Gallery — University

This is the title page for University of Amsterdam's MoL thesis. For more information, please see https://www.illc.uva.nl/MScLogic/current-students/graduation/titlepage.html.

Version 2.0.1 por Msc. Ing. Sergio Ramón Toledo Gallardo del 10 de junio de 2015 La compilación debe realizarse utilizando el comando pdflatex o pdflatexmk (para Mac) Los programas necesarios son Miktex 2.9 (distribución latex) y algún procesador como el texmaks o texniccenter Para texnicCenter Usar makeindex y habilitar usar bibtex Al imprimir el PDF se debe seleccionar tamaño real y Elegir origen por tamaño de pagina PDF para respetar los margenes requeridos Las figuras deben cargarse en la carpeta "imagenes" en formato pdf para optimizar la velocidad de compilación, sin embargo también se permiten formatos jpg y eps. Las referencia bibliográficas se cargan en el archivo fiuna.bib

A LaTeX template for the School of Computing Honours Dissertation report at Edinburgh Napier University

A beamer template for use at the Technical University of Denmark (DTU) following the DTU design guide at DTU design guide. For any suggestions, problems or bug fixes, please contact latex-support@student.dtu.dk or https://www.facebook.com/dtulatex

This is adapted from the Cambridge template created by Krishna Kumar, so all credit to him. See license https://github.com/kks32/phd-thesis-template/blob/master/LICENSE

A thesis/dissertation template for Oregon State University. Derived from original version posted on the OSU Math Department website. Edits are noted in the beavtex.cls file as well as in the replaceable abstract.

Plantilla para informes de laboratorio del curso de visión artificial en la Universidad Tecnológica de Bolívar. Basado en ECE 100 Template por Patrick Bartman.

Research about recommendation systems has increased due to the amount of information that it is available to individuals. In the music context these systems help the individual to filter and discover new songs according the individual's taste. Most of the business music companies use a recommendation system, based on the characteristics of a song listened by an individual, but a group recommendation system is still underexplored. For a shared environment when there is music, the songs selection will be more efficient if a group recommendation system is used. The goal of this project is to develop a music recommendation for a group that, is sharing the same environment, taking into consideration the context. For this reason, in this work we will employ the Spotify API to recover the data of playlists that were listened by an individual, collecting its preferences and adding them to the others individuals playlists.

This is the PhD Thesis Template of Indraprastha Institute of Information Technology Delhi (IIITD) for the Department of Electronics and Communication Engineering.