Sökning: "Obalanserat Data"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden Obalanserat Data.

  1. 1. Clean to be Lean : Implementering av Lean Managment hos kurir- och fraktbolag

    M1-uppsats, Högskolan i Borås/Akademin för textil, teknik och ekonomi

    Författare :Dylan Alejandro Valdez Orbegoso; Fadi Alrais; [2023]
    Nyckelord :Lean managment; logistik;

    Sammanfattning : Detta examensarbete fokuserar på fraktterminalen som tillhör kurir- och fraktbolaget FedEx Corporation. Fraktterminalen är placerad i Landvetter, Sverige. Det finns ett antal brister och problem i terminalen och några av dessa handlar om hur pakethanteringsprocessen är strukturerad och hur berörda arbetsaktiviteter utförs. LÄS MER

  3. 2. Automatic event detection oncontinuous glucose datausing neural networks

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :David Borghäll; [2023]
    Nyckelord :Automatic Event Detection; Continuous Glucose Monitor; Deep Learning; Diabetes Mellitus; Automatisk Eventdetektion; Kontinuerlig Glukosmätare; Djupinlärning; Diabetes;

    Sammanfattning : Automatically detecting events for people with diabetes mellitus using continuousglucose monitors is an important step in allowing insulin pumps to automaticallycorrect the blood glucose levels and for a more hands-off approach to thedisease. The automatic detection of events could also aid physicians whenassisting their patients when referring to their continuous glucose monitordata. LÄS MER

  4. 3. Multi-Class Classification for Predicting Customer Satisfaction : Application of machine learning methods to predict customer satisfaction at IKEA

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

    Författare :Stina Backerholm; Malin Börjesjö; [2023]
    Nyckelord :Multi-Class Classification; Imbalanced Data; Machine Learning; Multi-Klass Klassifisering; Obalanserat Data; Maskininlärning;

    Sammanfattning : Gaining a comprehensive understanding of the features that contribute to customer satisfaction after contact with IKEA’s Remote Customer Meeting Points (RCMPs) is essential for implementing effective remedial measures in the future. The aim of this project is to investigate if it is possible to find key features that influence customer satisfaction and to use these to predict customer satisfaction. LÄS MER

  5. 4. Machine Learning for Improving Detection of Cooling Complications : A case study

    Master-uppsats, KTH/Industriell produktion

    Författare :William Bruksås Nybjörk; [2022]
    Nyckelord :Temperature controllable containers; Machine Learning; imbalanced data; data analysis; noisy labels; feature engineering; threshold tuning;

    Sammanfattning : The growing market for cold chain pharmaceuticals requires reliable and flexible logistics solutions that ensure the quality of the drugs. These pharmaceuticals must maintain cool to retain the function and effect. Therefore, it is of greatest concern to keep these drugs within the specified temperature interval. LÄS MER

  7. 5. Machine Learning for Classification of Temperature Controlled Containers Using Heavily Imbalanced Data

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

    Författare :Adam Ranjith; [2022]
    Nyckelord :Machine learning; Handling imbalanced data; Temperature controllable containers; Ensemble methods; Random forest.; Maskininlärning; Hantera obalanserad data; Temperatur reglerbara containrar; Meta-algoritmer; Random forest.;

    Sammanfattning : Temperature controllable containers are used frequently in order to transport pharmaceutical cargo all around the world. One of the leading manufacturing companies of these containers has a method for detecting containers with a faulty cooling system before making a shipment. LÄS MER