Essays about: "Djupinlärning"

Showing result 26 - 30 of 374 essays containing the word Djupinlärning.

  1. 26. Volumetric Image Segmentation of Lizard Brains

    University essay from KTH/Tillämpad fysik

    Author : Yulia Dragunova; [2023]
    Keywords : image segmentation; deep learning; atlas; lizard brain; micro-CT; image augmentation; bild segmentering; djupinlärning; atlas; ödelhjärna; mikro-datortomagrofi; datautökning;

    Abstract : Accurate measurement brain region volumes are important in studying brain plasticity, which brings insight into the fundamental mechanisms in animal, memory, cognitive, and behavior research. The traditional methods of brain volume measurements are ellipsoid or histology. READ MORE

  3. 27. Recommending digital books to children : Acomparative study of different state-of-the-art recommendation system techniques

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Malvin Lundqvist; [2023]
    Keywords : Recommendation Systems; Collaborative Filtering; Matrix Factorization; Multi-Layer Perceptron; Neural Network-based Collaborative Filtering; Implicit Feedback; Deep Learning; Term Frequency-Inverse Document Frequency; Rekommendationssystem; Kollaborativ filtrering; Matrisfaktorisering; Flerlagersperceptron; Neurala nätverksbaserad kollaborativ filtrering; Implicit data; Djupinlärning; Termfrekvens med omvänd dokumentfrekvens;

    Abstract : Collaborative filtering is a popular technique to use behavior data in the form of user’s interactions with, or ratings of, items in a system to provide personalized recommendations of items to the user. This study compares three different state-of-the-art Recommendation System models that implement this technique, Matrix Factorization, Multi-layer Perceptron and Neural Matrix Factorization, using behavior data from a digital book platform for children. READ MORE

  4. 28. Deep Learning for the prediction of RASER-MRI profiles

    University essay from Linköpings universitet/Medie- och Informationsteknik

    Author : Filip Arvidsson; Jonas Bertilson; [2023]
    Keywords : MRI; NMR; AI; Deep Learning; RASER-MRI; Media Technology; KIT; LIU; CNN; Autoencoder; Djupinlärning; Medieteknik; Magnetröntgen;

    Abstract : Magnetic resonance imaging (MRI) is a critical diagnostic tool in medical practice, enabling non-invasive visualization of anatomy and physiological processes. Nonetheless, MRI has inherent spatial resolution limitations, which may limit its diagnostic capabilities. READ MORE

  5. 29. Regularizing Vision-Transformers Using Gumbel-Softmax Distributions on Echocardiography Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Alfred Nilsson; [2023]
    Keywords : Deep Learning; Vision-Transformers; Echocardiography; Feature Selection; Gumbel-Softmax; Concrete Autoencoders; Regression; Djupinlärning; Vision-Transformers; Ekokardiografi; Feature Selection; GumbelSoftmax; Concrete Autoencoders; Regression;

    Abstract : This thesis introduces an novel approach to model regularization in Vision Transformers (ViTs), a category of deep learning models. It employs stochastic embedded feature selection within the context of echocardiography video analysis, specifically focusing on the EchoNet-Dynamic dataset. READ MORE

  6. 30. Ankle Torque Estimation Using HDEMG Driven CNN-LSTM Model and Data Augmentation

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Haocheng Zhang; [2023]
    Keywords : data augmentation; deep learning; ankle joint torque estimation; HD-sEMG; dataökning; djupinlärning; vridmomentuppskattning av ankelleden; HD-sEMG;

    Abstract : Robotic-powered exoskeletons are increasingly used to assist patients with movement disorders in daily life and rehabilitation. Accurately estimating joint torque, especially for dynamic movement conditions using EMG, is crucial for effective assistance. READ MORE