Essays about: "thesis GPU image processing"

Showing result 1 - 5 of 28 essays containing the words thesis GPU image processing.

  1. 1. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

    Author : Jiayi Feng; [2023]
    Keywords : DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE

  3. 2. Robust Background Segmentation For Use in Real-time Application : A study on using available foreground-background segmentation research for real-world application

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Emil Brynielsson; [2023]
    Keywords : Image segmentation; Foreground segmentation; Background Segmentation; Remote guidance;

    Abstract : In a world reliant on big industries to produce large quantities of more or less every product used, it is of utmost importance that the machines in such industries continue to run with minimum amounts of downtime. One way more and more providers of such industrial machines try to help their customers reduce downtime when a machine stops working or needs maintenance is through the use of remote guidance; a way of knowledge transfer from a technician to a regular employee that aims to allow the regular employee to be guided in real-time by a technician to solve the task himself, thus, not needing the technician to travel to the factory. READ MORE

  4. 3. Comparative Analysis of Transformer and CNN Based Models for 2D Brain Tumor Segmentation

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Henrik Träff; [2023]
    Keywords : Machine Learning; ML; AI; Computer vision; Vision Transformer; Swin Transformer; U-Net; nnU-Net; Brain Tumor Segmentation; Deep Learning;

    Abstract : A brain tumor is an abnormal growth of cells within the brain, which can be categorized into primary and secondary tumor types. The most common type of primary tumors in adults are gliomas, which can be further classified into high-grade gliomas (HGGs) and low-grade gliomas (LGGs). READ MORE

  5. 4. Procedural Natural Texture Generation on a Global Scale

    University essay from Linköpings universitet/Informationskodning

    Author : Anna Pohl Lundgren; [2023]
    Keywords : computer graphics; procedural generation; procedural textures; gpu; image processing; satellite imagery; real time; real-time; shadow detection;

    Abstract : This Master’s thesis investigates the application of dynamically generated procedural terrain textures for texturing 3D representations of the Earth’s surface. The study explores techniques to overcome limitations of the currently most common method – projecting satellite imagery onto the mesh – such as insufficient resolution for close-up views and challenges in accommodating external lighting models. READ MORE

  6. 5. Optimization of an advanced algorithm for bone imaging

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Adam Mrozek; [2022]
    Keywords : osteoporosis; optimization; programming; engineering; X-ray; bone; mineral density; speed; faster; projection; MATLAB; C ; Technology and Engineering;

    Abstract : Fracture risk in osteoporosis is increased and osteoporosis is the most common metabolic bone disease and treatment is expensive. Osteoporosis is diagnosed by measuring Bone Mineral Density (BMD), which does not consider other factors such as bone geometry or architecture. READ MORE