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Template for presentations. Designed for Seminar Presentations of the Complex Adaptive Systems Program at Chalmers University of Technology, but easy to modify.

This paper describes the use of the LaTeX qjrms4.cls class file for setting papers for the Quarterly Journal of the Royal Meteorological Society

Thesis template for Autonomous Systems Lab (ASL) at Swiss Federal Institute of Technology in Zurich (ETH Zürich). (Downloaded 10 May 2016) This template is based on the IMRT Latex template by Eric A. Mueller.

Šablona prezentace pro semestrální i státnicové obhajoby závěrečných prací na FIT VUT Presentation template for defenses of final thesis during semestral project and final state examination at FIT BUT

Modelamiento matemático de la dinámica de poblaciones naturales de Aedes (Stegomyia) aegypti (Linnaeus, 1762) de Colombia con presencia de la mutación kdr Val1016Ile, incluyendo transporte pasivo y condiciones climáticas (Solabima 2019)

This is a modified beamerposter template based on the Gemini theme (see https://github.com/anishathalye/gemini) and the Beamer seagull color theme. Several colored boxes made with tcolorbox are also added.

Unofficial LaTeX template for Thesis Advisory Committee Meeting Assessment Report of the CEITEC PhD School.

高校レベルの置換積分に用いることを主目的とした双曲線関数の基礎

(Final version) Can a Smartphone be specifically identified according to the behavior or actions of the user? Smartphones are nowadays widely used especially due to their numerous functionalities. These devices act like small computers as they have many functions such as internet connection, emailing, chats, social media among others. A lot of traffic is therefore generated from these devices and adversaries may use the traffic to attack the smartphones. Traffic generated by smartphones may be used to interfere with user privacy. Information collected from the traffic can be used to create specific fingerprints that will identify a particular device. This is seen from the two articles reviewed in this paper. Both papers investigate how traffic from a smartphone can be used by attackers to infringe user privacy. Though different methods are used in the studies, the results indicate that user privacy can be infringed.