Sökning: "Algorithm comparison"
Visar resultat 21 - 25 av 677 uppsatser innehållade orden Algorithm comparison.
21. Segmentation of Neuronal Cells Using Simplistic Methods : A Comparison of the Mean Shift Algorithm and Otsu’s Method
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Information regarding specific neuronal characteristics, such as shape and distribution, is essential for quantifying the brain structure and modelling accurate computer simulations. To this end, it is important to perform cell segmentation; to isolate the cells in a given image from the surrounding tissue, so it can be further analysed. LÄS MER
22. Lithium abundances through distinct stellar populations in Omega Centauri
Kandidat-uppsats, Uppsala universitet/Institutionen för fysik och astronomiSammanfattning : The renowned Omega Centauri (NGC 5139) is one of the most massive and complex known globular clusters in terms of multiple populations. In this project, we aim to investigate the chemical abundance of lithium in RBG stars in this cluster in pursuit of unraveling the that govern the formation of these distinct populations. LÄS MER
23. AI and real-time Strategy Games
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : As artificial intelligence continues to progress, applications hope to have AI perform tasks as good, if not better, than a human. A good way to test theoretical applications is through games, simple to complex. LÄS MER
24. Comparison and performance analysis of deep learning techniques for pedestrian detection in self-driving vehicles
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Self-driving cars, also known as automated cars are a form of vehicle that can move without a driver or human involvement to control it. They employ numerous pieces of equipment to forecast the car’s navigation, and the car’s path is determined depending on the output of these devices. LÄS MER
25. Deep Learning-Driven EEG Classification in Human-Robot Collaboration
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Human-robot collaboration (HRC) occurs when people and robots work together in a shared environment. Current robots often use rigid programs unsuitable for HRC. Multimodal robot programming offers an easier way to control robots using inputs like voice and gestures. LÄS MER