Sökning: "binary classification."

Visar resultat 1 - 5 av 73 uppsatser innehållade orden binary classification..

  1. 1. Malignant Melanoma Classification with Deep Learning

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Jakob Kisselgof; [2019]
    Nyckelord :Melanoma classification deep learning;

    Sammanfattning : Malignant melanoma is the deadliest form of skin cancer. If correctly diagnosed in time, the expected five-year survival rate can increase up to 97 %. Therefore, exploring various methods for early detection can contribute with tools which can be used to improve detection of disease and finally to make sure that help is given in time. LÄS MER

  2. 2. Identification of Flying Drones in Mobile Networks using Machine Learning

    Master-uppsats, Linköpings universitet/Kommunikationssystem

    Författare :Elias Alesand; [2019]
    Nyckelord :Drones; Machine Learning; LTE; Mobile networks; Radio; Decision tree; Ensemble learning;

    Sammanfattning : Drone usage is increasing, both in recreational use and in the industry. With it comes a number of problems to tackle. Primarily, there are certain areas in which flying drones pose a security threat, e.g. LÄS MER

  3. 3. Feasibility Study for Autovalidation of Blood Cells in a Digital Morphology System

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Elin Branzell; Linnea Hellholm; [2019]
    Nyckelord :Technology and Engineering;

    Sammanfattning : This thesis was carried out at CellaVision, a company within digital blood analysis, with the aim of investigating the possibility of autovalidation of blood cells using neural networks. The thesis started with preparing a dataset for training and validation, including cell features and binary labels indicating if the cell is easy or difficult to classify. LÄS MER

  4. 4. Customer Churn Prediction for PC Games : Probability of churn predicted for big-spenders usingsupervised machine learning

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Valgerdur Tryggvadottir; [2019]
    Nyckelord :Customer churn prediction; whales; data analysis; machine learning; binary classification.; Kund churn prediktering; valar; dataanalys; maskinlärning; binär klas-sificering.;

    Sammanfattning : Paradox Interactive is a Swedish video game developer and publisher which has players all around the world. Paradox’s largest platform in terms of amount of players and revenue is the PC. LÄS MER

  5. 5. A Comparative Study of the Effect of Features on Neural Networks within Computer-Aided Diagnosis of Alzheimer's Disease

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

    Författare :Mikael Kolanowski; David Stevens; [2019]
    Nyckelord :Alzheimer’s disease; computer-aided diagnosis; machine learning; artificial neural networks; Alzheimers sjukdom; datorstödd diagnos; maskininlärning; artificiella neuronnät;

    Sammanfattning : Alzheimer’s disease is a neurodegenerative disease that affects approximately 6% of the global population aged over 65 and is forecasted to become even more prevalent in the future. Accurately diagnosing the disease in an early stage can play a large role in improving the quality of life for the patient. LÄS MER