Sökning: "Principle Component Analysis"

Visar resultat 1 - 5 av 55 uppsatser innehållade orden Principle Component Analysis.

  1. 1. Primary Drivers of Sea Level Variability in the North – Baltic Sea Transition Using Machine Learning

    Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

    Författare :David Ek; [2023-01-09]
    Nyckelord :;

    Sammanfattning : Global mean sea level is rising, however not uniformly. Regional deviations of sea surface height (SSH) are common due to local drivers, including surface winds, ocean density stratifications, vertical land- & crustal movements and more. LÄS MER

  2. 2. Detecting Chromatography Unit Degradation : Comparison of single- and multi-point techniques implemented in system control and monitoring software

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Max Markensten; [2023]
    Nyckelord :PCA; SOP-MPT; Fibro; chromatography; affinity A;

    Sammanfattning : Chromatography units, used in the production of pharmaceuticals, degrade with use and need to be changed or repackaged. This study investigates the effectiveness of two statistical methods, principal component analysis and simple and one-point multiparameter technique, for determining degradation in the Fibro chromatography unit. LÄS MER

  3. 3. SubKluster: Novel method to bin scaffolds from cereal genomes into subgenomes using substring frequency analysis

    Master-uppsats, Lunds universitet/Examensarbeten i bioinformatik

    Författare :Victor Kalbskopf; [2023]
    Nyckelord :Biology and Life Sciences;

    Sammanfattning : The genome of the Belinda variety of the hexaploid oat (Avena sativa) has recently been sequenced and assembled. This project aims to improve the assembly by clustering the thousands of scaffolds into their three ancestral subgenomes using Principle Component Analysis (PCA) of kmer and repeat-element frequencies. LÄS MER

  4. 4. Predicting Airbnb Prices in European Cities Using Machine Learning

    Kandidat-uppsats, Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Författare :Shalini Gangarapu; Venkata Surya Akash Mernedi; [2023]
    Nyckelord :Machine Learning; Supervised Learning; Regression Algorithms; Airbnb Price Prediction;

    Sammanfattning : Background: Machine learning is a field of computer science that focuses on creating models that can predict patterns and relations among data. In this thesis, we use machine learning to predict Airbnb prices in various European cities to help the hosts in setting reasonable prices for their properties. LÄS MER

  5. 5. Enhancing Mission Success : Perspectives on Adaptive Human-Machine Interfaces

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Gabriel Kourie; [2023]
    Nyckelord :Simulators; demonstrator; mental workload; adaptive HMI; operative performance; requirements analysis;

    Sammanfattning : As part of a project within Saab Aeronautics, a Swedish Fighter Aircraft industry, this study was conducted. The fighter pilot is under immense pressure as he/she ventures into the complex environment that is airspace and air combat in a hostile area. LÄS MER