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Visar resultat 1 - 5 av 151 uppsatser som matchar ovanstående sökkriterier.
1. An Exploratory Analysis of Illiquid Assets: A Case Study On Dicopay Company
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : In Business life, whether companies are selling goods or services, one thing is certain: cash is king. The success of a Small-to-Medium-Enterprise depends on the money at hand, and a series of aspects can positively or negatively influence the availability of cash. LÄS MER
2. Cyber Threat Detection using Machine Learning on Graphs : Continuous-Time Temporal Graph Learning on Provenance Graphs
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Cyber attacks are ubiquitous and increasingly prevalent in industry, society, and governmental departments. They affect the economy, politics, and individuals. LÄS MER
3. Unlocking the Fashion Metaverse : Exploring the Impact of External Factors on Innovation Diffusion in the Metaverse Fashion Industry
Master-uppsats, Jönköping University/Internationella HandelshögskolanSammanfattning : Background: The fashion retail industry has undergone a major transformation due to the Covid-19 pandemic and the rise of technical innovations. This transformation led to the emergence of digital fashion, a new concept integrating experimental technologies, including artificial intelligence, and augmented reality, which further has progressed towards the Metaverse. LÄS MER
4. Developing a closed-loop supply chain to eliminate Single Use Plastic products : Implementing Circular Economy practices driven by EU commission directives
Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Single use plastic products (SUPs) are a primary cause of plastic pollution causing significant environmental harm. These products have little to no value after use and are challenging to recycle cost efficiently. LÄS MER
5. 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