The first step in nearly all natural language processing (NLP) applications is applying preprocessing operations to the text. Preprocessing operations include tokenization (segmenting the text into tokens), sentence splitting (dividing the text into sentences), normalization (converting the text into a canonical form), and the like. In this project, you will develop and implement algorithms for preprocessing of Turkish text using deep learning approaches. First, a literature review will be conducted and similar systems for English will be analyzed (e.g. UDPipe, Stanza).
Mobile application stores allow users to provide their feedback on the applications as star ratings and natural language text. The user feedback include useful information on the application as bug reports, feature requests, rationale for praise, or comments on the business logic of the application. The vast number of reviews makes it difficult to process the reviews manually. Machine learning approaches can support product owners to categorize the reviews and extract useful information.
OpenDRIVE is an open format specification to describe a road network's logic. Its objective is to standardize the logical road description to facilitate the data exchange between different driving simulators. In this project, you will generate a map of Bogazici University and surrounding areas in the OpenDrive format.
OpenDRIVE is an open format specification to describe a road network's logic. Its objective is to standardize the logical road description to facilitate the data exchange between different driving simulators. In this project, you will generate a map of Bogazici University and surrounding areas in the OpenDrive format.
In this project, the aim is to generate an open-source simulator for our water channel testbed using generative adversarial networks (GAN). The water channel testbed basically consists of a transparent water channel, water tanks, adjustable circulation pump, information molecules, molecule emitter, molecule filters, laser, high-resolution programmable cameras, chemical sensors, synchronization unit between camera and laser, and a computer.
Gamers are very demanding in their QoE (Quality of Experience) expectations. Ping delays, FPS levels and FPS stability are crucial in determining the user experience. Powerful hardware (CPU and graphics card) is needed to achieve this; however, not all users have this resource, especially when they are mobile. In this picture, Edge Computing can offer effective solutions in which part of the game software gets executed in nearby edge servers.