Essays about: "models of quality"

Showing result 1 - 5 of 1352 essays containing the words models of quality.

  1. 1. Variational AutoEncoders and Differential Privacy : balancing data synthesis and privacy constraints

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Baptiste Bremond; [2024]
    Keywords : TVAE; Differential privacy; Tabular data; Synthetic data; DP-SGD; TVAE; differentiell integritet; tabelldata; syntetiska data; DP-SGD;

    Abstract : This thesis investigates the effectiveness of Tabular Variational Auto Encoders (TVAEs) in generating high-quality synthetic tabular data and assesses their compliance with differential privacy principles. The study shows that while TVAEs are better than VAEs at generating synthetic data that faithfully reproduces the distribution of real data as measured by the Synthetic Data Vault (SDV) metrics, the latter does not guarantee that the synthetic data is up to the task in practical industrial applications. READ MORE

  2. 2. Data analytics and machine learning for railway track degradation: Using Bothnia Line track measurements for maintenance forecasting

    University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesign

    Author : Elie Roudiere; [2024]
    Keywords : Railway; Track geometry; Machine learning; Statistics; Predictive maintenance; Botniabanan; Järnväg; spårgeometri; maskininlärning; statistik; förebyggande underhåll; Botniabanan;

    Abstract : In this paper, a statistical method is developed to improve predictive maintenance on railway track. The problem tackled is being able to predict when the next maintenance event should take place to guarantee a certain track quality class. READ MORE

  3. 3. An In-Depth study on the Utilization of Large Language Models for Test Case Generation

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Nicole Johnsson; [2024]
    Keywords : Large Language Models; Test Case Generation; Retrieval Augmented Generation; Machine Learning; Generative AI;

    Abstract : This study investigates the utilization of Large Language Models for Test Case Generation. The study uses the Large Language model and Embedding model provided by Llama, specifically Llama2 of size 7B, to generate test cases given a defined input. READ MORE

  4. 4. Robotic Automation of Mechanical Verification

    University essay from KTH/Integrerad produktutveckling och design

    Author : Sofie Gårdestam; Amalia Kronér; [2024]
    Keywords : ;

    Abstract : This master thesis explores the implementation of Collaborative robots into Elekta's mechanical product verification process. Elekta is a pioneer in precision radiation therapy solutions. Ensuring the compliance of Elekta's products with performance, safety, and quality criteria is of great importance. READ MORE

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

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Alexander Florean; [2024]
    Keywords : 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;

    Abstract : 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. READ MORE