Sökning: "k-nearest neighbors"
Visar resultat 1 - 5 av 80 uppsatser innehållade orden k-nearest neighbors.
1. Comparison of Recommendation Systems for Auto-scaling in the Cloud Environment
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Cloud computing’s rapid growth has highlighted the need for efficientresource allocation. While cloud platforms offer scalability and cost-effectiveness for a variety of applications, managing resources to match dynamic workloads remains a challenge. LÄS MER
2. Exogenous Fault Detection in Aerial Swarms of UAVs
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : In this thesis, the main focus is to formulate and test a suitable model forexogenous fault detection in swarms containing unmanned aerial vehicles(UAVs), which are aerial autonomous systems. FOI Swedish DefenseResearch Agency provided the thesis project and research question. LÄS MER
3. Classifying Motion Patterns of Bikes using Machine Learning
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : Electric bikes have become ubiquitous in traffic, and with a growing user base and expensive prices, a demand for bike protection is increasing. Bike protection applications could include detecting and notifying the owner if their bike has been stolen or fallen over. LÄS MER
4. Toward an application of machine learning for predicting foreign trade in services – a pilot study for Statistics Sweden
Master-uppsats, Stockholms universitet/Statistiska institutionenSammanfattning : The objective of this thesis is to investigate the possibility of using machine learn- ing at Statistics Sweden within the Foreign Trade in Services (FTS) statistic, to predict the likelihood of a unit to conduct foreign trade in services. The FTS survey is a sample survey, for which there is no natural frame to sample from. LÄS MER
5. ML enhanced interpretation of failed test result
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This master thesis addresses the problem of classifying test failures in Ericsson AB’s BAIT test framework, specifically distinguishing between environment faults and product faults. The project aims to automate the initial defect classification process, reducing manual work and facilitating faster debugging. LÄS MER