Sökning: "Learning factors"
Visar resultat 1 - 5 av 2113 uppsatser innehållade orden Learning factors.
1. 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
2. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. LÄS MER
3. Faktorer som påverkar lärares beslut om användning av läxor inom matematikundervisningen
Uppsats för yrkesexamina på grundnivå, Malmö universitet/Malmö universitetsbibliotekSammanfattning : Homework in mathematics is a well-debated subject and can affect young children’s everyday life. This paper aims to investigate teachers' decisions regarding mathematics homework using the question “Which factors influence teachers in using homework in mathematics?” through an analysis of the existing research. LÄS MER
4. Mortgage Information and Consumer Understanding : A Study of Swedish Banks
Kandidat-uppsats, Karlstads universitet/Handelshögskolan (from 2013)Sammanfattning : The purpose of this essay was to examine and see how communication betweenbank and customer in the Swedish mortgage market is processed. Several theoriesthat have been used in this study highlight how consumers think when they makefinancial decisions. LÄS MER
5. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER