Sökning: "Customer models"
Visar resultat 1 - 5 av 921 uppsatser innehållade orden Customer models.
1. Alternative business models for Swedish real estate developers Analysis of alternative business models applied by real estate developers in Sweden to manage macroeconomic challenges
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : The current macroeconomic climate, with rising inflation and interest rate, is posing a significant challenge for real estate development firms in Sweden. The cost of developing properties is increasing and it is becoming increasingly difficult for many potential buyers to meet the high requirements for down payments associated with the traditional model of home ownership. LÄS MER
2. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes
Master-uppsats, Institutionen för tillämpad informationsteknologiSammanfattning : In the current automotive industry, problem identification is a reactive process. It starts when the customer experiences a vehicle problem and goes to the workshop. Subsequently, all the problem-related data will be collected from the workshop and forwarded to the vehicle manufacturer. LÄS MER
3. Predicting Navigational Patterns in Web Applications using Machine Learning Techniques
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : In large corporations, customer support is a costly service, and an area of constant optimization. Solutions to increase efficiency and decrease bottlenecks are constantly needed. LÄS MER
4. Designprocessen och maskininlärning: Framtiden för användarcentrerad design
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Artificiell intelligens (AI) och i synnerhet maskininlärning (ML) har inom UX-design visat potential att förbättra designprocessen genom att exempelvis identifiera användargrupper från stora datamängder, effektivisera idégenerering och automatisera repetitiva uppgifter. Det råder dock oenighet kring hur tekniken kan integreras i designprocessen. LÄS MER
5. CNN-LSTM architecture for predicting hazardous driving situations
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : This study aims to investigate how a CNN-LSTM model can be used together with recorded vehicle data from trucks and external weather data in order to predict a hazardous driving situation. The dataset consists of three-second-long driving snippets from customer and development trucks registered within Europe. LÄS MER