Essays about: "Training Development. Evaluation"

Showing result 1 - 5 of 135 essays containing the words Training Development. Evaluation.

  1. 1. 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

  3. 2. Virtual H&E Staining Using PLS Microscopy and Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Sally Vizins; Hanna Råhnängen; [2024]
    Keywords : Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

    Abstract : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. READ MORE

  4. 3. Controlling or compensating? A qualitative study of how organizational actors' different perceptions affect the design and evaluation of training initiatives within a company

    University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

    Author : Moa Bernard; Nicholas Nikander; [2024]
    Keywords : Human capital; Personnel controls; MCS; Competence development; Cognitive frames;

    Abstract : Competent and talented employees are important for most companies. Despite their importance, there is a difference in research on whether employees are seen as assets or investors of human capital. READ MORE

  5. 4. Prototyping and Evaluation of a Lightweight Simulator Concept Combining Physical and Digital Assets

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Nicke Carlsson; Carl Månsson; [2023-09-27]
    Keywords : Virtual reality; extended reality; mixed reality; tactical training; simulation; combat; medical; treatment; tccc; unreal engine;

    Abstract : Serious injuries often occur in high-risk environments such as warfare, urban combat, and traffic accidents. The medical proficiency of soldiers and first responders in these situations is paramount. READ MORE

  6. 5. Low-No code Platforms for Predictive Analytics

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Soma Karmakar; [2023]
    Keywords : Low code; no code; Predictive analytics; databricks; azure; AWS; Google cloud;

    Abstract : In the data-driven landscape of modern business, predictive analytics plays a pivotal role inanticipating and mitigating customer churn—a critical challenge for organizations. However, thetraditional complexities of machine learning hinder accessibility for decision-makers. READ MORE