Sökning: "crowd-sourced data"
Visar resultat 1 - 5 av 14 uppsatser innehållade orden crowd-sourced data.
1. Machine Learning-Based Data-Driven Traffic Flow Estimation from Mobile Data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
2. Interiörs påverkan på lägenheters pris och värdering
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Fastighetsvärderingar har historiskt sett utförts av mäklare eller experter på området. Med den växande mängden verktyg på internet för värderingar uppstår frågan hur väl verktygen presterar och vad som kan göras för att förbättra dem. LÄS MER
3. Customer Experience and its Implication for Value Creation within the Night-Time Economy
Master-uppsats, KTH/Industriell ekonomi och organisation (Inst.)Sammanfattning : 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. LÄS MER
4. How natural language processing can be used to improve digital language learning
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
5. Response Generation Using Large-scale Pre-trained Language Models
Uppsats för yrkesexamina på avancerad nivå,Sammanfattning : 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. LÄS MER