Sökning: "Dynamic link prediction"
Hittade 5 uppsatser innehållade orden Dynamic link prediction.
1. An experimental analysis of Link Prediction methods over Microservices Knowledge Graphs
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Graphs are a powerful way to represent data. They can be seen as a collection of objects (nodes) and the relationships between them (edges or links). The power of this structure has its intrinsic value in the relationship between data points that can even provide more information than the data properties. LÄS MER
2. Predicting comfort in autonomous driving from vibration measurements using machine learning models
Master-uppsats, KTH/FordonsdynamikSammanfattning : Highly automated driving is approaching reality at a high speed. BMW is planningto put its first autonomous driving vehicle on the road already by 2021. The path torealising this new technology is however, full of challenges. LÄS MER
3. Dynamic Graph Representation Learning on Enterprise Live Video Streaming Events
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Enterprises use live video streaming as a mean of communication. Streaming high-quality video to thousands of devices in a corporate network is not an easy task; the bandwidth requirements often exceed the network capacity. LÄS MER
4. Prediction Assisted Fully Dynamic All-Pairs Effective Resistance
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : We study the approximate fully dynamic online all-pairs effective resistance problem in a prediction assisted setting. We introduce a prediction model for predicting which vertex pairs will be involved in future edge insertions, deletions, or effective resistance queries. LÄS MER
5. Dynamic Modelling and Optimal Control of Autonomous Heavy-duty Vehicles
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Autonomous vehicles have gained much importance over the last decade owing to their promising capabilities like improvement in overall traffic flow, reduction in pollution and elimination of human errors. However, when it comes to long-distance transportation or working in complex isolated environments like mines, various factors such as safety, fuel efficiency, transportation cost, robustness, and accuracy become very critical. LÄS MER