Sökning: "machine testing"

Visar resultat 21 - 25 av 722 uppsatser innehållade orden machine testing.

  1. 21. Credit Card Approval Prediction : A comparative analysis between logistic regressionclassifier, random forest classifier, support vectorclassifier with ensemble bagging classifier.

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Dhanush Janapareddy; Narendra Chowdary Yenduri; [2023]
    Nyckelord :Machine Learning; Logistic Regression; Random Forest; Support Vector Machine; Ensemble Learning Bagging.;

    Sammanfattning : Background. Due to an increasing number of credit card defaulters, companies arenow taking greater precautions when approving credit applications. When a customermeets certain requirements, credit card firms typically use their experience todecide whether to grant them a credit card. LÄS MER

  3. 22. Development and testing of in-house automatized spatial omics data analysis tool : NIPMAP (Niche-Phenotype Mapping)

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Raziyeh Mohseni; [2023]
    Nyckelord :;

    Sammanfattning : The functional and anatomical characteristics of cancer cells vary among patients. Additionally, therapeutic approaches display varying responses in different individuals and cancer types due to the anatomical and functional complexity of tumor. LÄS MER

  4. 23. Optimization of the Cloud-Native Infrastructure using Artificial Intelligence

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

    Författare :Animesh Singh; [2023]
    Nyckelord :Artificial Intelligence; Test Channel Build; Test Channel Scheduling; Artificiell intelligens; Byggning av testkanal; Schemaläggning av testkanal;

    Sammanfattning : To test Cloud RAN applications, such as the virtual distributed unit (vDU) and centralized virtual unit (vCU), a test environment is required, commonly known as a “test bed” or “test channel”. This test bed comprises various cloudnative infrastructures, including different hardware and software components. LÄS MER

  5. 24. Usage of End-to-End Machine Learning for Self-Driving Vehicle

    M1-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Pratchaya Khansomboon; [2023]
    Nyckelord :;

    Sammanfattning : This thesis is about the usage of a machine learning model for self-driving vehicles running on a small mobile computing unit, in this case, a smartphone. We use NVIDIA’s PilotNet model which is a simple feed-forward machine learning model for steering a vehicle. LÄS MER

  7. 25. CryptoCurrency Time Series analysis : Comparative analysis between LSTM and BART Algorithm

    Uppsats för yrkesexamina på grundnivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Lakshmi Vyshnavi Nerella; Chiranjeevi Ponnada; [2023]
    Nyckelord :;

    Sammanfattning : Background: Cryptocurrency is an innovative digital or virtual form of money thatuses cryptographic techniques for secured financial transactions within a decentralized structure. Due to its high volatility and susceptibility to external factors, itis difficult to understand its behavior which makes accurate predictions challengingfor the investors who are trying to forecast price changes and make profitable investments. LÄS MER