Sökning: "Data-driven engineering"
Visar resultat 1 - 5 av 74 uppsatser innehållade orden Data-driven engineering.
1. Aspects to consider when introducing IoMT-solutions into the healthcare system in Sweden
Master-uppsats, Lunds universitet/ProduktionsekonomiSammanfattning : The healthcare system in Sweden is currently facing major challenges, particularly with regards to rising healthcare costs, an aging population, and an increase in chronic diseases. To overcome these challenges, the healthcare system requires innovative solutions that can provide cost-effective care while maintaining quality standards. LÄS MER
2. How AI Drives Innovation Capabilities within an Enterprise : A study of the Chinese innovative companies
Magister-uppsats, Jönköping University/Internationella HandelshögskolanSammanfattning : Background: AI innovation, an emerging concept, refers to innovation capabilities that incorporate AI technologies. In recent years, generative AI has garnered significant attention, emphasizing the need for a deeper understanding of its role in innovation. LÄS MER
3. Data-Driven Requirements Engineering in Agile Software Development - An Approach for Eliciting Requirements from Digital Sources in Organizations using Scrum Methodology
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Nowadays, the business world is characterized by complexity since market and customer requirements are changing rapidly. Based on this assumption, providers are facing the challenge of delivering software products in shorter terms while these products remain innovative. LÄS MER
4. Ray-tracing Based Investigations on the Deployment of RISs in Indoor Scenarios
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Reconfigurable intelligence surface (RIS) is a promising candidate technology for future 6G wireless communication systems. In existing communication systems, the network operators are unable to control the propagation environment, which causes significant limitations on communication performance. LÄS MER
5. Data-Driven Success in Infrastructure Megaprojects. : Leveraging Machine Learning and Expert Insights for Enhanced Prediction and Efficiency
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This Master's thesis utilizes random forest and leave-one-out cross-validation to predict the success of megaprojects involving infrastructure. The goal was to enhance the efficiency of the design and engineering phase of the infrastructure and construction industries. LÄS MER