Sökning: "SVC"

Visar resultat 1 - 5 av 29 uppsatser innehållade ordet SVC.

  1. 1. Från risk till möjlighet? : En utforskande studie om värdeskapande i en ESG Due Diligence-process

    Kandidat-uppsats, Uppsala universitet/Företagsekonomiska institutionen

    Författare :Filip Einerth; Stella Helms; [2024]
    Nyckelord :Due diligence; ESG; Creating Shared Value; Value-creation; Stakeholders; SVC; Due diligence; ESG; Gemensamt värde; Värdeskapande; Intressenter; SVC;

    Sammanfattning : Denna uppsats undersöker värdet av att inkludera hållbarhet och ESG i en due diligence-process inom kontexten för internationella företagsförvärv. Ett konsultperspektiv tillämpades på grund av externa rådgivares vidsträcka erfarenhet och insyn i denna relativt nya process. LÄS MER

  3. 2. Predicting Risk Level in Life Insurance Application : Comparing Accuracy of Logistic Regression, DecisionTree, Random Forest and Linear Support VectorClassifiers

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Pulagam Karthik Reddy; Sutapalli Veerababu; [2023]
    Nyckelord :Decision Tree Classifier; Logistic Regression; Machine Learning; Random Forest Classifier; Linear Support Vector Classifier;

    Sammanfattning : Background: Over the last decade, there has been a significant rise in the life insurance industry. Every life insurance application is associated with some level ofrisk, which determines the premium they charge. The process of evaluating this levelof risk for a life insurance application is time-consuming. LÄS MER

  4. 3. Predicting Customer Churn and Customer Lifetime Value (CLV) using Machine Learning

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Magnus Gerde; [2023]
    Nyckelord :Churn; CLV; SVM; Logistic Regression; Linear Regression; Random Forest Model; Mathematics and Statistics;

    Sammanfattning : In an evermore competitive environment for companies and business, predictive customer behaviour models can give companies a competitive edge over its competitors. Two such important predictive behaviour models are customer churn models and customer lifetime value (CLV) models. LÄS MER

  5. 4. Deep Learning-Based Approach for Fusing Satellite Imagery and Historical Data for Advanced Traffic Accident Severity

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Gowtham Kumar Sandaka; Praveen Kumar Madhamsetty; [2023]
    Nyckelord :Traffic accidents; Satellite imagery; Logistic Regression; Random Forest; SVC; VGG19; hybrid model; CNN; self-driving cars; best-performing algorithm; literature review;

    Sammanfattning : Background. This research centers on tackling the serious global problem of trafficaccidents. With more than a million deaths each year and numerous injuries, it’svital to predict and prevent these accidents. LÄS MER

  7. 5. Classification of hyperkinesia in Parkinson patients using mobile sensors

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Gustaf von Grothusen; [2022]
    Nyckelord :Dyskinesia; hyperkinesia; Parkinson s disease; support vector machine; SVM; SVR; SVC; feature engineering; digital phenotyping; CDRS; smartphone; accelerometer; Mathematics and Statistics;

    Sammanfattning : In this thesis, we explore the possibility to monitoring hyperkinesia in people who suffer from Parkinson's disease (PD) using sensors in mobile phones. This is done by first collecting data from 25 patients diagnosed with PD by using a sensor-recording smartphone in a bag attached to the stomach, and at the same time let trained professionals make assessments of the degree of which they show signs of hyperkinesia, on the clinical dyskinesia rating scale, CDRS. LÄS MER