Sökning: "performance matrix"

Visar resultat 1 - 5 av 398 uppsatser innehållade orden performance matrix.

  1. 1. Mining infrequent group of motifs from multidimensional time series: A case study at Alfa Laval AB

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Fabeena Thoufeeq; Reeba Susan Ashok; [2024]
    Nyckelord :;

    Sammanfattning : In collaboration with an industrial partner, Alfa Laval AB, this thesis discusses a novel approach for identifying operational modes, specifically a cleaning mode, in separator machines without the benefit of labelled data and with very limited operating knowledge. Understanding the operational modes is crucial for comprehending the machine’s behaviour and ensuring its optimal performance. LÄS MER

  3. 2. 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

  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