Sökning: "Process Improvements"
Visar resultat 1 - 5 av 2028 uppsatser innehållade orden Process Improvements.
1. A space-time shape for easier spatiotemporal visualization in traffic networks
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : Modern big data systems are enabling new possibilities that never were thought possible in the past. The ability to gather massive data on an individual level has made fields like space-time geography bloom in the latest decennia. The usage of shapes in a 3D space allows us to visualize certain phenomena over time. LÄS MER
2. ”Är det detta du menar? – Nej, det är det verkligen inte!” En analys av konsumenters missnöje vid möten med chatbots i kundtjänst
Kandidat-uppsats, Lunds universitet/Företagsekonomiska institutionenSammanfattning : Chatbots are increasingly being adapted as substitutes to humans in customer service. As the level of adoption increases, it becomes more important to understand the phenomenon of robots replacing humans – a new chapter in the rising digital world. LÄS MER
3. Potential and Limitations of the Sketch Map Tool in the International Red Cross Red Crescent Movement
Master-uppsats, Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : In disaster risk management, participatory mapping (PM) closes spatial data gaps in communities by integrating local risk knowledge. The thesis examined the potential and limitations of the Sketch Map Tool (SMT) as a PM tool for community-based disaster risk reduction (DRR) through an International Red Cross Red Crescent Movement case study. LÄS MER
4. Designers Krav på Midjourney : En Studie om Integrationen av Bildgenererande AI i Grafiska Formgivares Arbetsprocess
Kandidat-uppsats, Uppsala universitet/InformationssystemSammanfattning : Text-to-image generation is one of the most significant technological advancements in artificial intelligence (AI) during recent years, with the software Midjourney being amongst the most popular tools for this purpose. There is however some uncertainty about how tools like Midjourney will impact and integrate with creative professions, such as graphic design. LÄS MER
5. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
Kandidat-uppsats, Lunds universitet/Fysiska institutionenSammanfattning : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. LÄS MER