Sökning: "matrix models"

Visar resultat 1 - 5 av 337 uppsatser innehållade orden matrix models.

  1. 1. Robotic Automation of Mechanical Verification

    Master-uppsats, KTH/Integrerad produktutveckling och design

    Författare :Sofie Gårdestam; Amalia Kronér; [2024]
    Nyckelord :;

    Sammanfattning : This master thesis explores the implementation of Collaborative robots into Elekta's mechanical product verification process. Elekta is a pioneer in precision radiation therapy solutions. Ensuring the compliance of Elekta's products with performance, safety, and quality criteria is of great importance. LÄS MER

  3. 2. Mobile Device Industry in China : A study on Chinese mobile device industry from an ecosystem point of view

    Master-uppsats, Uppsala universitet/Institutionen för samhällsbyggnad och industriell teknik

    Författare :Lundao Gao; Yinfei Zhang; [2024]
    Nyckelord :;

    Sammanfattning : Under the global trend of digital transformation development, Chinese mobile device industry has rapid expansion and yield significant economic benefits and social impacts both domestically and internationally. This growth is driven by the advancement of 5G technology, which has revolutionized various aspects of the industry, including manufacturing, products, and consumer demand. LÄS MER

  4. 3. Image-driven simulation of brain tumors using a reaction-diffusion mathematical model

    Master-uppsats, Linköpings universitet/Avdelningen för medicinsk teknik

    Författare :Kristos Qiqi; [2023]
    Nyckelord :brain tumor; cancer; mathematical model; simulation; magnetic resonance images; hjärntumör; cancer; matematisk model; simulering; magnetresonanstomografi bilder;

    Sammanfattning : Brain tumors pose a big challenge in the field of neuro-oncology. Gliomas are the largest subgroup. Magnetic resonance imaging is a non-invasive tool for detecting and characterizing these tumors. Mathematical models, such as the reaction-diffusion equation, can be used for understanding the intricate behavior of gliomas. LÄS MER

  5. 4. Image-classification for Brain Tumor using Pre-trained Convolutional Neural Network

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

    Författare :Bushra Alsabbagh; [2023]
    Nyckelord :Brain tumor; Deep learning; Convolutional Neural Network CNN ; diagnosis; Image classification; pre-trained models; dataset; economic impact.; Cancer; Hjärntumör; Artificiell intelligens AI ; djupinlärning; konvolutionellt neuralt nätverk CNN ; Diagnostik; Bildklassificering; förtränade modeller; dataset.;

    Sammanfattning : Brain tumor is a disease characterized by uncontrolled growth of abnormal cells in the brain. The brain is responsible for regulating the functions of all other organs, hence, any atypical growth of cells in the brain can have severe implications for its functions. LÄS MER

  7. 5. Stock market analysis with a Markovian approach: Properties and prediction of OMXS30

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Max Aronsson; Anna Folkesson; [2023]
    Nyckelord :Markov chain; OMXS30; Markov chain properties; voting ensemble model; markovkedja; OMXS30; egenskaper hos markovkedjor; ensemble-modell;

    Sammanfattning : This paper investigates how Markov chain modelling can be applied to the Swedish stock index OMXS30. The investigation is two-fold. Firstly, a Markov chain is based on index data from recent years, where properties such as transition matrix, stationary distribution and hitting time are studied. LÄS MER