AbstractsComputer Science

Computer aided renal calculi detection using Convolutional Neural Networks

by Aymen Beshir

Institution: Uppsala University
Year: 2016
Keywords: Engineering and Technology; Teknik och teknologier; Bachelor Programme in Computer Science; Kandidatprogram i datavetenskap
Posted: 02/05/2017
Record ID: 2097610
Full text PDF: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-303246


In this project a mobile application for dog owners is built, whichallows dog owners to create their own profile. The customer is a dogwhisperer with the aspiration to create a platform for dog ownerswhere they can share and access articles and experiences and structuretheir dog's life.This mobile application is built for both Android and iOS. Buildingnative mobile applications has never been easier given the manyresources and frameworks available for developers. But since theframeworks are often built for one specific mobile operating systemthe process can be aggravating. In this project the native mobileapplication is built with the framework react native, which allows usto build an application with the same code for two mobile operatingsystems.In this essay the UI and the programming language of react native JSXwill be discussed. The focus is essentially on building a goodapplication with a user friendly design, rather than building anapplication that is completely ready for the market. The resultingproduct is a functional application with a simple design that is easyto understand, even for the first time users.