Sökning: "Random Edge"
Visar resultat 1 - 5 av 38 uppsatser innehållade orden Random Edge.
1. Methods for determining focal point and delay for ultrasound arrays and multichannel electronics
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : High intensity focused ultrasound is a growing technique for tissue ablation, among other uses, and given its destructive capabilities, there is a need for control of where the energy is delivered. There exist a number of methods for focusing such ultrasound arrays, but these often assume prior knowledge of the impulse response, or require extensive full-system simulations. LÄS MER
2. An Analysis of Data Cleaning Tools : A comparative analysis of the performance and effectiveness of data cleaning tools
Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Sammanfattning : I en värld full av data är felaktiga eller inkonsekventa data oundvikliga, och datarensning, en process som rensar sådana skillnader, blir avgörande. Syftet med studien är att besvara frågan om vilka kriterier datarengöringsverktyg kan jämföras och utvärderas med. LÄS MER
3. An Evaluative Study on the Impact of Immersion and Presence for Flight Simulators in XR
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Flight simulators are a central training method for pilots and with the advances of human-computer interaction, new cutting-edge technology introduces a new type of simulator using extended reality (XR). XR is an umbrella term for many representative forms of realities, where physical reality (PR) and virtual reality (VR) are the endpoints of this spectrum, and any reality in between can be seen as mixed reality (MR). LÄS MER
4. Predicting Customer Churn and Customer Lifetime Value (CLV) using Machine Learning
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : In an evermore competitive environment for companies and business, predictive customer behaviour models can give companies a competitive edge over its competitors. Two such important predictive behaviour models are customer churn models and customer lifetime value (CLV) models. LÄS MER
5. Load Balancing In The Edge Cloud With Service Degradation : Combining Application-level Service Degradation With Load Balancing in a Kubernetes-based Edge Cloud
Master-uppsats, Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Tekniska fakultetenSammanfattning : Edge cloud is a distributed computing architecture that is growing in popularity. It aims to bring the cloud closer to the edge of a network, reducing latency and improving performance through the use of distributed servers (edge nodes) spread out geographically. LÄS MER