Sökning: "Logistic Regression Analysis"

Visar resultat 31 - 35 av 524 uppsatser innehållade orden Logistic Regression Analysis.

  1. 31. Auto-scaling Prediction using MachineLearning Algorithms : Analysing Performance and Feature Correlation

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Syed Saif Ahmed; Harshini Devi Arepalli; [2023]
    Nyckelord :Cloud Computing; Predictive Auto-Scaling; Machine Learning; Data Correlation;

    Sammanfattning : Despite Covid-19’s drawbacks, it has recently contributed to highlighting the significance of cloud computing. The great majority of enterprises and organisations have shifted to a hybrid mode that enables users or workers to access their work environment from any location. LÄS MER

  3. 32. Risk Stratification of Endometriosis through Machine Learning using Lifestyle Data : An Extensive Analysis on Lifestyle Data to Reveal Patterns in People with Endometriosis

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

    Författare :Patrick Carrera Jeri; [2023]
    Nyckelord :Lifestyle fators; Machine learning; Risk stratification; Endometriosis; Livsstilsfaktorer; Maskininlärning; Riskstratifiering; Endometrios;

    Sammanfattning : Endometriosis affect 11% of women of reproductive years worldwide. The project made use of lifestyle factors coming from the Lucy application. LÄS MER

  4. 33. The Adoption of New and Used Electric Vehicles : The difference in the impact of financial factors for new vs. used electric vehicles

    Magister-uppsats, Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Författare :Pierre Johansson; China Venkatareddy Satti; [2023]
    Nyckelord :New Electric Vehicles; Used Electric Vehicles; Financial Factors;

    Sammanfattning : The growth of the market for electric vehicles (EVs) is increasing each year with record numbers of newly registered electric vehicles in 2022. Electric vehicles are considered the key component of a sustainable transportation sector. The knowledge of influential factors on purchase decisions for new EVs is high. LÄS MER

  5. 34. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)

    Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Mahtab Davari; [2023]
    Nyckelord :Knowledge graph; Positive Energy Districts PEDs ; longest path; Questions and Answers; Community Detection; Node Embedding; t-SNE plots; Edge Prediction;

    Sammanfattning : In recent years, knowledge graphs(KGs) have become essential tools for visualizing concepts and retrieving contextual information. However, constructing KGs for new and specialized domains like Positive Energy Districts (PEDs) presents unique challenges, particularly when dealing with unstructured texts and ambiguous concepts from academic articles. LÄS MER

  7. 35. Vibroacoustic Analysis of an OLTC Diverter Switch for Condition Monitoring : Time frequency analysis with Fourier and wavelet transform in combination with multivariate logistic regression for condition monitoring of OLTC diverter switch

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Simon Persson; [2023]
    Nyckelord :Wavelet transform; CWT; logistic regression; machine learning; ML; vibroacoustic analysis; time frequency analysis; tap changer; diverter switch; power transformer; classification; prediction; condition; vibrations; state prediction; Hitachi Energy;

    Sammanfattning : Vibrations are everywhere around us all the time and we often recognise them as sounds that we can hear and analyse with our brain. In this thesis, data that has been gathered from a diverter switch (DS) in a controlled environment, is analysed. LÄS MER