Sökning: "Algorithm Visualization"
Visar resultat 11 - 15 av 110 uppsatser innehållade orden Algorithm Visualization.
11. Czekanowski’s Clustering : Development of Visualization Possibilities of the RMaCzek Package
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : As one of the most essential data mining tasks, clustering analysis has been widely discussed and employed since its invention. Czekanowski’s diagram, which has been around for over a century as a visualization tool for exploring cluster distributions, is being improved continually. LÄS MER
12. Segmentation, Classification and Tracking of Objects in LiDAR Point Cloud Data Using Deep Learning
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : The purpose of this thesis was to explore deep learning methods of segmentation, classification and tracking of objects in LiDAR data. To do this a complete pipeline was developed, consisting of background filtering, clustering, tracking, labeling and visualization. LÄS MER
13. Development & Integration of Load Path Visualization With the U* Index Method : Applications In Aerospace Product Development
Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för maskinteknikSammanfattning : Determining how loads are distributed in a structure has long been a way for engineers to ensure that the final product will work as intended. As components become more and more complicated so does this analysis. The advantages of quickly identifying critical features in a design are significant. LÄS MER
14. Tracking motion in mineshafts : Using monocular visual odometry
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : LKAB has a mineshaft trolley used for scanning mineshafts. It is suspended down into a mineshaft by wire, scanning the mineshaft on both descent and ascent using two LiDAR (Light Detection And Ranging) sensors and an IMU (Internal Measurement Unit) used for tracking the position. LÄS MER
15. Improving Recommender Engines for Video Streaming Platforms with RNNs and Multivariate Data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : For over 4 years now, there has been a fierce fight for staying ahead in the so-called ”Streaming War”. The Covid-19 pandemic and its consequent confinement only worsened the situation. In such a market where the user is faced with too many streaming video services to choose from, retaining customers becomes a necessary must. LÄS MER