Essays about: "Supervised learning by classification"

Showing result 21 - 25 of 170 essays containing the words Supervised learning by classification.

  1. 21. Automatic Detection of Common Signal Quality Issues in MRI Data using Deep Neural Networks

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Erika Ax; Elin Djerf; [2023]
    Keywords : mr; magnetic resonance; machine learning; deep learning; anomaly detection; U-Net; autoencoder; 3D; classification; reconstruction; artefacts;

    Abstract : Magnetic resonance imaging (MRI) is a commonly used non-invasive imaging technique that provides high resolution images of soft tissue. One problem with MRI is that it is sensitive to signal quality issues. The issues can arise for various reasons, for example by metal located either inside or outside of the body. READ MORE

  3. 22. Reusage classification of damaged Paper Cores using Supervised Machine Learning

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Max Elofsson; Victor Larsson; [2023]
    Keywords : Machine Learning; Supervised Learning; classification; 3D sensor; TriSpector1008; SICK; paper core; paper mill; KNN; Support Vector Machine; Decision Trees; Random Forest; Maskininlärning; klassificering; papperskärna; pappersbruk;

    Abstract : This paper consists of a project exploring the possibility to assess paper code reusability by measuring chuck damages utilizing a 3D sensor and usingMachine Learning to classify reusage. The paper cores are part of a rolling/unrolling system at a paper mill whereas a chuck is used to slow and eventually stop the revolving paper core, which creates damages that at a certain point is too grave for reuse. READ MORE

  4. 23. Time Series Analysis and Binary Classification in a Car-Sharing Service : Application of data-driven methods for analysing trends, seasonality, residuals and prediction of user demand

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Aksel Uhr; [2023]
    Keywords : Smart mobility; Car-sharing; Time series analysis; Demand prediction; Machine learning; Supervised learning; Binary classification; Random forest; Smart mobilitet; Bildelning; Tidsseriaanalys; Efterfrågansprediktering; Maskininlärning; Väglett lärande; Binär klassificering; Slumpmässiga skogar;

    Abstract : Researchers have estimated a 20-percentage point increase in the world’s population residing in urban areas between 2011 and 2050. The increase in denser cities results in opportunities and challenges. Two of the challenges concern sustainability and mobility. READ MORE

  5. 24. Machine Learning Algorithms to Predict Cost Account Codes in an ERP System : An Exploratory Case Study

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Alexander Wirdemo; [2023]
    Keywords : Artificial Intelligence; Machine Learning; ERP; invoice automation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor; Artificiell Intelligens; maskinlärning; ERP; fakturaautomation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor;

    Abstract : This study aimed to investigate how Machine Learning (ML) algorithms can be used to predict the cost account code to be used when handling invoices in an Enterprise Resource Planning (ERP) system commonly found in the Swedish public sector. This implied testing which one of the tested algorithms that performs the best and what criteria that need to be met in order to perform the best. READ MORE

  6. 25. Automatic evaluation of the effectiveness ofcommunication between software developers -NLP/AI

    University essay from Mittuniversitetet/Institutionen för kommunikation, kvalitetsteknik och informationssystem (2023-)

    Author : Marcus Haapasaari Lindgren; Jon Persson; [2023]
    Keywords : Machine Learning; Natural Language Processing; Conversation; Supervised Learning;

    Abstract : Communication is one of the most demanding andimportant parts of effective software development.Furthermore, the effectiveness of software developmentcommunication can be measured with the three collaborativeinterpersonal problem-solving conversation dimensions:Active Discussion, Creative Conflict, and ConversationManagement. READ MORE