Sökning: "world mapping method"

Visar resultat 16 - 20 av 120 uppsatser innehållade orden world mapping method.

  1. 16. Climate Change and Long-term Economic Impact : Analysis of Swedish Counties

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

    Författare :Marcus Martinsson; [2023]
    Nyckelord :Climate change; economic impact; long-run; long-term; Sweden;

    Sammanfattning : Climate change poses a significant challenge to economies throughout the world; understanding its potential economic impacts at the regional level is important for making informed policy decisions and mapping out effective adaptation strategies. This thesis examines the long-run effect of climate change in Sweden, an environmentally diverse, developed country with ambitious sustainability goals. LÄS MER

  3. 17. Evaluating .NET MAUI as a replacement for native Android mobile application development with focus on performance

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Lukas Palmqvist; [2023]
    Nyckelord :NET MAUI; cross-platform; Android; performance;

    Sammanfattning : Background: These days when developing applications for mobile platforms, therehave been two main branches to pick between as a developer. The first option– denoted native development – targets only one specific mobile operating system(OS). The other is cross-platform development which can target multiple platformssimultaneously. LÄS MER

  4. 18. En studie av materialhantering inom bilindustrin : Utförd vid Aurobays monteringslina för förbränningsmotorer.

    M1-uppsats, Jönköping University/Tekniska Högskolan

    Författare :Edvin Johansson; Joacim Kärrman; [2023]
    Nyckelord :Internlogistik; materialförsörjning; materialplanering;

    Sammanfattning : The automotive industry is a highly competitive market where companies from all over the world are active. Customers and laws place high demands on this ever-changing industry. LÄS MER

  5. 19. Segmentation of companies using DBSCAN and K-Means

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jacob Dahlkvist; William Tomczak; [2022]
    Nyckelord :;

    Sammanfattning : Data management and machine learning have become an important tool for organizations around the world, to be able to provide a basis for further processing, for example. This work aims at helping a company with mapping of corporate industries with the help of keywords from companies’ websites. We will do this with machine learning. LÄS MER

  7. 20. Explanation Methods for a Medical Image Classifier by Analysis of its Uncertainty

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sanskar Gupta; [2022]
    Nyckelord :Uncertainty; Confidences; Calibration; Clustering; Multiclass classification;

    Sammanfattning : Over the last decade, neural networks have reached almost every field of science and technology. They have become a crucial part of various real-world applications, such as medical imaging. LÄS MER