Sökning: "K-Nearest Neighbours"

Visar resultat 11 - 15 av 28 uppsatser innehållade orden K-Nearest Neighbours.

  1. 11. AI Trained to Predict Thresholds of 2D Ellipse Percolation Systems

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

    Författare :Nirav Surajlal; [2021]
    Nyckelord :Low-dimensional Nanomaterials; Percolation Threshold; Machine Learning; Regression; Two-dimensional Heterogeneous Ellipse System; Lågdimensionella nanomaterial; Perkolering Tröskel; Maskininlärning; Regression; Tvådimensionellt Heterogent Ellipssystem;

    Sammanfattning : Percolation theory is a relevant area of research in Nanotechnology because of its wide applications in nanoelectronics based on thin films of nanoparticles and composites, amongst others. In nanotechnology, systems are often explored through modelling and simulations. LÄS MER

  3. 12. Automating the Characterization and Detection of Software Performance Antipatterns Using a Data-Driven Approach

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Ram Kishan Chalawadi; [2021]
    Nyckelord :Antipatterns; Detection Of Software Performance Antipatterns; Machine learning; K Nearest Neighbours; Tool Automation;

    Sammanfattning : Background: With the increase in automating the performance testing strategies, many efforts have been made to detect the Software Performance Antipatterns (SPAs). These performance antipatterns have become a major threat to software platforms at the enterprise level, and detecting these anomalies is essential in any company dealing with performance-sensitive software as these processes should be performed quite often. LÄS MER

  4. 13. A Comparison of Performance and Noise Resistance of Different Machine Learning Classifiers on Gaussian Clusters

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

    Författare :Oliver Schwalbe Lehtihet; Viktor Åryd; [2021]
    Nyckelord :;

    Sammanfattning : Most real world data contains some amount of noise, i.e. unwanted factors obscuring the underlying signal, making it harder to detect or categorize. This is a problem in machine learning classification. LÄS MER

  5. 14. Modeling and understanding customers preference for product sustainability information using Machine Learning techniques

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Vedasree Reddy Sapatapu; Apoorva Kothapally; [2021]
    Nyckelord :Machine Learning; Data Mining; Sustainability; Customer Preference;

    Sammanfattning : Background. Markets nowadays are increasingly competitive as many companies are focusing themselves on minimising their churn rate and maximising their growth rate of customers. LÄS MER

  7. 15. Classification in Functional Data Analysis : Applications on Motion Data

    Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Viktor Kröger; [2021]
    Nyckelord :Classification; Functional Data Analysis; FDA; motion data; ligament injury;

    Sammanfattning : Anterior cruciate knee ligament injuries are common and well known, especially amongst athletes.These injuries often require surgeries and long rehabilitation programs, and can lead to functionloss and re-injuries (Marshall et al., 1977). LÄS MER