Essays about: "thesis data classification"

Showing result 6 - 10 of 1015 essays containing the words thesis data classification.

  1. 6. Potential and Limitations of the Sketch Map Tool in the International Red Cross Red Crescent Movement

    University essay from Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Author : Kimon Letzner; [2024]
    Keywords : Disaster risk reduction; Participatory action research; Community risk mapping; International Red Cross Red Crescent Movement; Colombia; Technology and Engineering;

    Abstract : 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. READ MORE

  2. 7. Decision Trees for Classification of Repeated Measurements

    University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

    Author : Julianna Holmberg; [2024]
    Keywords : Repeated Measurement Data; Growth Curve Model; Linear Discriminant Analysis; Decision Tree; Bootstrap Aggregating; CART; CART-LC;

    Abstract : Classification of data from repeated measurements is useful in various disciplines, for example that of medicine. This thesis explores how classification trees (CART) can be used for classifying repeated measures data. READ MORE

  3. 8. AI-based image generation: The impact of fine-tuning on fake image detection

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Nick Hagström; Anders Rydberg; [2024]
    Keywords : Fake image detection; LoRA; DreamBooth; Stable Diffusion; Image generation;

    Abstract : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. READ MORE

  4. 9. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models

    University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Author : Sofia Leksell; [2024]
    Keywords : Federated Learning; Adversarial Attacks; Regression; Classification;

    Abstract : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving  a noticeable gap in FL research specifically for regression models. READ MORE

  5. 10. Bridging Language & Data : Optimizing Text-to-SQL Generation in Large Language Models

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Niklas Wretblad; Fredrik Gordh Riseby; [2024]
    Keywords : 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;

    Abstract : 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. READ MORE