Sökning: "method accuracy"

Visar resultat 1 - 5 av 2374 uppsatser innehållade orden method accuracy.

  1. 1. Feature Selection for Microarray Data via Stochastic Approximation

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Erik Rosvall; [2024-03-18]
    Nyckelord :feature selection; feature ranking; microarray data; stochastic approximation; Barzilai and Borwein method; Machine Learning; AI;

    Sammanfattning : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. LÄS MER

  3. 2. Finite element density functional description of linear molecules

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

    Författare :Malin Nygren; [2024]
    Nyckelord :;

    Sammanfattning : This report describes a project performed at Linnaeus University with the task of solving the Schrodinger equation for electrons in homonuclear diatomic molecules, using the finite element method in Python. The Schrodinger equation is solved for the hydrogen atom, nitrogen atom, hydrogen molecule and nitrogen molecule using a finite element method. LÄS MER

  4. 3. Process parameter optimisation for Waspaloy using Laser-Directed Energy Deposition with Powder

    Kandidat-uppsats, Högskolan Väst/Institutionen för ingenjörsvetenskap

    Författare :Johannes Lövhall; [2024]
    Nyckelord :Process parameter optimisation; Waspaloy; Laser-Directed Energy Deposition with Powder;

    Sammanfattning : Material utilisation is of importance in the manufacturing industry formaking the most of each material, minimising waste and increasing cost-effectiveness. In this thesis, samples of Waspaloy built with the method of L-DED-P has been analysed in order to investigate how process pa-rameters influence the build quality and geometrical accuracy in as-builtobjects. LÄS MER

  5. 4. Hunting the hunters - Evaluating a new method of Geographic Profiling

    Kandidat-uppsats, Lunds universitet/Statsvetenskapliga institutionen

    Författare :Max Pröckl; [2024]
    Nyckelord :rgeoprofile; crimestat; journey-to-crime; geographic profiling; qgis; geographical profiling; Örebromannen; Kim Rossmo; David Canter; Ned Levine.; Law and Political Science;

    Sammanfattning : Geographic Profiling (GP) may be used when searching for an unknown offender by applying mathematical algorithms to geographical information. This thesis aimed to contribute to improvement of the efficiacy of GP’s produced by law enforcement by evaluating a the new Spaulding/Morris Centrographic (SMC)-method of GP that claims to counteract two of the main difficulties when constructing a GP in a real world investigation: 1. LÄS MER

  7. 5. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Nikolaos Staikos; [2024]
    Nyckelord :Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Sammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER