Sökning: "Domain adaptation"

Visar resultat 1 - 5 av 83 uppsatser innehållade orden Domain adaptation.

  1. 1. Sink or Swim: Sea Level Rise Adaptation in Venice, Italy : A case of citizen non-participation

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Jesper Karlsson; [2023]
    Nyckelord :civic capacity; climate change; Gioia methodology; MOSE; project development; public involvement;

    Sammanfattning : Due to global warming, sea levels will irreversibly continue to rise around the world throughout this century. Therefore, coastal urban communities will need to adapt to new environmental challenges, such as more frequent and intense flood events. LÄS MER

  3. 2. Enhancing human-robot interaction using mixed reality

    Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Författare :Santiago Molina Morillas; [2023]
    Nyckelord :Human-robot interaction; mixed reality; autonomous mobile robots; safety;

    Sammanfattning : Industry 4.0 is a new phase of industrial growth that has been ushered in by the quick development of digital technologies like the Internet of Things (IoT), artificial intelligence (AI), and robots. Collaborative robotic products have appeared in this changing environment, enabling robots to collaborate with people in open workspaces. LÄS MER

  4. 3. GPU-Based Path Optimization Algorithm in High-Resolution Cost Map with Kinodynamic Constraints : Using Non-Reversible Parallel Tempering

    Master-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Författare :Daniel Greenberg; [2023]
    Nyckelord :;

    Sammanfattning : This thesis introduces a GPU-accelerated algorithm for path planning under kinodynamic constraints, focusing on navigation of flying vehicles within a high-resolution cost map. The algorithm operates by creating dynamically feasible initial paths, and a non-reversible parallel tempering Markov chain Monte Carlo scheme to optimize the paths while adhering to the nonholonomic kinodynamical constraints. LÄS MER

  5. 4. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches

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

    Författare :Chenzhou Huang; [2023]
    Nyckelord :Transfer Learning; Condition Monitoring; Domain Adaptation; Neural Network; Powerstrain.; Siirto-oppiminen; kunnonvalvonta; verkkotunnuksen mukauttaminen; neuroverkko; voimansiirto.; Överföring lärande; tillståndsövervakning; domänanpassning; neuralt nätverk; Powerstrain;

    Sammanfattning : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. LÄS MER

  7. 5. Domain Adaptation for Multi-Contrast Image Segmentation in Cardiac Magnetic Resonance Imaging

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Thomas Proudhon; [2023]
    Nyckelord :Cardiac Magnetic Resonance Imaging; Deep Learning; Domain Adaptation; Unsupervised Segmentation; Image-to-image Translation;

    Sammanfattning : Accurate segmentation of the ventricles and myocardium on Cardiac Magnetic Resonance (CMR) images is crucial to assess the functioning of the heart or to diagnose patients suffering from myocardial infarction. However, the domain shift existing between the multiple sequences of CMR data prevents a deep learning model trained on a specific contrast to be used on a different sequence. LÄS MER