Sökning: "model evaluation"

Visar resultat 1 - 5 av 3503 uppsatser innehållade orden model evaluation.

  1. 1. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes

    Master-uppsats, Institutionen för tillämpad informationsteknologi

    Författare :Mathias Forsman; Yihan Yang; [2024-03-05]
    Nyckelord :Automotive Industry; Early Problem Identification; Diagnostic Trouble Code; Case Study; Laboratory Experiment ; Machine Learning; Linear Regression; K-means Clustering;

    Sammanfattning : In the current automotive industry, problem identification is a reactive process. It starts when the customer experiences a vehicle problem and goes to the workshop. Subsequently, all the problem-related data will be collected from the workshop and forwarded to the vehicle manufacturer. LÄS MER

  3. 2. Robust Object Recognition and Tracking with Drones

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Jiaying Wu; [2024]
    Nyckelord :;

    Sammanfattning : The Skara Skyddsängel project explores an innovative method of providing illumination for cyclists along a 20km unlit bike lane using drones. Current GNSS approach performs generally well but further improvements are need for better robustness. Consequently, this thesis project is raised to seek a robust solution in the field of computer vision. LÄS MER

  4. 3. Stadsodling i Hamnparken, Nyhamnen Malmö : undersöker Torontomodellen som beslutsstöd för potentiellt förorenad mark

    Kandidat-uppsats, SLU/Dept. of Biosystems and Technology (from 130101)

    Författare :Lova Hambraeus; Karin Stureson; [2024]
    Nyckelord :bly Pb ; fytoremediering; markanalys; miljöföroreningar; Nyhamnen; PAH; stadsodling; Torontomodellen;

    Sammanfattning : Befolkningen ökar och städer blir tätare. Detta skapar ett behov av att utöka matproduktionen och stärka livsmedelsförsörjningen i staden, samt bygga upp platser för mental hälsa och social interaktion. Ett möjligt sätt att göra detta är genom att börja stadsodla. LÄS MER

  5. 4. 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

  7. 5. Physical Layer Security for MIMOTransmission of Short PacketCommunications

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Varun Duvva; Bharath Reddy Anugu; [2024]
    Nyckelord :Physical Layer Security; Multiple-Input Multiple-Output; Short Packet communication; Maximum Ratio Combining; Maximum Ratio Transmission; and Beamforming;

    Sammanfattning : This thesis explores the practical application of Physical Layer Security (PLS) inMultiple-Input Multiple-Output (MIMO) systems, particularly focusing on ShortPacket Communication (SPC). The aim is to enhance the security of wireless com-munications against eavesdropping threats. LÄS MER