Gallery — University

In this work we apply machine learning as a conducive method towards identifying previously unstudied patterns in chromosome interaction data sets. We rst use supervised learning to show that patterns identi ed by a user can be learned by tensor ow models, and then transition into unsupervised methods to delve even more deeply into the possibilities of discovery without human intervention.

Report template for ITV projects Report template with support for Portuguese and English languages. Change language {brazil or english} in \documentclass as per the examples. This template has support for the ABNT citing format. This report template was created by Hector Azpurua (hector.azpurua@itv.org) Original version: dec/2017 https://github.com/h3ct0r/itv_report_latex_template/s Based on ABNTEX2 and the thesis template by Gabriel Garcia (gabrcg@gmail.com)

This is the thesis template for the American University of Beirut.

A simple template for university related submissions.

English Template for ercesiMIPS Lab Report

New and updated template for writing bachelor thesis reports for the ICT school at KTH. It contains helpful tips for both content and LaTeX syntax. Must be compiled using XeLaTeX which is available in the settings. This is not an official template, it does however look like the template provided by the school in word format.

In Email Analytics, our main focus on criminal and civil investigation from large email dataset. It is very difficult to deal with challenging task for investigator due to large size of email dataset. This paper offer an interactive email analytics various to current and manually intensive technique is used for search evidence from large email dataset. In investigation process, many emails are irrelevant to the investigation so it will force investigator to search carefully through email in order to find relevant emails manually. This process is very costly in terms of money and times. To help to investigation process. We combine Elasticsearch, Logstash and Kibana for data storing, data preprocessing, data visualization and data analytics and displaying results. In this process reduce the number of email which are irrelevant for investigation. It shows the relationship between them and also analyzing the email corpus based on topic relation using text mining.

IPFW Paper Template Written by Joseph Timothy Foley <foley AT ru DOT IS> Maintained by David S. Cochran <cochrand AT ipfw DOT edu>

Lab Report