Sökning: "Privacy"

Visar resultat 11 - 15 av 1785 uppsatser innehållade ordet Privacy.

  1. 11. Headphone Bubbles : Negotiating Space through Audio

    Kandidat-uppsats, Uppsala universitet/Kulturgeografiska institutionen

    Författare :Erik Viktorsson; [2024]
    Nyckelord :Privacy; headphones; public space; audio; music; Integritet; hörlurar; offentliga rum; ljud; musik;

    Sammanfattning : Headphones are a common feature of public space. They allow users to determine what noise they hear and are visible to others. This paper aims to explore how headphones affect spatial perception through personal choice and social context. LÄS MER

  3. 12. 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

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

    Master-uppsats, Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Författare :Sofia Leksell; [2024]
    Nyckelord :Federated Learning; Adversarial Attacks; Regression; Classification;

    Sammanfattning : 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. LÄS MER

  5. 14. Development of a System Dynamic Model of Mental Healthcare Structure in Stockholm

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Julia Osswald; [2024]
    Nyckelord :Mental health; mental healthcare; healthcare structure; system dynamics; simulation; emergency care; modeling; primary care; specialized care; Stockholm; mental healthcare system; Psykisk hälsa; psykiatrisk vård; vårdstruktur; systemdynamisk modell; simulering; akutsjukvård; primärvård; specialiserad vård; psykiatriskt sjukvårdssystem; Stockholm.;

    Sammanfattning : Mental illnesses are the leading cause of disability in the world today, affecting nearly a billion people including 14% of the world’s adolescents. Mental illnesses include both psychiatric conditions and inconveniences and is a broad term to describe multiple different conditions in varying severity. LÄS MER

  7. 15. Äldre patienters upplevelse av digital rådgivning inom primärvården : En litteraturstudie

    Kandidat-uppsats, Malmö universitet/Institutionen för vårdvetenskap (VV)

    Författare :Jeanette Hansson; Nathalie Blomqvist Carlsson; [2024]
    Nyckelord :Digital counseling; eHealth; Elderly people; Experiences; Perception; Digital rådgivning; E-hälsa; Erfarenheter; Upplevelser; Äldre personer;

    Sammanfattning : Bakgrund: Den ökade medellivslängden leder till att fler äldre individer söker vård relaterat till geriatriska sjukdomar. Det moderna samhällets digitalisering har implementerats inom vården och anses skapa ökad tillgänglighet och delaktighet för patienter. LÄS MER