Sökning: "support vector machines"

Visar resultat 1 - 5 av 238 uppsatser innehållade orden support vector machines.

  1. 1. Audio Anomaly Detection in Cars

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Asma Hussein; [2023-09-11]
    Nyckelord :Audio Anomaly detection; Outlier detection; Machine learning; Mel Frequency; Chroma;

    Sammanfattning : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. LÄS MER

  3. 2. Mathematical modelling simulation data and artificial intelligence for the study of tumour-macrophage interaction

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Jaysmita Khanindra Chaliha; [2023]
    Nyckelord :;

    Sammanfattning : The study explores the integration of mathematical modelling and machine learning to understand tumour-macrophage interactions in the tumour microenvironment. It details mathematical models based on biochemistry and physics for predicting tumour dynamics, highlighting the role of macrophages. LÄS MER

  4. 3. Comparison of Recommendation Systems for Auto-scaling in the Cloud Environment

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Sai Nikhil Boyapati; [2023]
    Nyckelord :Auto-Scaling; Auto-Scaling Recommendations; Cloud Environment; K-Nearest Neighbors; Machine Learning; Recommendation Systems; Random Forests; Support Vector Machines;

    Sammanfattning : Background: Cloud computing’s rapid growth has highlighted the need for efficientresource allocation. While cloud platforms offer scalability and cost-effectiveness for a variety of applications, managing resources to match dynamic workloads remains a challenge. LÄS MER

  5. 4. Performance comparison of data mining algorithms for imbalanced and high-dimensional data

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

    Författare :Daniel Rubio Adeva; [2023]
    Nyckelord :Data science; neural network; random forest; support vector machine; imbalanced data; average precision; ROC; Datavetenskap; neuralt nätverk; slumpmässig skog; stödvektormaskin; obalanserad data; medelprecision; ROC;

    Sammanfattning : Artificial intelligence techniques, such as artificial neural networks, random forests, or support vector machines, have been used to address a variety of problems in numerous industries. However, in many cases, models have to deal with issues such as imbalanced data or high multi-dimensionality. LÄS MER

  7. 5. Industrial Machine Monitoring: Real-Time Anomalous Sound Event Detection on Low-Powered Devices

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Alexander Magnusson; Anton Andersson; [2023]
    Nyckelord :Anomaly Detection; Sound Event Detection; MFCC; GMM; OCSVM; Mathematics and Statistics;

    Sammanfattning : Traditionally fault detection in industrial machinery has been performed manually by experienced machine operators listening to the machines. However, it is desirable to automate this process to increase efficiency and improve the working environment of the operators. LÄS MER