Completed

Agile development is becoming more and more popular in software development teams. And user stories are an essential part of agile. It helps teams to focus on impact on user. A user story defines a feature from the perspective of the end user. It specifies who is the user, what is the feature, and optionally, what is the benefit of this feature.

5G widely defines network slicing concept which aims to provide different and separate dedicated logical networks that can be customized to respective services. All slices under a cloud infrastructure are put together with their different requirements, e.g. bandwidth, latency. The purpose of this project is to provide a simulation suite for a network consisting of base stations and clients that possible scenarios of 5G can fit into and make analysis of different concepts easier. 

For the spell correction task, vocabulary based methods have been replaced with methods that take morphological and grammar rules into account. However, such tools are fairly immature, and, worse,  non-existent for many low resource languages. Checking only if a word is well-formed with respect to the morphological rules of a language may produce false negatives due to the ambiguity resulting from the presence of numerous homophonic words. In this work, we propose an approach to detect and correct the "de/da'' clitic errors in Turkish text.

Shot-text classification is a challenging topic in particular for Turkish text due to sparsity of distinguishing features and high dimensionality.

Most of the jobs related to Turkish tweets are done for sentiment analysis. This project aims to analyze and classify Turkish tweets on Twitter based on their topics which are decided as follow: polity, economics&investment, health, technology&informatics, history, literature&film, sports, education&personal growth and magazine. 

Our goal is to be able to distill the style from an individual's handwriting and generate handwritten text that is indistinguishable by same person's handwriting. Besides having the scientific value of being able to capture style from the content, such a system can be used for bridging the beauty of handwriting and accessibility of digital text. In this regard, we have generated characters in training set then extended it to generating characters seen for the first time. To evaluate our generative network, we've created a game with a purpose (GWAP) application.