Sökning: "Bridge classification"

Visar resultat 1 - 5 av 20 uppsatser innehållade orden Bridge classification.

1. 1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Marisa Wodrich; [2024]
   Nyckelord :Uncertainty quantification; Deep learning; Breast cancer classification; Trustworthy AI; Point-of-care ultrasound; Mathematics and Statistics;

   Sammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER

3. 2. Performance metrics and velocity influence for point cloud registration in autonomous vehicles

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Óscar Poveda Ruiz; [2023]
   Nyckelord :autonomous vehicle; localization; registration; metrics; error; classification; estimation; autonomt fordon; lokalisering; registrering; mätvärden; fel; klassificering; uppskattning;

   Sammanfattning : Autonomous vehicles are currently under study and one of the critical parts is the localization of the vehicle in the environment. Different localization methods have been studied over the years, such as the GPS sensor, commonly fused with other sensors such as the IMU. LÄS MER

4. 3. Meta-Pseudo Labelled Multi-View 3D Shape Recognition

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

   Författare :Fehmi Ayberk Uçkun; [2023]
   Nyckelord :3D shape recognition; 3D object classification; 3D shape retrieval; 3D object retrieval; Automatic labelling; Semi-supervised learning; Pseudo labelling; Meta Pseudo Labelling; Multi-View Convolutional Neural Networks; Shape descriptors; Multi-view representations; Deeplearning; 3D-formigenkänning; 3D-objektklassificering; 3D-formhämtning; Hämtning av 3D-objekt; Automatisk märkning; Halv-vägledd lärning; Pseudomärkning; Meta Pseudo-märkning; Multi-View Faltningsnät; Formbeskrivningar; Multi-view representation; Djupinlärning;

   Sammanfattning : The field of computer vision has long pursued the challenge of understanding the three-dimensional world. This endeavour is further fuelled by the increasing demand for technologies that rely on accurate perception of the 3D environment such as autonomous driving and augmented reality. LÄS MER

5. 4. Attribute Embedding for Variational Auto-Encoders : Regularization derived from triplet loss

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

   Författare :Anton E. L. Dahlin; [2022]
   Nyckelord :Variational Auto-Encoder; Triplet Loss; Contrastive Loss; Generative Models; Metric Learning; Latent Space; Attribute Manipulation; Variationsautokodare; Triplettförlust; Kontrastiv Förlust; Generativa Modeller; Metrisk Inlärning; Latent Utrymme; Attributmanipulation;

   Sammanfattning : Techniques for imposing a structure on the latent space of neural networks have seen much development in recent years. Clustering techniques used for classification have been used to great success, and with this work we hope to bridge the gap between contrastive losses and Generative models. LÄS MER

7. 5. CLASSIFICATION OF BRIDGES IN LASER POINT CLOUDS USING MACHINE LEARNING

   Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

   Författare :Sunny Liao Nilsson; Martin Norrbom; [2021]
   Nyckelord :;

   Sammanfattning : In this work, machine learning was being used for bridge detection in point clouds. To estimate the performance, it was compared to an existing algorithm based on traditional methods for point classification. The purpose of this work was to use machine learning for bridge classification in point clouds. LÄS MER