Sökning: "Modellanpassning"

Visar resultat 1 - 5 av 10 uppsatser innehållade ordet Modellanpassning.

  1. 1. XAI-assisted Radio Resource Management: Feature selection and SHAP enhancement

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

    Författare :Nicolás Sibuet Ruiz; [2022]
    Nyckelord :Deep Learning; Explainable Artficial Intelligence; 5G; Model Reduction; Deep Learning; Förklarlig AI; 5G; Modellreduktion;

    Sammanfattning : With the fast development of radio technologies, wireless systems have become more convoluted. This complexity, accompanied by an increase of the number of connections, is translated into a need for more parameters to analyse and decisions to take at each instant. LÄS MER

  3. 2. DevOps for Data Science System

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

    Författare :Zhongjian Zhang; [2020]
    Nyckelord :Data science; DevOps; convolutional neural network; transfer learning;

    Sammanfattning : Commercialization potential is important to data science. Whether the problems encountered by data science in production can be solved determines the success or failure of the commercialization of data science. Recent research shows that DevOps theory is a great approach to solve the problems that software engineering encounters in production. LÄS MER

  4. 3. Dynamic Modelling and Optimal Control of Autonomous Heavy-duty Vehicles

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

    Författare :Kartik Seshadri Chari; [2020]
    Nyckelord :Autonomous driving; Dynamic bicycle model; Magic Formula; Model matching; MPC; Clothoids; Autonom körning; Fordonsmodell; Modellanpassning; MPC; Klothoider;

    Sammanfattning : Autonomous vehicles have gained much importance over the last decade owing to their promising capabilities like improvement in overall traffic flow, reduction in pollution and elimination of human errors. However, when it comes to long-distance transportation or working in complex isolated environments like mines, various factors such as safety, fuel efficiency, transportation cost, robustness, and accuracy become very critical. LÄS MER

  5. 4. Att klassificera med Support Vector Machines - En introduktion från teori till analys

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Alexandra Milton; Marcus Svensson; [2018]
    Nyckelord :Support Vector Machines; Klassificering; Maskininlärning; Mathematics and Statistics;

    Sammanfattning : The purpose of this paper is to give a short introduction to support vector machines. The paper intends to cover the full process from theory to analysis in the binary classification case. LÄS MER

  7. 5. Development of an innovative cooling concept for turbofan engines

    Master-uppsats, KTH/Energiteknik

    Författare :Ali Kapekov; [2018]
    Nyckelord :;

    Sammanfattning : This paper is submitted in support of a candidature for the Double Degree in Vehicle Engineering with a specialization in Aerospace between KTH Royal Institute of Technology, Sweden, and Ecole Centrale Lyon, France. The present report emphasizes a research project for current or next generation turbofan engines used in civil aviation, and especially its equipment integration from a thermal management point of view. LÄS MER