Sökning: "CNN Effect"

Visar resultat 1 - 5 av 46 uppsatser innehållade orden CNN Effect.

  1. 1. Classification of Radar Emitters using Semi-Supervised Contrastive Learning

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

    Författare :Tim Jonsson; [2023]
    Nyckelord :;

    Sammanfattning : Radar is a commonly used radio equipment in military and civilian settings for discovering and locating foreign objects. In a military context, pilots being discovered by radar could have fatal consequences. LÄS MER

  3. 2. Machine Learning of Laser Ultrasonic Data to Predict Material Properties

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Filip Tuvenvall; [2023]
    Nyckelord :Machine Learning; Laser Ultrasonics; Material Properties; Steel; Hardness of Steel;

    Sammanfattning : The hardness of steel is an important quality parameter for several industrial applications. Conventional mechanical testing is used in quality testing for material hardness and the method is time-consuming, can cause material mix-ups, and results in material waste. LÄS MER

  4. 3. Machine Learning-based MIMO Indoor Positioning

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Qiyi Chen; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. LÄS MER

  5. 4. A real-time Multi-modal fusion model for visible and infrared images : A light-weight and real-time CNN-based fusion model for visible and infrared images in surveillance

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

    Författare :Jin Wanqi; [2023]
    Nyckelord :Image fusion; deep learning; surveillance; CNN; real time; Bildfusion; djupinlärning; övervakning; CNN; realtid;

    Sammanfattning : Infrared images could highlight the semantic areas like pedestrians and be robust to luminance changes, while visible images provide abundant background details and good visual effects. Multi-modal image fusion for surveillance application aims to generate an informative fused images from two source images real-time, so as to facilitate surveillance observatory or object detection tasks. LÄS MER

  7. 5. Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks

    Master-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

    Författare :Jacob Lindahl; [2023]
    Nyckelord :LDMX; ANN; CNN; GNN; RNN; DM; Physics and Astronomy;

    Sammanfattning : Artificial neural networks is a powerful tool for classifying and identifying patterns in large amounts of data. One of the possible tasks of these networks is classification of data into categories. LÄS MER