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Visar resultat 1 - 5 av 1460 uppsatser som matchar ovanstående sökkriterier.

  1. 1. ChatGPT som ”teolog” En undersökning i teologisk representation hos AI-boten ChatGPT-3.5

    Magister-uppsats, Göteborgs universitet/Institutionen för litteratur, idéhistoria och religion

    Författare :Emil Svensson; [2024-02-20]
    Nyckelord :AI; Artificiell intelligens; ChatGPT; Teologisk representation; Teologi;

    Sammanfattning : The aim of this study is to evaluate theological representation by the AI-chatbot, ChatGPT-3.5. The investigation highlights the representation of four Christian theological traditions: Catholicism, Eastern Orthodoxy, Lutheranism and Calvinism. LÄS MER

  3. 2. Integrating Local Knowledge into the Spatial Analysis of Wind Power: The case study of Northern Tzoumerka, Greece

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Athanasios Senteles; [2024]
    Nyckelord :Geography; Geographical Information Systems; MCDA; wind energy; local knowledge; Greece; Earth and Environmental Sciences;

    Sammanfattning : Increasing demand for incorporating renewable energy projects into the national energy mix, is associated with international and European efforts to tackle the negative effects of climate change and strengthen energy resilience. Greece, as a member country of the European Union, has acknowledged that necessity, by implementing a national program aiming to significantly reduce Green House Gas Emissions and upscale Renewable Energy Sources (RES) project development in upcoming years. LÄS MER

  4. 3. Robustness Analysis of Perfusion Parameter Calculations

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

    Författare :Alicia Palmér; [2024]
    Nyckelord :Perfusion; Medical image analysis; Dynamic Contrast Enhanced Magnetic Resonance Imaging; Tofts model; Functional imaging; Optimization; T1 map; Perfusion; Medicinsk bildanalys; Dynamisk kontrastförstärkt magnetisk resonanstomografibildtagning; Tofts-modell; Funktionell bildbehandling; Optimering; T1 karta;

    Sammanfattning : Cancer is one of the most common causes of death worldwide. When given optimal treatment, however, the risk of severe illness may greatly be reduced. Determining optimal treatment in turn requires evaluation of disease progression and response to potential, previous treatment. LÄS MER

  5. 4. User-Centered Design in Digital Twins : Insights Based on Industrial Designers’ Activities

    Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Velina Parapanova; [2024]
    Nyckelord :digital twin; user-centered design; activity theory; industrial design; scenarios;

    Sammanfattning : Digital twin is an emerging technology that enhances digital transformation across many industries and domains. Most digital twins are made for a work context, and end users are the domain experts who carry knowledge in the work processes and products of which digital twin is part. LÄS MER

  7. 5. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Alexander Florean; [2024]
    Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER