Sökning: "enterprise learning"
Visar resultat 6 - 10 av 83 uppsatser innehållade orden enterprise learning.
6. Entreprenöriell resiliens i små och medelstora företag inför och under en finansiell konjunkturnedgång
Kandidat-uppsats, Högskolan i Skövde/Institutionen för handel och företagandeSammanfattning : I dagens samhälle ser vi att kvantiteten av kriser ökar. Små och medelstora företag är den kategori av företag som drabbas värst och därav har intresset för entreprenöriell resiliens inom forskning ökat. Kunskapen kring entreprenöriell resiliens i små och medelstora företag är fragmenterad och illa definierad. LÄS MER
7. Risks and Risk Mitigation Strategies Related to AI in Medical Imaging : A Qualitative Case Study of Implementing AI in Screening Mammography
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : AI in medical imaging is promising. Breast cancer screening has particularly seen advancements as researchers have demonstrated how commercially available AI algorithms could detect breast cancer at the same level as the best radiologists. LÄS MER
8. Hidden Communities Of Practice : An Exploratory Case Study on the Integration of Immigrant Women in Malmö
Magister-uppsats, Malmö universitet/Institutionen för Urbana Studier (US)Sammanfattning : Integration of immigrants has become a major focus of the EU policy agenda in recent years with Sweden being one of the first EU countries to address the need for immigrant integration. However, in recent times integration outcomes in Sweden have become unfavourable. LÄS MER
9. Machine Learning Algorithms to Predict Cost Account Codes in an ERP System : An Exploratory Case Study
Kandidat-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : This study aimed to investigate how Machine Learning (ML) algorithms can be used to predict the cost account code to be used when handling invoices in an Enterprise Resource Planning (ERP) system commonly found in the Swedish public sector. This implied testing which one of the tested algorithms that performs the best and what criteria that need to be met in order to perform the best. LÄS MER
10. Artificial Neural Networks and Inductive Biases for Multi-Instance Multi-Modal Tabular Data : A Case Study for Default Probability Estimation in Small-to-Medium Enterprise Lending
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The success of artificial neural networks in homogeneous data domains such as images, textual data, and audio and other signals has had considerable impact on Machine Learning and science in general. The domain of heterogeneous tabular data, while arguably much more common, remains much less explored with regards to artificial neural networks and deep learning. LÄS MER