Sökning: "SVM classification"

Visar resultat 36 - 40 av 215 uppsatser innehållade orden SVM classification.

  1. 36. The effect of the hyperparameters of an RBF SVM on classifying pneumonia

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Rikaz Nismi; Alfred Hoflin; [2022]
    Nyckelord :;

    Sammanfattning : Pneumonia is a deadly disease if gone untreated. In order to treat it, first it has to be discovered, which can be done by examining patterns of chest X-ray images. This process can be done by human experts but there is also a desire to make it more efficient by utilizing machine learning. LÄS MER

  3. 37. Användning av maskininlärning för identifiering av källare med hjälp av byggnadsdata

    Kandidat-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Carolin Nordström; Emma Ryngberg; [2022]
    Nyckelord :;

    Sammanfattning : The study investigates whether it is possible to use machine learning (ML) and existing building data to identify whether a building has a basement or not. The study discusses various steps needed for the development of the machine learning models such as data collection, data preparation and implementation of the models using appropriate frameworks as well as analysis and evaluation of results. LÄS MER

  4. 38. Image classification of pediatric pneumonia : A comparative study of supervised statistical learning techniques

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Jacob Rönnefall; Jakob Wendel; [2022]
    Nyckelord :Machine learning; Algorithm; Logistic regression; K-nearest-neighbor; Support vector machine; Neural network; Sensitivity; Specificity; ROC; Accuracy;

    Sammanfattning : A child dies of pneumonia every 39 seconds, and the process of preventing deaths caused by pneumonia has been considerably slower compared to other infectious diseases. Meanwhile, the traditional method of manually diagnosing patients has reached its ceiling on performance. LÄS MER

  5. 39. Human Skeleton-based Transfer Learning on Personalized Rehabilitation Training Recognition

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Ying Peng; [2022]
    Nyckelord :;

    Sammanfattning : Personalized rehabilitation training programs depend on the patient’s physical condition and the physiotherapist’s diagnosis, which varies for different people. As a patient, achieving a good training effect requires multiple periods, but rehabilitation training at home is often ineffective due to a lack of supervision and guidance. LÄS MER

  7. 40. Predictive Study of Flame status inside a combustor of a gas turbine using binary classification

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Sreenand Sasikumar; [2022]
    Nyckelord :Binary Classification; Random Forest; SVM; XGBoost; Logistic Regression; Extra-trees; GasTurbine; Flame Detection;

    Sammanfattning : Quick and accurate detection of flame inside a gas turbine is very crucial to mitigaterisks in power generation. Failure of flame detection increases downtime and maintenancecosts and on rare occasions it may cause explosions due to buildup of incombustible fuel inside the combustion chamber. LÄS MER