Sökning: "Support Vector Machines"

Visar resultat 31 - 35 av 238 uppsatser innehållade orden Support Vector Machines.

  1. 31. 6G RF Waveform with AI for Human Presence Detection in Indoor Environments

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

    Författare :Eirini Stratigi; [2022]
    Nyckelord :CNN; SVM; DBScan; MIMO; Bandwidth; frequencies; human presence detection; CNN; SVM; DBScan; MIMO; Bandbredd; frekvenser; mänsklig närvaro detektering;

    Sammanfattning : Wireless communication equipment is widely available and the number of transmitters and receivers keeps increasing. In addition to communications, wireless nodes can be used for sensing. LÄS MER

  3. 32. Credit Scoring using Machine Learning Approaches

    Master-uppsats, Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

    Författare :Bornvalue Chitambira; [2022]
    Nyckelord :Credit Scoring; Logistic Regression; Decision Trees; Artificial Neural Networks; Random forests; Support Vector Machine; k-nearest neighbour; cross validation; imbalanced dataset;

    Sammanfattning : This project will explore machine learning approaches that are used in creditscoring. In this study we consider consumer credit scoring instead of corporatecredit scoring and our focus is on methods that are currently used in practiceby banks such as logistic regression and decision trees and also compare theirperformance against machine learning approaches such as support vector machines (SVM), neural networks and random forests. LÄS MER

  4. 33. Predicting basketball performance based on draft pick : A classification analysis 

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Fredrik Harmén; [2022]
    Nyckelord :machine learning; linear discriminant analysis; k-nearest neighbors; support vector machines; random forests;

    Sammanfattning : In this thesis, we will look to predict the performance of a basketball player coming into the NBA depending on where the player was picked in the NBA draft. This will be done by testing different machine learning models on data from the previous 35 NBA drafts and then comparing the models in order to see which model had the highest accuracy of classification. LÄS MER

  5. 34. Assessing Machine Learning Algorithms to Develop Station-based Forecasting Models for Public Transport : Case Study of Bus Network in Stockholm

    Master-uppsats, KTH/Transportplanering

    Författare :Mahsa Movaghar; [2022]
    Nyckelord :Public transport; ridership; machine learning; Multiple Linear Regression; Decision Tree; Random Forest; Bayesian Ridge Regression; Neural Networks; Support Vector Machines; K-Nearest Neighbors;

    Sammanfattning : Public transport is essential for both residents and city planners because of its environmentally and economically beneficial characteristics. During the past decade climatechange, coupled with fuel and energy crises have attracted significant attention toward public transportation. LÄS MER

  7. 35. Prediction of battery lifetime using early cycle data : A data driven approach

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Isabelle Enholm; Olivia Valfridsson; [2022]
    Nyckelord :early prediction; Support Vector Regression; Elastic Net; battery lifetime; cycle life; battery degradation;

    Sammanfattning : A form of laboratory tests are performed to determine battery degradation due to charging and discharging of batteries (cycling). This is done as part of quality assurance in battery production since a certain amount of degradation corresponds to the end of the battery lifetime. Currently, this requires a significant amount of cycling. LÄS MER