Sökning: "utveckling av datavetenskap"

Visar resultat 1 - 5 av 856 uppsatser innehållade orden utveckling av datavetenskap.

  1. 1. 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

  2. 2. FPGA Based Control of Multiple Electric Machines for Marine Propulsion Systems

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

    Författare :Simon Weideskog; [2024]
    Nyckelord :FPGA; Field Oriented Control; BLDC; SVPWM; SMO; Electric Drives; Electric Machines; Sliding Mode Observer; Marine Propulsion; Multiple Machines; Boat Motor; Fältorienterad styrning; marin framdrivning; elektriska drivsystem; elmaskiner; flertal maskiner; båtmotor;

    Sammanfattning : This master thesis addresses the control of electric propulsion motors in a marine context. The focus lies mainly on the implementation of field oriented control (FOC) in a field programmable gate array (FPGA). The hypothesis is that FPGAs provide performance advantages over microcontroller-based control solutions by enabling parallel processing. LÄS MER

  3. 3. Utveckling av en webbapplikation för bokning av testresurser : Applikationsutveckling i React och Node.js

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

    Författare :Madian Al Sabbagh; Luay Al Sabbagh; [2023]
    Nyckelord :web application; application development; react; nodejs; mysql; express; database; server; web interface; user interface; website; webbapplikation; webbutveckling; react; nodejs; mysql; databas; webbgränssnitt; server; express; användargränssnitt; webbsida;

    Sammanfattning : The web application Testpersonbokaren is used by Nordic Medtest to book fake test persons for various actors in healthcare so that they can test and validate their environments without being dependent on real personal data. The purpose of this project is to develop a new version of Testpersonbokaren with new technologies and frameworks as the existing version has several problems and limitations. LÄS MER

  4. 4. Context-aware security testing of Android applications : Detecting exploitable vulnerabilities through Android model-based security testing

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

    Författare :Ivan Baheux; [2023]
    Nyckelord :Android Application Security; Vulnerability Detection; Context-Awareness; Model-Based Security Testing; Domain Specific Language; Sécurité des Applications Android; Détection de Vulnérabilités; Sensibilité au Contexte; Tests de Sécurité Basés sur les Modèles; Langage Dédiés; Android-applikationssäkerhet; Upptäckt av sårbarheter; Kontextmedvetenhet; Modellbaserad säkerhetstestning; Domänspecifikt språk;

    Sammanfattning : This master’s thesis explores ways to uncover and exploit vulnerabilities in Android applications by introducing a novel approach to security testing. The research question focuses on discovering an effective method for detecting vulnerabilities related to the context of an application. LÄS MER

  5. 5. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders

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

    Författare :Kobe Moerman; [2023]
    Nyckelord :3D pose estimation; Joint landmarks; Variational autoencoder; Multi-task model; Loss discrimination; Latent-space modulation; Depth map; 3D-positionsuppskattning; Gemensamma landmärken; Variationell autoencoder; Multitask-modell; Förlustdiskriminering; Latent-space-modulering; Djupkarta;

    Sammanfattning : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. LÄS MER