Sökning: "Segmentation"
Visar resultat 21 - 25 av 1098 uppsatser innehållade ordet Segmentation.
21. A Multi-Variate Regression Analysis on Telecommunication Sites in a Sub-Saharan Country
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : The purpose of this bachelor thesis is to investigate how different variables impact voice and data traffic for a telecom operator that operates in an undisclosed Sub-Saharan African country. The data has been provided by said company. LÄS MER
22. A Multi-camera based Next Best View Approach for Semantic Scene Understanding
Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Robots are becoming more common; robotics has gone from bleeding-edge technology to an everyday topic that families discuss around thedinner table.The number of robots in the industry is growing, which means thatthe demand and need for robots to understand the environment it isworking in is also growing. LÄS MER
23. Lokalisering av borrhål i underjordsgruvor : Face drilling, del av adaptive automations projekt på Epiroc
Master-uppsats, Örebro universitet/Institutionen för naturvetenskap och teknikSammanfattning : Yrkesmän har manuellt gjort borrplaner för varje borrsekvens, men denna modul med ett neuralt nätverk för punktmolnssegmentering- och- klassificering kommer att underlätta yrkesmännens behov genom att förenkla processen och utesluta orimliga delar i utgångsplanen. Dettaexamensarbete, som utförts i samarbete med Epiroc, en svensk tillverkare av gruv- och infrastrukturutrustning, fokuserar på att automatisera borrprocessen vid underjordisk gruvdrift. LÄS MER
24. Analysis of speaking time and content of the various debates of the presidential campaign : Automated AI analysis of speech time and content of presidential debates based on the audio using speaker detection and topic detection
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The field of artificial intelligence (AI) has grown rapidly in recent years and its applications are becoming more widespread in various fields, including politics. In particular, presidential debates have become a crucial aspect of election campaigns and it is important to analyze the information exchanged in these debates in an objective way to let voters choose without being influenced by biased data. LÄS MER
25. Domain Adaptation for Multi-Contrast Image Segmentation in Cardiac Magnetic Resonance Imaging
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Accurate segmentation of the ventricles and myocardium on Cardiac Magnetic Resonance (CMR) images is crucial to assess the functioning of the heart or to diagnose patients suffering from myocardial infarction. However, the domain shift existing between the multiple sequences of CMR data prevents a deep learning model trained on a specific contrast to be used on a different sequence. LÄS MER