Essays about: "crowd-sourced data"
Showing result 1 - 5 of 12 essays containing the words crowd-sourced data.
-
1. Machine Learning-Based Data-Driven Traffic Flow Estimation from Mobile Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Comprehensive information on traffic flow is essential for vehicular emission monitoring and traffic control. However, such information is not observable everywhere and anytime on the road because of high installation costs and malfunctions of stationary sensors. READ MORE
-
2. Customer Experience and its Implication for Value Creation within the Night-Time Economy
University essay from KTH/Industriell ekonomi och organisation (Inst.)Abstract : The consumer behaviour is adapting within industries due to new technologies such as smart phones. As consumer behaviour changes so do companies by adapting their way of engaging and interacting with their customers. This provides potential to innovate new service offerings. READ MORE
-
3. How natural language processing can be used to improve digital language learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The world is facing globalization and with that, companies are growing and need to hire according their needs. A great obstacle for this is the language barrier between job applicants and employers who want to hire competent candidates. READ MORE
-
4. Response Generation Using Large-scale Pre-trained Language Models
University essay fromAbstract : In this project I studied how generative neural language models can be used for response generation. The purpose of the model is to generate responses for a social robot, instead of having responses be authored and evaluated by crowd-sourced workers. READ MORE
-
5. Topographic building pattern recognition with geospatial OpenStreetMap data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This paper aims to explore the perceptual recognition of topographical building patterns from real-world OpenStreetMap data on virtual globes. An implementation was developed in which all geographical and contextual information was layered and, for the purpose of this study, what solely remained were building patterns as viewed from above. READ MORE