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Showing result 6 - 10 of 143 essays matching the above criteria.

  1. 6. Fracture simulation with a hyperelastic phase field model

    University essay from KTH/Hållfasthetslära

    Author : Adrien Fradet; [2023]
    Keywords : Fracture; Phase field modeling; Hyperelasticity; Brott; fasfält-methoden; hyperelasticite;

    Abstract : The phase field method is a versatile tool to study crack initiation and propagation in systems with complex geometries. Based on a variational formulation of the equilibrium equations, the sharp crack topology is regularized by a crack with diffusive edges and the damage is described by a continuous phase field variable. READ MORE

  3. 7. Comparing dropout regularization algorithms for convolutional neural networks identifying malignant cells for diagnosis of leukemia

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Hampus Engström; Alexander Koutakis; [2023]
    Keywords : classification; Bernoulli; Gaussian; spatial; machine learning; cancer; myeloid; myeloproliferative neoplasms;

    Abstract : Fast and high quality classifications of cells inflicted with malignant mutations is essential for diagnosing patients with different forms of leukemia, to quickly be able give patients the crucial care they need. Convolutional neural networks (CNNs) can be trained and used for this purpose. READ MORE

  4. 8. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction

    University essay from KTH/Matematisk statistik

    Author : Sabina Syed; Josefin Stenberg; [2023]
    Keywords : Adversarial Convex Regularization; Computer Vision; Cone Beam Computed Tomography; Convolutional Neural Networks; Deep Learning; Image Reconstruction; Adversarial Convex Regularization; Bildrekonstruktion; Datorseende; Djupinlärning; Faltningsnätverk; Volymtomografi;

    Abstract : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. READ MORE

  5. 9. Are Distributed Representations in Neural Networks More Robust Against Malicious Fooling Attacks

    University essay from Högskolan Dalarna/Institutionen för information och teknik

    Author : Nida Sardar; Sundas Khan; [2023]
    Keywords : Adversarial attacks; Information Smearedness; Artificial Neural Networks; Information Relay; Dropout; Fast Gradient Sign Method;

    Abstract : A plethora of data from sources like IoT, social websites, health, business, and many more have revolutionized the digital world in recent years. To make effective use of data for any sort of analysis, prediction, or automation of applications, the demand for machine learning and artificial intelligence has grown over time. READ MORE

  6. 10. 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