Sökning: "K-nearest neighbor"
Visar resultat 1 - 5 av 81 uppsatser innehållade orden K-nearest neighbor.
1. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. 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. Uncertainty Analysis : Severe Accident Scenario at a Nordic Nuclear Power Plant
Master-uppsats, Högskolan Dalarna/Institutionen för information och teknikSammanfattning : Nuclear Power Plants (NPP) undergo fault and sensitivity analysis with scenario modelling to predict catastrophic events, specifically releases of Cesium 137 (Cs-137). The purpose of this thesis is to find which of 108 input-features from Modular Accident Analysis Program (MAAP)simulation code are important, when there is large release of Cs-137 emissions. LÄS MER
4. Overcoming The New Item Problem In Recommender Systems : A Method For Predicting User Preferences Of New Items
Master-uppsats, Stockholms universitet/Statistiska institutionenSammanfattning : This thesis addresses the new item problem in recommender systems, which pertains to the challenges of providing personalized recommendations for items which have limited user interaction history. The study proposes and evaluates a method for generating personalized recommendations for movies, shows, and series on one of Sweden’s largest streaming platforms. LÄS MER
5. Comparative Analysis of Machine Learning Methods for Predicting Property Prices and Sale Velocities in the Real Estate Industry
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The real estate industry is one of the largest industries in the world and using data-driven decision-making has been shown to increase companies’ profitability. A technique to apply data-driven decision-making is machine learning. LÄS MER