Sökning: "Qualitative metrics"

Visar resultat 11 - 15 av 168 uppsatser innehållade orden Qualitative metrics.

1. 11. How Venture Capital Could Use Large Language Models to Screen Sustainability Impact Startups

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Miljö- och energisystem

   Författare :Måns Vilhelm Tivenius; Karl-Gustav Elf; [2023]
   Nyckelord :Large Language Models; Venture Capital; Impact Investing; Prompt Engineering; GPT-4; ChatGPT; Impact; Sustainability; Artificial Intelligence; Startup success; Impact startup; Impact measurement; Screening; AI for good; Technology and Engineering;

   Sammanfattning : This study investigates the potential of large language models (LLMs), such as ChatGPT, to aid venture capitalists in the screening of startups that maximize sustainability impact. To determine the scope that maximizes impact for venture capitalists' and to identify effective screening criteria, the study utilized theoretical research and interviews. LÄS MER

3. 12. Unsupervised Clustering of Behavior Data From a Parking Application : A Heuristic and Deep Learning Approach

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Edvard Magnell; Joakim Nordling; [2023]
   Nyckelord :ML; Machine learning; clustering; unsupervised learning; deep learning; autoencoder; AI; artificial intelligence;

   Sammanfattning : This report aims to present a project in the field of unsupervised clustering on human behavior in a parking application. With increasing opportunities to collect and store data, the demands to utilize the data in meaningful ways also increase. LÄS MER

4. 13. Purchasing and digitalization in an era of turbulence

   Master-uppsats, Lunds universitet/Teknisk logistik

   Författare :Vishal Natesan; Emil Sarajlic; [2023]
   Nyckelord :Supplying; digitisation; digitalization; Artificial Intelligence; Turbulence; Delivery performance; Duni Group; Technology and Engineering;

   Sammanfattning : Abstract Title: Purchasing and digitalization in an era of turbulence Authors: Emil Sarajlic & Vishal Natesan Supervisor: Wilbert Baerwaldt, Director Sourcing and Value Chain at Duni AB Louise Bildsten, Department of Industrial Management & Logistics, Faculty of Engineering, Lund University Examiner: Jan Olhager, Department of Industrial Management & Logistics, Faculty of Engineering, Lund University Background: This research delves into the uncertainties and challenges encountered in global supply chain operations, exacerbated by unpredictable events such as the COVID-19 pandemic and the 2021 Suez Canal obstruction. These disruptions can lead to stock-outs, poor capacity utilization, and the need for expensive buffers. LÄS MER

5. 14. Evaluating Process Mining Techniques on PACS Command Usage Data : Exploring common process mining techniques and evaluating their applicability on PACS event log data for domain-specific workflow analysis

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Axel Ekblom; Jacob Karlén; [2023]
   Nyckelord :process mining; workflow mining; data mining; radiology; PACS;

   Sammanfattning : Many software companies today collect command usage data by monitoring and logging user interactions within their applications. This is not always utilised to its full potential, but with the use of state-of-the-art process mining techniques, this command usage log data can be used to gain insights about the users' workflows. LÄS MER

7. 15. The Influence of Artificial Intelligence on Songwriting : Navigating Attribution Challenges and Copyright Protection

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Karin Norberg; Othilia Norell; [2023]
   Nyckelord :Artificial Intelligence; Attribution; Copyright; Machine Learning; Music; Natural Language Processing; Royalties; Songwriting;

   Sammanfattning : This report explores the evolving landscape of songwriting and copyright protection, with a focus on the influence of Artificial Intelligence (AI). It highlights the need for objective measures of attribution in music co-creation, including collaborations involving AI. LÄS MER