Sökning: "source domain"

Visar resultat 16 - 20 av 267 uppsatser innehållade orden source domain.

  1. 16. MLpylint: Automating the Identification of Machine Learning-Specific Code Smells

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Peter Hamfelt; [2023]
    Nyckelord :Code Smell; Machine Learning; Static Code Analysis; Software Quality; Technical Debt;

    Sammanfattning : Background. Machine learning (ML) has rapidly grown in popularity, becoming a vital part of many industries. This swift expansion has brought about new challenges to technical debt, maintainability and the general software quality of ML systems. LÄS MER

  3. 17. Development of HVAC simulations for truck cabins using OpenFOAM

    Master-uppsats, Linköpings universitet/Mekanisk värmeteori och strömningslära

    Författare :Junaid Haider; [2023]
    Nyckelord :Computational Fluid Dynamics; OpenFOAM; Conjugate Heat Transfer; chtMultiRegionFoam;

    Sammanfattning : In regions with cold climates, a layer of ice often forms on vehicle windshields, whichobstructs the driver’s view. To address this issue, vehicles are equipped with internal defrosters. However, at Scania, the evaluation of defroster design performancecurrently relies on time-consuming and costly physical testing. LÄS MER

  4. 18. Hidden Communities Of Practice : An Exploratory Case Study on the Integration of Immigrant Women in Malmö

    Magister-uppsats, Malmö universitet/Institutionen för Urbana Studier (US)

    Författare :Asmita Dalavi; Isabel Pontes; [2023]
    Nyckelord :Community of Practice; Mutual Engagement; Joint Enterprise; Shared Repertoire; Immigrant Women; Sweden; Malmö; Situated Learning; Knowledge Sharing;

    Sammanfattning : Integration of immigrants has become a major focus of the EU policy agenda in recent years with Sweden being one of the first EU countries to address the need for immigrant integration. However, in recent times integration outcomes in Sweden have become unfavourable. LÄS MER

  5. 19. Unsupervised Domain Adaptation for 3D Object Detection Using Adversarial Adaptation : Learning Transferable LiDAR Features for a Delivery Robot

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

    Författare :Mattias Hansson; [2023]
    Nyckelord :Unsupervised Domain Adaptation; 3D Object Detection; Mobile Robotics; Adversarial Adaptation; Computer Vision; Oövervakad Domänanpassning; 3D Objektigenkänning; Mobila Robotar; Motspelaranpassning; Datorseende;

    Sammanfattning : 3D object detection is the task of detecting the full 3D pose of objects relative to an autonomous platform. It is an important perception system that can be used to plan actions according to the behavior of other dynamic objects in an environment. LÄS MER

  7. 20. EDPM : An embedded domain-specific language for performance monitoring C and C++ programs

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :David Weisskopf Holmqvist; [2023]
    Nyckelord :performance monitoring; domain-specific languages; language abstractions; compilers;

    Sammanfattning : Manual insertion of performance monitoring probes gives programmers great control over the performance counters collected, but brings with it problems such as increased code size, obfuscated logic in code due to intermingling of application logic and performance probes, and time and mental cost required to learn the APIs of different performance monitoring tools. EDPM is an embedded domain-specific language that seeks to raise the level of abstraction for marking regions of code that need to be instrumented in C and C++ programs, designed to be easy to learn for programmers and to reduce the lines of code needed to collect performance counters. LÄS MER