as progressbars and progress circles. It also has a two column layout to make more of the space available in case it is supposed to be used as a resumé. Some more information on it is in the blog post about it. This is the Github repo.

This is the LaTeX template for the Royal Society Open Science – a fast, open journal publishing high quality research across all of science, engineering and mathematics.

Computer vision systems can be applied to a wide variety of tasks, but some of the most interesting are those related with security and surveillance. Within this group, our application for Video Surveillance for Road Traffic Monitoring can be placed. We propose a solution based on machine learning and video analysis techniques that involves the whole process: database evaluation, background estimation, foreground segmentation, video stabilization and object tracking. As a result of this, our system will be able to monitorize some basic parameters of traffic flow as vehicles counting or speed estimation.