Sökning: "Niklas From"

Visar resultat 1 - 5 av 929 uppsatser innehållade orden Niklas From.

  1. 1. Design of a case erecting and product placement station

    Master-uppsats, Lunds universitet/Innovation

    Författare :Niklas Wiest; [2024]
    Nyckelord :Keywords: case erecting; cobots; automation; end-effector; spiral product development process; quick-build product; Technology and Engineering;

    Sammanfattning : This report presents an innovative approach to industrial automation, focusing on the development of an automated system for erecting and filling cardboard boxes with wax jars. The project, executed in collaboration with Odigo Consulting and Scandinavian Hair Company (SHC), aimed to showcase enhanced production efficiency for small and medium-sized enterprises through the implementation of collaborative robots and pneumatic systems. LÄS MER

  3. 2. Blågröna lösningar i en grå stadsdel

    Kandidat-uppsats, SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)

    Författare :Matilda Hiller; Niklas Jönsson; [2024]
    Nyckelord :Blågrön infrastruktur; dagvattenhantering; regnbäddar; biofilter; svackdiken; permeabel markbeläggning; öppet förstärkningslager; växtval; Gåsebäck; Helsingborg;

    Sammanfattning : Vatten är livsviktigt för allt liv på jorden, men vad händer när vattnet istället för resurs blir en belastning? Stora andelar hårdgjorda ytor i kombination med skyfall kan skapa problem i städer. I miljöer med mycket asfalt eller betong, förändras vattnets naturliga kretslopp. LÄS MER

  4. 3. Bridging Language & Data : Optimizing Text-to-SQL Generation in Large Language Models

    Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Författare :Niklas Wretblad; Fredrik Gordh Riseby; [2024]
    Nyckelord :Chaining; Classification; Data Quality; Few-Shot Learning; Large Language Model; Machine Learning; Noise; Prompt; Prompt Engineering; SQL; Structured Query Language; Text-to-SQL; Zero-Shot Learning; Noise Identification;

    Sammanfattning : This thesis explores text-to-SQL generation using Large Language Models within a financial context, aiming to assess the efficacy of current benchmarks and techniques. The central investigation revolves around the accuracy of the BIRD-Bench benchmark and the applicability of text-to-SQL models in real-world scenarios. LÄS MER

  5. 4. Data Augmentation: Enhancing Named Entity Recognition Performance on Swedish Medical Texts

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Lucas Rosvall; Niklas Paasonen; [2023-10-05]
    Nyckelord :Machine Learning; Information Extraction; Named Entity Recognition; BERT; Data Augmentation;

    Sammanfattning : Named Entity Recognition (NER) refers to the task of locating relevant information within text sequences. Within the medical domain, it can benefit applications such as de-identifying patient records or extracting valuable data for other downstream tasks. LÄS MER

  7. 5. Exploring the Efficacy of ChatGPT in Generating Requirements: An Experimental Study

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Leila Bencheikh; Niklas Höglund; [2023-08-03]
    Nyckelord :ChatGPT; AI-detector accuracy; requirements; experimental study;

    Sammanfattning : This thesis explores the efficacy of ChatGPT in generating software requirements and compares its performance to human participants through an experimental study. The study addresses three main research questions (RQs), examining how ChatGPT-generated requirements align with human-written requirements, the variation in quality between different versions of ChatGPT using two additional sub-questions that look at improvement in quality from feedback and consistency of quality when the same prompt is queried multiple times, and the capacity of the Content at Scale AI detector in identifying AI-generated requirements. LÄS MER